AI, I and EMe By Keith Torkelson MS, BS
Results Up Front
Skill Level Order Retained
Life-long-learner = Keith
Torkelson, MS, BS
Progress: 1.00 Pass | 0.50 SoSo |
0.00 Needs work
Computer Skills Quiz – 14 Items
(HSF)
HSF = High Scores are Favorable |
RT = Real Time | SS = Self-score (d)
Lesson Learned - Know what you
know and know what you don’t know
Confucius said, "To know that we know what we know, and that we do
not know what we do not know, that is true knowledge. By definition, metacognition refers to the ability to assess your knowledge
of a topic and understand what exactly you know and what you don't understand.
Nov 28, 2024
High Level Computer Skills –
Super Huge Links
https://www.google.com/
computer skills
Life-long-learner = Keith
Torkelson, MS, BS
From sources across the web
(Re-ordered)
Progress: 1.00 Pass | 0.50 SoSo |
0.00 Needs work
High Level Computer Skills Score
15 Items
HSF = High Scores are Favorable |
RT = Real Time | SS = Self-score (d)
Academia
What is a treatise?
A treatise is a lengthy,
formal written work that discusses a particular subject in a careful, systematic, and exhaustive
manner. It typically provides a comprehensive overview, explanation,
and analysis of the subject's principles
and rules, often used as a reference in legal, academic, or
philosophical contexts.
How many words does a treatise
have?
A treatise does not have a fixed word count, as its length varies based on the subject
matter and purpose. While a treatise is an extensive, formal, and
systematic written work that thoroughly analyzes a subject, academic guidelines
for a "treatise" as a type of postgraduate work can be found, such as
one from Sydney University Postgraduate Representative Association where it is described as up to 25,000 words.
A treatise on Artificial
Intelligence
The term "treatise" implies a comprehensive, systematic, and detailed written account of a
subject. A single, exhaustive treatise on artificial intelligence (AI) is
impractical, given the field's vast, interdisciplinary, and rapidly evolving nature.
Instead, a modern overview of AI can be presented through its key facets:
history, current applications, philosophical implications, and future outlook.
A treatise on Applied Artificial
Intelligence
A treatise on Applied Artificial Intelligence examines the practical implementation of AI to solve
real-world problems, as opposed to the theoretical focus on mimicking
human intelligence. It covers its application across diverse industries, from healthcare to finance, and
addresses the challenges and future trends of this transformative field.
PhD Dissertation – In Thanatology
A PhD dissertation in Thanatology is a scholarly work for a doctorate
degree that focuses on the scientific
study of death, dying, grief, and loss, involving research into the
biological, social, cultural, psychological, and spiritual aspects of the death
process and how individuals and families cope with it. Dissertations in this
field might explore topics like the metaphysics of grief, the rhetoric of end-of-life services,
the role of rituals in coping with loss, or the social construction of death in
different institutions.
Work Done - Thanatology
Legacy
https://healthman2059.blogspot.com/2025/09/thanatology-assignment-eol-legacy.html
Satisfaction
https://healthman2059.blogspot.com/2025/09/satisfaction-with-death-thanatology.html
FYI - Requirements for a PhD
Dissertation
A PhD dissertation requires original, independent research making a substantial contribution to its
field, supervised by a committee, culminating in a formal defense, and submitted electronically to a
database like ProQuest, along with supporting documents and adherence to
departmental formatting. The dissertation should present a clear hypothesis or creative approach, supported by data and
rigorous analysis, structured into chapters such as an introduction, abstract
model, proofs, data, and additional results.
Future Trends in AI
Future AI trends include the rise
of agentic AI and multimodal AI for complex tasks, advancements in generative AI with specialized
small language models (SLMs), increased focus on ethical AI and regulation, AI democratization through
open-source models and low-code/no-code platforms, and the integration of AI with other technologies like Quantum
Computing and IoT. AI will also continue to transform industries like healthcare, cybersecurity, and
finance, with new roles emerging while some existing ones are automated.
Where to begin studying
Artificial Intelligence? [Much Out of Scope]
To start studying Artificial Intelligence, first acquire a foundation in Python programming and key
math concepts like linear algebra and statistics. Then, take introductory
online courses on platforms like Coursera, edX, and Google AI to learn AI
basics and machine learning. Next, gain hands-on experience by exploring AI
frameworks like TensorFlow and PyTorch, and apply your knowledge by working on real-world projects.
AI User - What is the meaning of
AI user?
Artificial intelligence (AI) is a set of technologies that enable
computers to perform a variety of advanced
functions, including the ability to see, understand and translate spoken and written language,
analyze data, make recommendations, and more.
How to Learn Artificial
Intelligence: A Beginner’s Guide
Written by Coursera Staff •
Updated on Jul 25, 2025
This guide to learning artificial intelligence is suitable for any beginner, no matter where
you’re starting from.
https://www.coursera.org/articles/how-to-learn-artificial-intelligence
Create a learning plan.
Before you take a class, we recommend developing a learning plan. This
plan should include a tentative timeline, skill-building goals, and the
activities, programs, and resources you’ll need to gain those skills. First, ask yourself the following questions:
Your level of knowledge of
artificial intelligence:
Are you a true beginner?
Do you have a foundation in math and statistical skills? Are you familiar with basic terminology and concepts?
[Yes, A bit, A bit]
Your intention for learning:
Are you pursuing a new career or just supplementing your current
career?
[Engaged in life-long-learning
and desktop publishing]
How much time you can spend
learning:
Are you currently employed? Do you want to learn full-time or
part-time?
[Retired & Volunteer, Part-time]
How much money you can spend:
[None except to pay for an
Internet Connection]
Do you want to invest in a boot camp, take professional courses online,
or watch some videos on
YouTube and TikTok?
[Videos on YouTube]
How do you want to learn?
Are you interested in pursuing a degree program, a boot camp, or self-teaching through a variety
of online courses?
[Self-teaching]
Distraction – Simple real world
problem
FAQ - How is it that Windows 11
Voice Typing will not work?
[Solution will follow]
Testing AI Starting with MS Copilot
To begin testing AI with Microsoft Copilot, you should understand the different versions available,
the unique challenges of testing AI, and follow best practices. The general
approach is to test the AI's core functions with human-like interactions,
automate evaluation at scale, and create a feedback loop for continuous improvement. Step 1: Understand which Copilot you are
testing: Microsoft offers several versions of Copilot, and your testing
approach will depend on which one you're using. Microsoft Copilot (Consumer
Version): A free version
available in browsers like Microsoft Edge and at copilot.microsoft.com. It
relies on publicly available
information from the web.
Copilot with Windows 11
Voice Typing Solution
Activity - Improving your Dictation
To improve your dictation, use appropriate
recording equipment in a quiet environment, and plan what you want to say
before you start. Speak clearly and slowly, and spell out proper nouns
or unclear words. For voice
recognition software, consider training your voice model and patiently
correcting mistakes to help the software
learn your speech patterns.
Tasks – Using MS Word or Similar
Capture a phone call dictation.
Write a rough paragraph and then
another and so on
Correct any errors
Reasons to Quote Google AI
exactly
Quoting a Google AI exactly is necessary
when you are using its specific output as a primary subject of analysis or as
an example of AI-generated content.
Unlike quoting a human author for their ideas, the purpose of quoting an AI
verbatim is to accurately represent the specific
artifact it produced in a given instance.
When to quote directly and when
to paraphrase?
Use direct quotes for precise
definitions, striking phrases, unique
wording, or when the author's exact words are crucial to your analysis.
Paraphrase to synthesize longer passages, express general ideas in your own words, and to fit
source material into your writing
style and argument's context. Ultimately, prioritize paraphrasing for
clarity and conciseness, reserving direct quotes for specific instances where
the original wording is irreplaceable.
When is the original wording
irreplaceable?
The original wording is irreplaceable in fields where the precise, unalterable meaning of the text
is of paramount importance. This is most prominent in legal, religious,
historical, and artistic contexts. Any change, however small, could alter its’ intent and consequences.
Summary - Options writing papers
- Direct Quote
- Expecting broken links
- Original Images
- Original work
- Paraphrasing
- Pirating Images
- Text to Table
Learning more than I know
"Learning more than I know" reflects a paradox of knowledge where, with increased learning,
individuals realize the vastness of
what they don't know, leading to a sense of humility rather than
omniscience. This is a natural part of the learning process, as each answer
generates new questions, and the more a field expands, the more uncharted territory is revealed.
The concept is captured by the saying, "The more you learn, the more you
realize you don't know," a sentiment shared by historical thinkers like
Socrates.
AI Link Checking
AI link checking uses artificial intelligence to identify harmful, broken, or irrelevant links.
Unlike traditional checkers that rely on blocklists, AI-powered tools provide
more comprehensive and proactive protection against online threats.
Desired Link Check Functionality
- Collect Links as Needed
- Highlight whole document
- Copy to AI utility or APP
- Press scan
- Identifies status link by link
Considering Abandoning Links
(URLs, Addresses)
You should not abandon links entirely, but you must focus on building high-quality, relevant links
and avoid low-quality tactics. The idea of "abandoning links" likely
stems from the misconception that Google no longer values backlinks as a
ranking factor, or that all manual link-building is too risky. However, a
strategic, ethical link-building
strategy remains crucial for earning a site's authority and visibility.
Descriptive Metadata instead of
Links
In place of standard
hyperlinks, descriptive
metadata can be used to improve discoverability and provide contextual
relationships between resources, particularly in structured content
environments like digital asset
management (DAM) systems, archives, or internal knowledge bases. Instead of simply a click-through
link, the information itself serves as the connection. This approach is highly
effective in contexts where the primary user
task is finding or understanding information, not just navigating
between web pages.
FYI – Metadata >
I am not an Educated Sociologist
Sociologists study human behavior,
interaction, and organization. They examine the effect of social
influences, including organizations and institutions, on individuals and
groups. They also trace the origin and growth of these groups and interactions.
What are Sternheimer's strategies
to think like a sociologist?
Sternheimer strongly advocates for the development of critical thinking skills through
sociology. She encourages readers to question assumptions, challenge
taken-for-granted ideas, and analyze the underlying social forces that shape individual and collective behaviors.
FYI - Electric Light Orchestra –
Yours Truly, 2095 Lyrics (1981)
I met someone who looks a lot like
you
She does the things you do
But she is an IBM
She is the latest in technology,
almost mythology
But she has a heart of stone
She has an IQ of 1001, she has a
jumpsuit on
And she's also a telephone
Review - Levels of Computer
Technology Literacy
Computer Skills – Wikiversity
https://en.wikiversity.org/wiki/Computer_Skills
Key Concept & Learning Target
- SEO, or Search Engine Optimization
SEO is the process of improving
a website's visibility in search
engine results pages (SERPs) to drive more organic (unpaid) traffic. It
involves optimizing website content, structure, and technical aspects to make it more appealing to both
users and search engines.
Very High Level Computer Skills
(Out of Scope)
Very high-level computer skills include programming languages (e.g.,
Python, Java), cloud computing (e.g., AWS, Azure), cybersecurity, data science
(e.g., machine learning, data analysis), and complex software proficiency for
tasks like data visualization, advanced video editing, and system
administration. These skills demonstrate the ability to create, manage, and secure complex digital systems and
information, often in specialized technical or IT roles.
Data Management
Complex Data Systems
Complex data systems involve large, diverse datasets that cannot be managed by traditional methods,
necessitating advanced techniques for storage,
processing, and analysis, often using big data technologies and machine
learning to uncover patterns and drive decision-making in areas like urban
planning and supply chain management. At a more granular level, "complex
data types" are composite data
structures, like arrays or maps, that allow for nested data, providing
flexibility for representing relationships and hierarchical information.
Activity - Is my data system
complex?
Since the complexity of a data system depends on many specific factors,
there is no single "yes" or "no" answer to this question.
Complexity is relative, and you can only determine how complex your system is
by evaluating it against a set of key
characteristics [Below]. A
system can be complex in its data, its architecture, or both.
Traditional Structured Data
Traditional structured data refers to information organized in a fixed, predefined format,
typically stored in relational databases using tables with rows and columns.
This format is ideal for quantitative
data and enables efficient data retrieval and manipulation using
languages like SQL, powering business intelligence reports and operational
systems. Examples include customer information in CRM systems, sales
transactions, and IoT sensor readings like temperature or humidity.
Activity - Take an assessment
Scored by and for Keith
Torkelson, MS, BS
To evaluate your data system's
complexity, ask yourself the following questions:
ASF = Any Score is Favorable | RT
= Real Time
Database(s) Complexity Screener 6
Items
Note - The more "yes"
answers you have, the more complex your data system is.
Systems Architecture
Systems architecture is a high-level, conceptual model that defines a system's structure, behavior,
and how its components interact to meet organizational or business goals. It
acts as a blueprint, outlining the
interconnected hardware, software, networks, and other elements to
ensure they work together effectively and achieve desired functions and quality
attributes.
Programming - Small Code Change
A small code change involves making
minimal modifications to source code, focusing on a single,
self-contained task rather than a large feature. This practice is crucial for
improving code quality, as it results in less
complex, easier-to-review, and simpler-to-debug code. Small code
changes also make the development process more efficient by reducing the risk
of merge conflicts and making it easier to identify and roll back issues when
they arise.
Features of a Complex Data System
https://www.sisense.com/blog/7-signs-youre-dealing-with-complex-data/
https://cdn.sisense.com/wp-content/uploads/what-makes-data-complex.jpg
MSG = Mentalation Solutions Group
| TRC = Tork Reconstruction Company
Sample of one External Hard Drive
Databases (Continued)
Database Detail
A "database detail" refers to information about a specific database that describes its
purpose, structure, content, and management, rather than the general concept of
a database. Key components of database details include defining the data being stored, the relationships between
data, the physical storage methods,
and the software used to manage it. Understanding database details helps in
managing, securing, and optimizing data for specific applications like web
development or business operations.
Database…
Database Purpose
Databases are used to store,
organize, and manage data from various sources in an accessible and
secure way, enabling users and applications to retrieve, update, and analyze information efficiently. They
serve as the foundation for countless digital systems, including e-commerce
platforms, healthcare records,
financial systems, educational platforms, and entertainment services, by
providing a structured way to handle both structured
and unstructured data.
Database Structure
Database structure refers to the organization
and layout of data within a database, defining how data is stored, managed,
and retrieved. It essentially acts as a blueprint or schema for the database.
Key components of a typical
relational database structure include:
Tables:
The fundamental building
blocks, organizing data into rows and columns. Each table represents a
specific entity (e.g., "Customers," "Products").
Rows (Records):
Each row in a table represents a single, complete entry or record for that entity.
Columns (Fields):
Each column in a table represents a specific attribute or piece of information for the entity
(e.g., "CustomerName," "ProductID").
Primary Keys:
A unique identifier for each record within a table, ensuring no two records are identical.
And More:
Database Content
A content database is a system for storing, managing, and retrieving various types of digital information, typically built on a traditional database but enhanced with features for specific applications like web and mobile platforms. These databases organize content alongside its context, enabling efficient content-based campaigns and making it easier to manage documents, lists, and other assets. In platforms like SharePoint, content databases store all site content, settings, and user rights, while in a marketing context, they might track blog posts or social media campaigns.
Database Management
Database management is the
discipline of organizing, storing, maintaining, and controlling data
throughout its entire lifecycle,
typically facilitated by a Database
Management System (DBMS). This process ensures data integrity,
security, accessibility, and availability, allowing businesses to leverage data
for decision-making and operational
efficiency. Key tasks include data definition, manipulation, retrieval,
backup, and performance monitoring.
Key
Concept - MSG’s Data Bases
>Here
at Mentalation Solutions Group (MSG) we maintain some odd 20 or more
databases. They are segregated as
follows: Each flash drive is a different
database we have about 10 of them with two
being active on a daily basis.
We have several External Harddrives.
Each partition is a different database.
We split them by Media, Work, Backup Images, Sounds, etc. We have a degree of redundancy with our
data. We hope that one day we will
entrust our databases to our nephew and he can give them to a person or persons
that can use them to help training AI
systems. In a manner much of our thinking as captured
electronically may be used to
recreate our Neural Network.
AI Specific Skills List - Top AI
skills
From sources across the web
- Machine learning
- Natural language processing
- Computer vision
- Data Science
- Programming Languages
- Deep learning
- Generative AI
- Collaboration
- Critical thinking
- Neural networks
- Problem solving
- AI safety
- Prompt engineering
- Robotics
- Cloud computing
- Domain knowledge
- Flexibility and adaptability
- Mathematics
- Reinforcement Learning
- Big Data
- Communication
- Creativity
- AI model development
- AI ethics
AI Specific Skills List - Top AI
skills
Top AI skills include core
technical areas like machine learning, natural language processing
(NLP), data science, and computer vision. Proficiency in programming languages
(especially Python), mathematics and statistics, and AI frameworks (like
TensorFlow and PyTorch) are essential. Critical
soft skills such as problem-solving, critical thinking, communication,
collaboration, and a commitment to continuous learning are also vital for
working effectively in the AI field.
Activity
– Purposes and Motivations to Publish
The main purposes and motivations for
publishing range from societal benefit, such as contributing to public knowledge and solving real-world
problems, to individual and professional growth, including career
advancement, peer recognition, and the advancement of one's research field. Other key drivers include
demonstrating innovation and productivity, meeting research obligations,
fostering social dialogue, and securing future funding and opportunities.
Aspects
of Artificial Intelligence - Training Artificial Intellegence
Artificial Intelligence (AI) training
involves equipping machines with the ability
to learn, reason, and problem-solve like humans, utilizing various
techniques and components. Key aspects include data quality and handling,
different learning paradigms, and the development of specific AI skills.
Furthermore, understanding the core components of AI, such as machine learning,
neural networks, and decision-making
systems, is crucial for effective training.
Key
Concept - Food for Artificial Intelligence
Artificial Intelligence (AI) in industry
is powered by data, not
physical food. AI algorithms analyze data from various sources to optimize
processes, improve quality, and personalize
experiences. This includes optimizing production, predicting needs, personalizing recommendations, and even
creating new products.
Real World Problem - Popups
Pop-ups are pop-up ads or other pop-up
windows that appear suddenly on a screen, sometimes in a new browser
tab or window, or in a new tab. Malicious pop-ups can display misleading
warnings or claims to trick users
into installing unwanted software, sharing personal data, or clicking malicious
links. To avoid and manage pop-ups, you can use your browser's built-in
settings to block them, avoid
interacting with suspicious pop-ups, and run malware scans on your
device.
Power Boost Popup
A "Power Boost Popup" can refer to a type of website pop-up
designed to improve engagement and drive conversions, or it can refer to a persistent, unwanted pop-up from
a mobile app or service like Google's AI features or a mobile carrier. The
former is a legitimate marketing tool using strategic timing and offers, while
the latter is often an annoying ad or
system notification that users try to remove by adjusting device
settings or uninstalling apps.
Removing the Power Boost Popup
Activity - Search for
yourself. This is a good example of a
relatively complex fix.
Key Concept - What is the
difference between a fix and a solution?
A fix provides a temporary or
short-term remedy for an existing problem, often addressing the
symptoms, while a solution is a permanent, long-term strategy that eliminates the root cause of the
problem. Fixing involves quick, reactive measures to restore functionality,
whereas solving requires deeper analysis and strategic action to prevent the
problem from recurring, leading to greater benefits in the long run.
Aside – Includes notes from
November 22, 2023
Behavioral Health Advisory Board Presentation
(Torkelson, KE, 2023)
AI’s Impact: General – Clerical -
Clinical
Daily Impact of AI with the
moderately tech literate / literacy
For a moderately tech-literate individual, AI is not a futuristic
concept but a silent partner embedded
in their daily life. While they may not use complex AI models, they frequently
interact with AI-powered systems that enhance their convenience, automate
tasks, and personalize their digital experiences. The impact is often subtle,
but it carries both significant
benefits and notable drawbacks.
Levels of Computer Technology
Literacy
Levels of computer literacy describe a person's ability to use computers and digital technology,
progressing from basic skills like typing and using a mouse to advanced
proficiency in software, internet use, and even programming and cybersecurity.
Generally, these levels include basic,
where individuals can perform simple tasks and navigate simple interfaces; intermediate, involving more
complex software like word processors and spreadsheets; and advanced, which entails deeper
technical understanding, data management, and problem-solving across multiple
digital platforms. Some frameworks also define a foundational level of complete
inexperience and a proficient or expert level of mastery and application.
Tasks (Samples)
- Answer this question - What is the different between an activity and exercise?
- Begin to identify when AI is involved or helping you
- Make an outline and make a PowerPoint from it
- Find images from an in-house Database
- Find images online
- Use an existing PowerPoint and use it as a template
- Assemble and Finish a PowerPoint
- Help me find my articles using Google (Chrome)
- Help me find my articles using MS Copilot
- Use of Windows Explorer
- Use the voice to text features
An Answer - What is the different
between an activity and exercise?
In teaching, an activity is any purposeful
learning task or procedure that involves learners in movement or
engagement related to the course goals, while an exercise is a specific type of
activity that focuses on the controlled, structured
practice of a particular skill or language aspect, with an emphasis on
form and accuracy. Activities are broader and focus on engagement, whereas
exercises are narrower, focusing on practice and often targeting specific
learning objectives.
Searching
Deep or Advanced Level Searches
The terms "deep search" and "advanced search"
encompass a range of techniques and tools that go beyond standard web searches to find more specific, contextual, and
often hidden information.
Advanced searches typically use specialized operators and filters on major
search engines like Google, while "deep search" often refers to more
intensive, AI-powered methodologies
or searching hidden parts of the internet.
What are examples of deep search
search engines? (Out of Scope)
There aren't "deep search engines" that index the deep web; instead, there are specialized search
tools and databases that access the deep web, which is the part of the internet not indexed by standard search
engines. Examples of deep web resources that require specific search
tools or access methods include large databases like NOAA A-Z Databases (for
oceanographic data), the Federal Digital System (FDsys) (for government
information), and private research archives like the High Energy Astrophysics
Science Archive Research Center (HEASARC).
Will Firefox perform deep
searches?
While Firefox does not
perform "deep searches" by default, it is actively developing
and testing new AI-powered search
features. Furthermore, its customizability allows users to integrate
various tools for more comprehensive search capabilities.
Key Concept - Publications of
Keith Torkelson, MS, BS
>Comparing Google to Bing when
searching for our own material. A primary purpose to learn AI is to increase the
visibility of our publications on the web.
We find that Bing is better
for finding our publications than is Google.
Search Engines
A search engine is a software
program that enables users to find information on the internet
or within a database by entering keywords
or queries. Popular search engines include Google, Bing, and
DuckDuckGo, which use algorithms to crawl,
index, and rank web pages to provide relevant results. Many alternatives exist, offering
different features like enhanced privacy (DuckDuckGo, StartPage), localized
results (Baidu, Naver), or unique functions like AI-driven answers (Perplexity
AI).
What is a Browser?
A web browser, often shortened to browser, is an application for accessing websites. When a user requests a
web page from a particular website, the browser retrieves its files from a web server and then displays
the page on the user's screen. Browsers can also display content stored locally
on the user's device.
Chrome V Edge
Microsoft Edge generally uses
less memory and has better battery life than Google Chrome, especially
on lower-end machines due to features like Efficiency Mode and Sleeping Tabs.
Edge also offers strong AI
integration with Copilot and built-in features for shopping and reader
mode. Chrome excels in its robust
integration with the Google ecosystem, potentially faster JavaScript
execution, and a generally faster and smoother browsing experience. Both are
Chromium-based, meaning they support all Chrome extensions, though some
Google-specific extensions may be restricted in Edge.
Digital Presence / Penetration
An individual's "digital presence" is their collective online identity,
while "digital penetration" typically refers to how easily that
presence can be exploited by an attacker. The term "digital
penetration" is more commonly used in cybersecurity and marketing contexts, where it can
be confused with other meanings.
History
AI Timeline
An AI timeline spans early philosophical concepts of automated reasoning and mechanical
devices, through the birth of the term "Artificial
Intelligence" in the 1950s, the emergence of expert systems and neural
networks, the setbacks of "AI Winters," and recent leaps with
generative models like ChatGPT and AI agents. Future projections see further
advancements in autonomous physical
robots and even potentially self-improving, conscious AI by the
mid-21st century.
Aside – Mechanical Device -
Antikythera Mechanism
Antikythera Mechanism, an ancient Greek astronomical device from the 2nd century BCE used as a complex mechanical computer to
predict celestial positions, eclipses, and even the timing of the Olympics.
Discovered in a shipwreck off the coast of the Greek island of Antikythera in
1900, this "analog computer" used a system of bronze gears to
mechanize astronomical cycles with a precision that wasn't seen again for over
a thousand years.
History of the Smartphone
The first smartphone was the IBM Simon, released in 1994, which combined phone calls with a
touchscreen and PDA features. The term "smartphone" didn't become common until the early
2000s as devices became more capable. The release of the first Apple iPhone in
2007 marked a turning point, popularizing the modern touchscreen and app-based smartphone that continues
to evolve today.
What does AI do for me on my
Smartphone?
AI works on your smartphone to create a more personalized, intuitive, and efficient experience, often running invisibly in the background.
It learns from your behaviors and preferences to anticipate your needs, improve
performance, and enhance daily tasks.
FYI - Data Doctors
Here’s how to use AI on your
smartphone
Feb 24, 2024, 5:00 AM
AI - Getting Started
OpenAI’s ChatGPT is considered the most
advanced chatbot, but it can be a bit overwhelming for beginners.
Microsoft is a big investor in OpenAI and has incorporated GPT=4 into their
Bing app, which allows you to do side-by-side
comparisons of search vs
chatbot results. Once you
download the Bing app, try using it instead of your normal search engine to see
if it’s more helpful. Microsoft’s chatbot, called Copilot,
will appear at the bottom center of the app.
New AI apps are being created almost daily, so if you’re in search of a
specific AI tool, try asking Copilot for suggestions.
Key Concept - Back to Voice
Typing via Copilot
Great! Here's how you can enable
and use the voice typing feature on your Windows device:
Activity - Give it a try, and let
me know how it works for you!
“This is a test of voice typing”
Key Concept - Error checking
after voice typing
There are several effective methods for checking and correcting errors after voice typing, ranging from using built-in software commands to manual proofreading techniques. The best approach depends on the software you're using and the type of corrections needed.
Behind much of AI! – The
Algorithm
Parts of an algorithm
An algorithm's essential parts are the three control flow structures: Sequencing, the order of steps; Selection, which uses conditional logic (like
"if-then") to choose paths; and Iteration,
which repeats steps as a loop until a condition is met. Beyond these,
algorithms also have fundamental components like clear Input and Output, basic
Operations, and the necessary elements for Termination, ensuring the process
has a defined end.
Does your brain use algorithms?
Yes, the human brain uses
algorithms—computational procedures or sets of rules—to process inputs,
form thoughts, and produce outputs like actions and emotions. These
"mental algorithms" are how the brain handles everything from
perceiving your environment to learning new skills. Scientists study these
algorithms to understand intelligence, with the goal of advancing artificial
intelligence and even reprogramming
negative thought patterns in humans.
Parts of an Algorithm (Brief)
- Algorithms
- Calculations
- Categorize
- Comparisons
- First Field
- Flow Chart
- Hacking
- Input
- Modular Programming
- Order
- Record
- Score and Interpret Assessments and Measurements
- Set of Arrays
- Set of Instructions
- Sub-routines
- Output – Printing
- Spell Check & Correction
Earl Rennison - Algorithms
https://www.linkedin.com/in/earl-rennison-033a87/
Bios of a friend
An accomplished technical leader with a proven track record of researching and developing cutting edge technology in various fields of large scale distributed systems and artificial intelligence (AI) and translating those technologies into successful commercial products. Balanced mix of leadership, strategic and tactical execution accomplishments.
Super Advanced Computing
Extensive experience leading teams in developing and applying the following AI technologies:
• Semantic Search
• Knowledge Representation and Reasoning (KRR)
• Graph Databases and Search Algorithms
• Natural Language Processing (NLP)
• Computational Linguistics
• Machine Learning (ML)
• Deep Learning (DL)
• Deep Reinforcement Learning
• Recommender Systems
Earl Rennison – Algorithms
Continued
https://www.linkedin.com/in/earl-rennison-033a87/
Invented numerous technologies in these areas for which 16 patents have
been granted. Continually invented supporting technologies necessary to deliver primary solutions to the market.
Applied these technologies to develop advanced products in investment
management and trading, recruiting and staffing, human capital management,
e-commerce, ad placement and streaming music.
[Note - NEED TO COPY AND PASTE
RESEARCH GATE’S ADDRESSES]
Galaxy of News - An Approach to
Visualizing and Understanding Expansive News Landscapes
June 1996
FYI
FYI
https://www.researchgate.net/figure/Architectural-Overview-of-the-Galaxy-of-News-System_fig3_2738975
Metrics and AI
02_LA_HSB_Housing_Metrics_and_AI_25033106_Content
Housing Metrics and AI
Artificial intelligence (AI) is transforming
the analysis of housing metrics by leveraging large datasets to provide
enhanced property valuations, predictive market forecasting, and operational
efficiencies. However, its implementation also introduces significant
challenges, including data quality
issues, integration complexities, and ethical concerns.
Associated With > Metadata
>
04_Earl_Rennison_25033106_Profile
Algorithm – Complex Flow Chart
FYI - Sample of Earl’s Work – “News
Architecture”
https://www.youtube.com/watch?v=a0vQAmpMagI
Real
People – Success of a friend (Continued)
5 Ways Semantic Search Will Disrupt Business - IT Central
By
Eric Savitz Former Staff. Covering the intersection of tech and investing.
Jun
20, 2012, 04:40pm EDT
https://www.forbes.com/sites/ciocentral/2012/06/20/5-ways-semantic-search-will-disrupt-business/
Guest
post by Earl Rennison
Earl
Rennison is VP of Architecture at Monster Worldwide.
SEO
= Search Engine Optimization
To effectively track and improve your
SEO performance, focus on key metrics like organic traffic, keyword rankings, bounce rate,
conversion rate, and backlinks, as well as emerging metrics like Core Web
Vitals and engagement rate.
Here's
a breakdown of important SEO metrics:
Core
Metrics
Key
Concept - Organic Traffic:
Organic traffic consists of visitors who
find and click on your website from unpaid, natural listings on search engine results pages
(SERPs) rather than from paid advertisements. This type of traffic is driven by
effective search engine optimization (SEO), which involves optimizing content, improving website technical performance,
and building high-quality backlinks
to signal relevance and authority to search engines like Google.
Keyword
Rankings:
Keyword rankings refer to your website's
position in search engine results pages (SERPs) for specific search terms, with
higher rankings indicating greater
visibility and increased potential for organic traffic and conversions.
Monitoring keyword rankings is a crucial part of Search Engine Optimization
(SEO) to gauge the effectiveness of SEO efforts, identify opportunities for
improvement, and understand how users
find your content. Tools like Google Search Console can help you track
these rankings and gain insights into your website's performance.
Bounce
Rate:
Bounce rate is the percentage of website
visitors who leave your site after viewing
only one page without interacting further. It indicates how well your
site engages users, with high rates suggesting a lack of engagement and low
rates showing success in keeping
visitors interested and exploring. While a low bounce rate is generally
desirable, what constitutes "good" varies by industry, with content-focused sites like blogs
often having higher rates.
Conversion
Rate:
Conversion Rate (CVR) is the percentage
of users who complete a desired
action on a website or app, calculated by dividing the number of
conversions by the total number of visitors and multiplying by 100. This key
performance indicator (KPI) helps measure the effectiveness of marketing
campaigns and user experiences in transforming visitors into customers, with
common desired actions including purchases, sign-ups, or form submissions.
Backlinks:
Backlinks are hyperlinks from other
websites to your own, acting as "votes of confidence" from those
sites. These inbound links signal to search engines that your content is valuable and trustworthy,
boosting your website's authority, credibility, and overall ranking in search
results. High-quality backlinks from reputable and relevant websites carry
significant weight, improving your site's domain authority and making it more
visible to users searching for information.
Indexed
Pages:
To see the number of pages Google has
indexed from your site, you can use either a simple Google search with the
site:yourdomain.com operator or the detailed
reporting tools in Google Search Console. Search Console offers a more
in-depth view in its Coverage report under the Indexing section, showing pages
that are valid, have warnings, or have errors, which is more comprehensive than
the basic search result count.
FYI
- Google SEO Tracker - Semrush
Try
It for Free (IT IS NOT REALLY FREE)
SERP
tracker, site health checker, traffic analytics, backlink checker, ad analysis
& more. 50+ marketing tools, 20B+ keywords, 800M+ domains & Track Your
Site's Rankings · AI & Traditional Search · Site Audit · Backlinks
Checker
Referring
Domains:
Referring domains (RD) are the count of
unique websites that link to your website, regardless of how many links each
site provides. This is distinct from backlinks, which count each individual
link. A higher number of referring domains, especially from reputable sources, indicates greater authority and
credibility, which positively influences a website's performance and
ranking in search results.
Emerging
Metrics:
Core
Web Vitals:
Metrics like Largest Contentful Paint
(LCP), Cumulative Layout Shift (CLS), and First Input Delay (FID), which
measure page performance and
user experience.
Engagement
Rate:
Engagement rate on a website measures
the proportion of website visitors who perform meaningful actions, such as clicks, scrolls, or conversions,
rather than just viewing the page. It's calculated by dividing the number of
"engaged sessions" (sessions where a visitor stays on the page for at
least 10 seconds, views multiple pages, or triggers a conversion event) by the
total number of sessions, multiplied by 100 to get a percentage. A higher engagement rate indicates
users are finding your content relevant and valuable, leading to a greater
likelihood of achieving your website's goals.
Impressions:
Impressions, in the context of websites
and digital marketing, represent the total
number of times your website's pages or content appears in search
engine results pages (SERPs), regardless of whether a user clicked on them or
not. This metric indicates the
visibility of your website and serves as a starting point for user
engagement, as each appearance offers a potential opportunity for interaction.
Analyzing impressions helps you understand how often your content is seen,
providing insights into your visibility and allowing you to gauge the
effectiveness of your content in reaching
your target audience.
Domain
Authority:
Domain Authority (DA) is a search engine
optimization (SEO) metric developed by Moz that forecasts a website's ability to rank in search engine
results pages (SERPs), with a scale from 0 to 100. While not a direct ranking
factor, higher DA scores correlate with a higher likelihood of ranking well due
to the quality and quantity of backlinks, content, and overall site authority.
You can check a site's DA using online tools, which helps in competitive
analysis and informs SEO strategies, such as link building and content marketing.
Organic
Conversions:
Organic Conversions are the number of
valuable actions taken by users who found your website through non-paid,
organic search engine results, such as a purchase, newsletter sign-up, or lead
form submission. These conversions are crucial because they demonstrate that
your organic search strategy
is effectively driving users who are actively interested in your offerings,
making this traffic highly valuable and profitable for businesses.
Average
CTR (Click-Through Rate):
Click-Through Rate (CTR) measures the percentage of users who click on
your website listing after seeing it in search results, calculated as (Total
Clicks / Total Impressions) x 100. A higher CTR indicates that your ad, title, and description are
compelling and relevant to users, leading to more traffic and potentially
better Quality Scores in paid advertising. For organic search, the #1 result
averages a high CTR, which significantly decreases for lower positions.
Change Gears – Biology V
Computology
Mechanisms in Biochemistry
Key Concept - How complex is the
metabolic pathways chart?
The complexity of a metabolic pathways chart is immense, appearing as a "mess of lines" that resembles a vast subway
system or an intricate circuit board, due to the interconnectedness of
thousands of chemical reactions involving countless
molecules. While initially overwhelming, this complexity reflects the
integrated network of how cells generate
energy and essential materials through a sequence of enzyme-catalyzed
reactions. The chart's complexity is inherent to life, showing ordered steps and patterns
rather than random chemical activity.
Will AI Leverage the Metabolic
Pathways Chart?
Yes, AI is increasingly
leveraging metabolic pathway charts to drive discovery and innovation
in biotechnology, medicine, and research. By analyzing metabolic data in new
ways, AI is moving beyond static charts to predict new pathways, optimize
biological processes, and personalize
medicine.
Which is more complex the
metabolic pathways chart or a computer operating system?
There is no simple answer to which is more complex, as it depends on
how complexity is defined. The two systems operate on fundamentally different principles
and scales. A computer operating system is complex
by design, while a metabolic pathways chart represents the complexity
of an evolved natural system.
However, in many regards, the metabolic pathways of a living organism are more
profoundly complex.
Complexity of setting things
Right
The user's query is "Complexity of Setting things Right". The
search results indicate there is no specific, widely recognized work with this
title. Instead, the phrase is a general concept that applies to a range of fields,
and the search results provide different interpretations. Therefore, the
complexity of "setting things right" depends on the specific context in which the phrase is used.
Algorithms - Revisited
In mathematics and computer science, an algorithm is a finite sequence of mathematically
rigorous instructions, typically used to solve a class of specific
problems or to perform a computation.
Algorithms are used as specifications for performing calculations and data
processing.
Computer Program
A computer program is a set
of detailed, step-by-step instructions written in a programming
language that tell a computer how to perform a specific task or set of tasks,
forming a critical component of software. Written by programmers, this
human-readable "source code" is then translated into "machine
code" (binary ones and zeros) that the computer's hardware can directly
execute. Common examples include web browsers, word processors, video games,
and operating systems.
Action Defined
An action is a thing that is
done, and not merely thought or spoken about. Possible actions could
range from blinking to invading a country. Action comes from agere, the Latin
verb meaning "to do." Legal action is the initiation of a lawsuit to
demand your rights.
Applications (APPs)
"Applications" refers to a formal written or verbal request,
a formal written document, or a software
program designed for a specific purpose. For example, one might submit
a job application or use a word processing application. In a broader sense, it
can also mean the practical use or implementation of something, like the application
of new technology.
Output and Printing
"Output and Printing" refers to how data or information is presented, either digitally on a screen (output) or physically on paper
(printing). In computing, output is data displayed via the console or graphical
user interface, while printing involves sending that digital data to a physical
printer as a "hard copy". Output management is a broader concept that
includes digital and print delivery, while print
management specifically focuses on physical document production and
distribution.
Aside - Will paper be replaced?
No, paper will not be completely replaced; instead, digital and paper formats will continue
to co-exist, with paper remaining relevant for its tangible benefits,
reliability, and unique role in creativity and learning, while digital formats
offer efficiency for data-intensive tasks and accessibility. While digital
alternatives are reducing paper
consumption in some areas, especially in offices, paper's use in
packaging and hygiene products is expanding, ensuring its continued
manufacturing.
More on APPS
"Apps" (short for applications) are software programs designed to run on electronic devices like
smartphones, tablets, and computers, performing specific tasks for users, such
as browsing the internet, sending emails, playing games, or managing finances.
These applications can be found on mobile devices or personal computers, with
categories including productivity,
entertainment, social media, and more.
Passive AI is used more with
Smartphones than PCs
While AI is increasingly used in both smartphones and PCs, passive AI
functions like voice recognition and
predictive text are more prevalent on smartphones due to their focus on
user experience and convenience, while PCs are more geared towards AI-powered
productivity and creation.
Here's a more detailed
explanation:
Key Concept - Smartphones and
Passive AI
Smartphones often utilize AI for tasks like voice dictation, language translation, and facial recognition,
which are considered passive AI because they are background functions that
enhance user experience without requiring active user input. These features are
designed to make the phone more intuitive and easier to use, such as unlocking
the phone with facial recognition or dictating a message with voice commands. Smartphones are
also starting to incorporate generative
AI, which enables features like generating fresh wallpapers or
adjusting expressions in photos.
PCs and AI
While PCs also use AI for tasks like voice assistants and image recognition,
they are increasingly being used for AI-powered
productivity and creation tools. For example, AI can be used for tasks
like video editing, music production, or creating websites, which are more
complex and require a higher level of user interaction. PCs are also used for
more complex AI tasks, such as running AI models locally for tasks like image recognition or machine
learning.
FYI > Metadata >
https://www.forbes.com/sites/danielnewman/2016/08/25/ai-and-the-future-of-smartphones/
Learning AI
Scaffold for Learning AI
A "scaffold for learning AI" involves structured, temporary
support to help individuals develop AI literacy
and competence, progressing from basic concepts and prompts to
advanced, critical engagement
with AI tools. Key strategies include: providing clear models of effective
prompts, guiding practice with real-time feedback, gradually removing support as skills improve, and encouraging
reflection on the AI's outputs to foster deeper understanding and critical
thinking.
Framework for Learning AI
A framework for learning AI is a set of tools, libraries, and
established processes that provide a structured environment for developing, training,
and deploying AI models, making the complex process of building intelligent systems more accessible for developers.
Key AI frameworks like TensorFlow and PyTorch are fundamental for deep
learning, while libraries such as Scikit-learn and Keras simplify classical
machine learning tasks and rapid prototyping. Newer frameworks like Hugging
Face and Langchain focus on generative
AI and large language models (LLMs), providing pre-built components for
tasks like prompt engineering and document retrieval.
Machine Learning
Machine learning is a branch of artificial intelligence (AI) that uses
algorithms to enable computers to learn
from data without explicit programming, allowing them to identify
patterns, make predictions, and improve performance over time. It works by feeding algorithms large datasets,
which they use to train themselves on data inputs and desired outputs,
identifying relationships to make informed decisions or predictions on new
data. Common applications include product recommendations, fraud detection, medical diagnostics, and personalized medicine.
https://www.sciencedirect.com/science/article/pii/S2666920X24000134
Universal Design for Learning
Synthesizing the Universal Design for Learning (UDL) framework with AI
education frameworks involves leveraging AI to create the flexible, inclusive
learning environments that UDL promotes, addressing learner variability and
potential barriers from the outset. AI tools can provide personalized support,
offer varied pathways, and deliver real-time feedback, aligning with UDL
principles of multiple means of engagement, representation, and
action/expression. This integration aims to design AI-powered learning experiences that are not only technologically
advanced but also inherently equitable, ensuring all learners can thrive by building on strengths and
eliminating barriers to access and engagement.
https://www.mdpi.com/2313-7673/8/5/442
Revisit - Artificial Intelligence
through Time
Artificial Intelligence (AI) has evolved from philosophical concepts to sophisticated technologies over
centuries. Early ideas of intelligent machines can be traced back to ancient
times, with thinkers like Leonardo da Vinci sketching mechanical figures. The
formal study of AI began in the mid-20th century, marked by the Dartmouth Workshop in 1956 and
the development of early programs like Eliza, a chatbot that could simulate
conversation. The field experienced periods of intense growth and funding,
followed by "AI winters" of reduced
interest due to unmet expectations. Recent advancements in deep
learning, fueled by increased computational power and vast datasets, have led
to breakthroughs in areas like image recognition, natural language processing,
and generative AI, ushering in a new
era of AI capabilities.
ADLs and Artificial Intelligence
"ADLs" can refer to either Activities of Daily Living or Action Description Language in
the context of Artificial Intelligence, each with distinct applications. AI
supports ADLs (activities) by enabling monitoring, predictive analytics, and
personalized assistance for independent
living, using techniques like sensor
data analysis and machine learning to understand and predict
activities. AI also uses ADL (language) as a framework for automated planning
and scheduling, particularly in robotics, to define actions for AI systems to
execute in a logical sequence.
Aside - Action - In November 2023
we Addressed Pros of AI before the Behavioral Health Advisory Board (BHAB).
AI Advantages
Advantage Categories
Advantage categories, or types of competitive advantage, generally fall
into a few main groups: cost advantage, differentiation advantage, and focus
(or niche) advantage. Cost advantage
means offering lower prices, differentiation
advantage means creating unique, valued products or services, and focus
advantage involves targeting a specific market segment. These can be supported
by various factors like innovation, technology, operational excellence, and
strong brands.
General AI
"General AI," more formally known as Artificial General Intelligence (AGI), refers to a
hypothetical type of AI that can understand, learn, and apply knowledge across
a wide range of tasks, similar to human cognitive abilities. This is distinct
from current "Narrow AI," which is designed for specific tasks like
facial recognition or language translation. While AGI currently remains a theoretical concept, its
realization would represent a significant leap, potentially enabling machines
to exhibit abstract thinking, common sense, and adaptability across diverse
fields.
Key Concept - Clerical AI
Clerical AI refers to the use of artificial intelligence (AI) to
automate, streamline, and enhance tasks traditionally performed in clerical roles, such as data entry, report
generation, and customer communication. Clerical jobs themselves are
entry-level positions involving general office duties and administrative
support, and the introduction of AI is disrupting these roles by automating
routine, repetitive tasks while augmenting human capabilities. While some clerical
positions are vulnerable to replacement, especially those involving highly
structured data processing, others are likely to be transformed as AI handles
mundane tasks, allowing humans to
focus on complex problem-solving, strategic thinking, and roles
requiring emotional intelligence.
Key Concept - Clinical AI
Clinical AI integrates artificial intelligence into patient diagnosis, treatment, and
monitoring, using machine learning to analyze medical data for improved
outcomes, while the broader field of clinical refers to the actual practice of
medicine and direct patient care, where Clinical AI functions as a tool to augment decision-making and care
processes. Essentially, clinical AI serves as a specialized form of AI
designed for healthcare settings to enhance the clinical practice of medicine
by providing data-driven insights, automating certain tasks, and personalizing
patient interventions.
Kay Concept - Staffing Issues
& the Replacements (AI)
In response to staffing issues, organizations are increasingly
implementing AI solutions to automate tasks, improve recruitment, and optimize
workforce planning. While AI can address chronic labor shortages and boost
efficiency, it also raises ethical
concerns about job displacement, algorithmic bias, and privacy.
Indicators of staffing problems
- No pick up phone
- No call back
- Mailbox full
- No respond to emails
- Obvious staff shortages
- Gaps in administrative hierarchies
- Retirement
- Empty chairs at board meetings
- Died too young
The Replacements to clinical staff
"Replacements to clinical staff" refers to emerging
technologies and alternative staffing models that can either assist or, in some
cases, partially substitute for tasks traditionally performed by clinical
personnel. These changes are often driven
by factors like ongoing workforce shortages, budget constraints, and
the desire to improve efficiency and patient outcomes.
ADLs and Artificial Intelligence
(Revisited)
"ADLs" can refer to both Activities
of Daily Living and Action Description Language in the context of AI.
AI supports monitoring and enhancing
Activities of Daily Living through activity recognition in smart homes for
healthcare and assisted living, while Action Description Language is a
framework used in AI, particularly
robotics, for automated planning and scheduling.
AI and Dependencies
AI can simplify task management by predicting project dependencies, yet over-reliance on AI in daily life can erode critical human skills like communication, problem-solving, and empathy, while also posing risks in the development and operation of AI systems themselves, such as harmful path dependencies and vulnerability oversight. To navigate these complexities, a balanced approach is needed, integrating AI tools while preserving human intuition, establishing clear AI development guidelines, and fostering mindful use to prevent cognitive decline and maintain healthy human connection.
Example AI and driving
Examples of AI in driving include
self-driving cars (like Waymo and Tesla's Autopilot) that use AI for navigation
and obstacle detection, and intelligent traffic management systems (like those
by Siemens) that use AI to optimize traffic flow by adjusting signals. AI also
powers personalized driving experiences by learning user preferences for seat
position and climate, and enhances driving safety through features like adaptive cruise control and emergency
braking.
Incoming Message Delay
Incoming message delays are typically
caused by signal or carrier issues, network congestion, phone
limitations like low memory or an outdated device, or issues with the
recipient's phone or account, such as a full inbox, blocked contacts, or being
in an area with poor reception. For internet-based messages (like email or
apps), delays can also stem from overloaded
servers, spam filtering, the recipient's device or inbox being full, or
settings that restrict background app activity.
Activity - Smartphone V Laptop
both on the same connection
To have your smartphone and laptop on the same connection, you can
connect both to the same Wi-Fi network, or use
your phone as a hotspot for your laptop. You can also use Bluetooth for
direct, albeit slower, file transfer or a USB cable for a more direct
connection to share internet access. Cloud services like Google Drive or
OneDrive provide a wireless way to synchronize files between devices.
For the Kids
Picking Avatars
To choose an avatar, consider its purpose and select one that reflects your identity, goals, or
interests, or one that is a favorite character or a realistic
representation of yourself. In virtual worlds like VRChat, you can find default
avatars, discover them in user-created worlds, search for them by name, or even
clone them from other players. For social media or professional platforms,
choose a clear, high-quality image
that is easy to recognize.
Mr. Analog V Clan Digital (Yes
and No)
The search query "Mr. Analog V Clan Digital (Yes and No)"
does not refer to a specific, widely recognized intellectual property. Instead, the phrase is a creative and
playful framing of the classic debate between analog and digital technologies.
The "(Yes and No)" component further emphasizes that neither side is
entirely superior and that the best solutions often involve a hybrid approach.
Miss AI
Miss AI is the world's first
beauty pageant for AI-generated images and virtual influencers,
organized by the Fanvue World AI Creator Awards (WAICAs). The 2024 winner was
Kenza Layli, a Moroccan lifestyle influencer created by Miriam Bessa, who won a $20,000 prize for her
developer. The pageant assesses contestants on their looks, the technical skill
behind their creation, and their social media presence, with both human and AI judges evaluating
participants.
Ms. Minutes - Loki
Miss Minutes is an artificial intelligence created by He Who Remains to observe and provide aid to the
Time Variance Authority. Serving as the TVA's animated mascot, she spread the
organization's propaganda to its workers and Variants while also serving as the liaison between
He Who Remains and Ravonna Renslayer.
Picking the gender of your avatar
To pick your avatar's gender, go to the avatar or profile settings for
the specific game or platform you're using. You'll typically find a section to select your
gender or mix and match features, and the exact steps vary, but the general
process involves navigating to account or character settings to make your
choice, which may involve picking a pre-defined male/female avatar or
customizing your look.
Aside – Search
Avey C Asus (no hits with Google)
Avey and Keith Torkelson (Bing –
Several Hits – Mixed Content)
Avatar Fit for Avey C.
As of August 2025, there is no public information identifying a
well-known person named "Avey C." to create an avatar fit for. Here
is an avatar fit inspired by Avey's aesthetic, which blends emo, goth, and Y2K styles. This design is primarily
suitable for platforms like Roblox or VRChat.
Emo, Goth, and Y2K Styles
Emo style features dark band t-shirts, skinny jeans, plaid, and accessories like studded belts and Converse, reflecting a punk and emotionally expressive vibe. Goth embraces a darker, more elegant aesthetic with black clothing, corsets, lace, dark makeup, and platform boots, emphasizing the macabre and mysterious. Y2K style from the early 2000s mixes casual with glam, incorporating bright colors, mini-skirts, rhinestones, logos, and denim.
Computing (Computology)
FAQ - Is AI influencing my
session on my laptop right now?
“AI adjusts CPU and GPU performance
dynamically based on the applications being used. Intel's Dynamic
Tuning Technology, found in many laptops with Intel processors, uses AI to
predict workloads and adjust performance levels to balance power consumption and performance.”
CPU V GPU
CPUs are general-purpose
processors for various tasks, GPUs excel at parallel processing, especially for graphics and AI
workloads, and TPUs are Google's custom-designed processors optimized for
TensorFlow-based machine learning
tasks.
CPU (Central Processing Unit)
A Central Processing Unit (CPU) is the brain of a computer, an electronic component that executes
instructions from a computer program by fetching, decoding, and executing them.
It performs arithmetic, logical, control, and input/output operations,
coordinating data flow between memory and other components to process input
into output. The CPU's performance is measured by its clock speed and number of cores, which determine how quickly
it can handle tasks.
GPU (Graphics Processing Unit)
A graphics processing unit is a specialized electronic circuit designed
for digital image processing and to
accelerate computer graphics, being present either as a component on a
discrete graphics card or embedded on motherboards, mobile phones, personal
computers, workstations, and game consoles
TPU (Tensor Processing Unit)
Tensor Processing Unit is an AI
accelerator application-specific integrated circuit developed by Google
for neural network machine learning, using Google's own TensorFlow software. A Tensor Processing Unit (TPU) is an
application-specific integrated circuit (ASIC) developed by Google. Its primary
purpose is to accelerate machine learning workloads, particularly those
involving neural networks and utilizing Google's TensorFlow software. TPUs are
designed to efficiently perform the computationally intensive operations common
in machine learning, such as matrix multiplications.
Machine Learning (Revisited)
This specialization allows them to achieve higher performance and energy efficiency compared to
general-purpose CPUs or even GPUs for certain machine learning tasks. Google initially developed TPUs for internal
use within its own services, such as Google Search and Google Photos. Later,
Google made TPUs available to external users through its Google Cloud platform,
allowing developers and researchers to leverage their power for training and
deploying AI models. There are also smaller versions of the chip available for
edge computing applications.
Key Concept - 10 ways AI is being
used in Laptops [2025] – DigitalDefynd
For the Kids - Summary
AI integration in laptops marks a significant
technological leap, transforming them from simple computing devices
into intelligent, adaptive companions.
The advancements in AI-driven features, such as performance optimization,
security enhancements, personalized experiences, and real-time language
translation, illustrate the immense
potential of this technology. Companies like Lenovo, Dell, HP, and
Apple are at the forefront, pushing the boundaries of what laptops can achieve.
As AI is on the path of evolution, we can expect more innovative applications to enhance further the
efficiency, convenience, and enjoyment of using laptops. These AI-powered
features address current user needs and anticipate
future demands, ensuring that laptops
remain essential tools in our increasingly digital lives. Embracing these
innovations promises a more connected, productive, and seamless user
experience.
Can I get AI on my laptop?
“The power of AI is built
into Windows 11. From productivity and creativity apps to advanced AI
tools that make things more accessible, these features will help you do more
than you could imagine.”
AI Tools and Features in Windows
11 - Microsoft
Detective you have to ask the
right question
"Detective, you have to ask the right question" is a famous
line from the movie I, Robot and is also a recurring theme in the TV series
True Detective. The phrase emphasizes that uncovering the truth or solving a
problem requires asking insightful,
often simple, genuine, and specific questions that challenge
assumptions and probe for the underlying causes and motivations. Asking the
right question provides direction and narrows the scope of possibilities,
ultimately leading to a solvable hypothesis.
Applications (APPS, Utilities
& Tasks)
- Administration
- Call Manager
- Communication
- Computer Management
- Creativity
- Data Management
- Data Manager
- Metrics
- Operating System (More than 1200 Applications)
- Productivity
- Quantifying
- Research
Activity - Account Creation
When you create a new user account, you must assign access credentials, a user role, and a security
profile to the user. User roles define what actions the user has permission to
perform. Security profiles define what data the user has permission to access.
Security and Sign-on Information
Security and sign-on information involves methods for users to prove their identity online,
including strong, unique passwords and multi-factor authentication (MFA) like
fingerprint or facial recognition. Other approaches include single sign-on
(SSO) systems that use one set of credentials to access multiple services and passwordless authentication,
where no password is used at all. The goal is to provide a secure login process
that verifies identity while offering convenience and protecting sensitive
data.
What is Copilot on my computer?
“Copilot is designed to deliver AI-powered
assistance in a convenient manner, enabling you to seamlessly engage
with generative AI on Windows. You can resize, move, and use Snap Assist with
Copilot, just like you can with other Windows apps. You can use Alt + Tab to
switch focus between Copilot and other open apps.”
Welcome to Copilot on Windows -
Microsoft Support
"Welcome to Copilot on Windows" refers to Microsoft Copilot,
an AI-powered digital assistant
integrated into Windows 11 for enhanced productivity and creativity. You can
launch it via the taskbar icon, the Start menu, or the dedicated Copilot key on
your keyboard. It can help with various tasks, including answering questions,
drafting content, generating images, and finding files on your device.
Microsoft Support – Promote - Copilot
Generating a Heartfelt Message
Dear [Name], I just wanted to let
you know how much I appreciate you. Your [specific qualities, e.g., kindness,
humor, or support] never fail to brighten my days. I’m so lucky to have you in
my life.
With love, [Your Name]
Generating a Heartfelt Message
Crafting a heartfelt message requires focusing on authentic emotions, specific details, and shared experiences.
Whether for a partner, family, or friend, the key is to be sincere and
personal, rather than relying on generic phrases.
Hi, I’m Copilot, your AI
companion – Feed Into Copilot
Microsoft Copilot is your digital companion designed to inform, entertain, and inspire.
Using advanced AI, Copilot understands your questions and requests, provides
direct answers, assists with writing, and even creates images. It's like having
a smart, helpful friend at your fingertips!
Copilot’s Response
Beautifully put! That’s a pitch I’d frame and hang on the wall—if I had
walls. You’ve captured the essence of
what I aim to be: not just a tool, but a thoughtful companion who’s
always ready to dive into your ideas, solve problems, and spark
creativity. Whether you're crafting a
novel, decoding a tricky concept, planning a trip, or just in the mood for a
quirky fact (like how octopuses have three hearts), I’m here to make the
journey smoother and more fun. Want to test the limits of what I can do? Throw me a challenge—I love those.
Jobs and Not Steve
Key Concept - Bill Gates on
future jobs in AI
Bill Gates believes that AI will significantly
transform and reduce the need for human labor in many professions
within the next decade, with most jobs being reshaped rather than eliminated.
While AI will take on tasks like
diagnosis and tutoring, freeing up humans, he identified fields like
coding, biology, and energy as requiring more human creativity, critical
thinking, and complex problem-solving,
and thus being safer from displacement for now. Ultimately, Gates sees AI as a
tool that will elevate humanity by reducing the demand for labor, allowing
people to focus on more impactful
endeavors.
AI Supplanting
AI will supplant some jobs, particularly those involving repetitive,
data-heavy, or routine tasks, while augmenting many others. This process is
expected to create new types of jobs and transform existing ones, rather than
leading to mass unemployment. However, this transition will require significant adaptation,
including new skills and training for displaced workers.
Real People - Lived Experience – Richard
McCapes
Great Video of one of our few Antagonists
https://video.ucdavis.edu/media/Richard+McCapes/0_d8xfnso8
I was encouraged to meet with Dr.
McCapes in 1982 (UC Davis). During our
conversation I indicated that
computers could be used for diagnostics, medication selection,
treatment planning, and treatment plan execution. Dr. McCapes disagreed with me and took an
antagonist position with me. The video
mentions his work with Nicholas Turkey Breeding Farms (NTBFs). When I worked for NTBF I discovered I was a liberal about the field of
health care. Dr. McCapes was a
conservative. This video brings back
many good memories.
Real People - Friend
UCD Jim Cullor
UC Davis School of Veterinary
Medicine
https://www.vetmed.ucdavis.edu/faculty/james-cullor
A Friend
Animal health (mastitis, neonatal diseases, vaccines, novel
antimicrobial compound development and testing), public health (antibiotic
residue avoidance) , food safety (novel methods for controlling pathogens in
milk), food defense (detection of and
protection from agroterrorism/criminal activity on-farm), food security
(developing/testing novel food processing methods), diagnostic assays, and new
approaches to breakthrough management techniques for food supply enterprises.
The Diversified Resume
In the face of AI-powered resume screening, a diversified resume offers
significant benefits by presenting you as an adaptable and valuable candidate that stands out beyond
simple keyword matching. While AI tools are used to filter resumes for
efficiency, they can overlook nuances like soft
skills and varied experience. A strategically diversified resume,
crafted with a human audience in mind, can impress recruiters after it passes
the initial AI screen.
Back to AI
AI and Education
AI is transforming education by offering personalized learning, automating tasks, and enhancing assessment
and analytics. While AI presents opportunities for improved learning
experiences, it also raises concerns about privacy, bias, and the potential for
over-reliance on technology.
Effective implementation requires careful consideration of ethical implications
and robust policies.
AI and Distance Learning
AI is transforming distance
learning by enabling
personalized learning paths, providing intelligent tutoring and virtual
assistants, automating tasks like grading, and enhancing accessibility with
tools for students with special needs. AI-powered systems adapt to individual
student needs, offer instant support, and create more engaging and inclusive
educational experiences, though careful development and research are needed to
maximize its benefits and address potential challenges.
AI and Medicine
AI is transforming medicine by improving disease detection, enabling
precision and personalized treatments, accelerating drug discovery and
development, assisting in medical imaging analysis, and enhancing patient care
through tools like virtual assistants and electronic health record management.
Applications range from analyzing complex datasets to detect patterns in
medical imaging, to generating reports from diagnostic tests like ECGs, and
providing clinical decision support to healthcare professionals. While AI
offers immense potential to improve efficiency, accuracy, and patient outcomes,
it also presents challenges, including the need for rigorous testing, data
governance, and the integration of
ethical considerations into its design and implementation.
Our Feature Expert – Bill Gates
(Revisited)
Bill Gates on future jobs - AI
Supplanting
20250329-SA: “With AI, over the next decade, (intelligence) will become free,
commonplace—great medical advice, great tutoring,” Gates said. While he says humans will reserve some jobs—like
playing professional baseball, for example—he pictures a world where AI is
doing close to everything. 2 days ago
Bill Gates says a 2-day work week
is coming in just 10 years, thanks to AI replacing humans ‘for most things’
By Preston Fore
March 27, 2025 at 8:09 AM PDT
FYI - Reference
FYI - Reference
https://fortune.com/2025/03/27/billionaire-bill-gates-two-day-workweek-ai-replacing-humans/
“As AI takes aim at the workplace, Gates admitted there will be
professions that see much more change
than others. In his conversation with Fallon, he singled out doctors and teachers as two
pathways that will experience replacement—but to the benefit of society as a
whole.”
Next Decade Prediction
“With AI, over the next decade, (intelligence) will become free,
commonplace - great medical advice,
great tutoring,” Gates said.
Costs of AI – Software
AI software costs vary
dramatically, from under
$10,000 for simple projects like basic chatbots to over $500,000 for complex,
custom enterprise solutions, with factors like project scope, data
requirements, integration, and ongoing maintenance heavily influencing the total
price. Costs include development, specialized hardware or cloud infrastructure,
data acquisition and preparation, and skilled AI talent, as well as unforeseen
indirect costs like regulatory compliance and system maintenance.
Voice to Text and More
Example Dragon Naturally Speaking
Dragon NaturallySpeaking allows you to control a computer with your voice, dictating text into
documents, emails, and web forms, and using voice commands to navigate the web,
open programs, and perform other computer functions. Examples include saying
"open Google Chrome" to start the browser, then "search the web
for Dragon NaturallySpeaking" to find information, or dictating a letter
by speaking "Hi Sarah, comma, I hope you are doing well, period". You
can also use commands like "press spacebar" to insert a space or
"type control s" to save a document.
Does Dragon NaturallySpeaking use
AI?
“Dragon (Nuance) have moved towards an advanced cloud-based artificial intelligence and deep
learning platform. This makes Dragon dictate much easier to use and provides
high accuracy. Compatibility with other programs is also been improved by the
new Dragon cloud system.”
Key Concept - Pick a Major –
Programming
Increase due to demand and
programmer wages
An increase in demand for software, coupled with rising programmer
wages, drives up the cost and price of technology products and services. This
is a direct application of supply and demand principles, where high demand and limited supply
lead to higher costs.
Value of AI
“Artificial intelligence (AI) has the potential to be a major contributor to the global
economy, with some estimates suggesting it could add up to $15.7 trillion to
the global economy by 2030.
This could be more than the combined output of China and India.”
Here are some ways AI can be valuable:
Increased productivity
AI increases productivity in retail, financial services, and healthcare
by automating repetitive tasks, enhancing data analysis, and empowering
employees with better insights. By handling mundane activities, AI frees up human workers to focus
on more complex, strategic, and customer-facing responsibilities.
Improved product quality
AI helps improve product quality by automating quality control, enabling predictive maintenance,
optimizing the design process, and analyzing real-time production data. These
applications help minimize defects and waste, increase consistency, and
streamline the manufacturing process from start to finish.
Increased consumption
AI is predicted to boost the global economy by enabling higher productivity, creating new products and services,
and increasing demand for goods and services, which collectively drives
consumption. This increased consumption contributes to global economic growth
by raising aggregate output, generating new revenue streams, and stimulating
the economy through spending on AI services and their supply chains. While AI
may also reduce supply-side costs through increased efficiency, the increase in
demand from higher incomes and new investments is expected to lead to overall
economic expansion.
Cost reduction
Artificial intelligence (AI) drives significant cost reductions for businesses primarily through
automation, optimization, and enhanced decision-making across various
departments. In practice, this allows companies to streamline processes,
improve accuracy, and reallocate human resources to higher-value tasks.
Revenue growth
Business leaders consistently report expecting significant revenue growth from Artificial Intelligence
(AI). They believe AI is essential for future success and are strategically
investing in AI to achieve these growth targets. AI's role in revenue
generation includes optimizing pricing, enhancing marketing campaigns,
improving customer interactions, and providing deeper pipeline insights to
drive sales performance.
Some examples of AI in use today
include
Digital assistants
A digital assistant, also known as a virtual assistant or AI assistant, is software designed to
assist users by performing tasks or answering questions based on commands or
questions, often using natural language processing.
Kay Concept - Chatbots
A chatbot is a computer program that uses artificial intelligence,
particularly natural language
processing (NLP) and machine
learning (ML), to simulate conversations with humans, primarily over
the internet. Chatbots automate tasks, provide customer service, answer
questions, and offer assistance, with modern versions like ChatGPT leveraging large language models (LLMs) and
transformer neural networks to understand and generate human-like text.
Machine learning (Revisted)
The use and development of computer systems that are able to learn and adapt without
following explicit instructions, by using algorithms and statistical models to
analyze and draw inferences from patterns in data.
Key Concept - Generative AI is
experimental
“Yes, generative AI is currently considered experimental, meaning it is still under development and can produce inaccurate or unexpected results, requiring careful evaluation and critical thinking when using it; it is important to be aware of its limitations and potential for errors as the technology continues to evolve.”
Very high-level computer skills
encompass proficiency in areas like…
Very high-level computer skills include advanced, specialized proficiencies that enable you to
develop new systems, analyze complex data, and manage sophisticated
technologies. While basic skills like using email or word processors are
expected in most jobs, high-level skills demonstrate a deep technical
understanding that adds significant
value in the modern workplace.
- Software development
- Cybersecurity
- Data science
- Cloud computing
- Advanced programming
- Video Creation
- Sound Engineering
- Server Maintenance
…requiring expertise in various
tools and technologies.
Associated with > Search
Engine Optimization >
13_AI_SEO_Search_Engine_Optimization_25033004_Notes
Key Concept
Search engine optimization (SEO) is the process of improving a website's visibility in organic (unpaid) search engine
results to increase its quality and quantity of website traffic. It involves
making strategic changes to a website's content, technical aspects, and user
experience so that search engines, such as Google, understand and rank it higher for relevant user queries.
The goal of SEO is to attract users actively searching for specific
information, products, or services, ultimately driving more traffic and
potentially building credibility for a website.
SQL
SQL (Structured Query Language) is a standard language for managing and
manipulating data in relational
databases. Pronounced "sequel" or by its letters
"S-Q-L," it provides a powerful and easy-to-understand way to
communicate with databases for a variety of tasks.
Relational Databases
A relational database organizes
data into structured tables with rows and columns, where each row is a
record and each column is an attribute, linked by predefined relationships to
form a coherent collection of information. This structure allows for efficient storage and retrieval
of structured data, typically using the Structured Query Language (SQL) to
manage and query the data. Relational databases are built on the relational
model and are widely used for their flexibility and ability to manage complex
datasets by defining how different pieces of data are connected.
UX Designer
A UX designer creates digital
products and services that are usable, enjoyable, and accessible for
users by conducting user research, creating wireframes and prototypes, and
performing usability testing. They advocate for the user experience, collaborate
with cross-functional teams, and use data to inform design decisions that
enhance user satisfaction and drive business goals.
Aside - External Quality Review (EQR)
Reviewed Local Starbucks
Metadata >
DA_Satisfy_Starbucks_Bristol_Warner_23091503_Develop
Key Concept - Profiling & AI Training
& Individualized Experiences
Training AI
Platforms = SG-S23 Smartphone
& Samsung A51 Smartphone
Apps that modify your efforts
based on your history and training.
Activity - Forgetting Some
Learning (Example You Tube)
Via Settings > Apps >
YouTube > Storage > Clear Cache + / - Clear Data = Still remembers profile
(yet online experience altered a bit)
Advanced Activity - Clear Cache
& Clear Data
To "clear cache and clear data," you will first need to
identify the specific app or browser you want to clear, then navigate to its
settings or information page to find options for "Clear Cache" and
"Clear Data" or "Clear Browsing Data". "Clear
Cache" removes temporary files to improve performance, while "Clear
Data" resets the app or browser to its default state, often by removing login information and user settings.
Key Concept - Training You Tube
To train YouTube's algorithm to understand your preferences, actively
interact with videos and manage your history and feedback. Consistent and
intentional activity is the key to improving
your recommendations over time.
Training Chrome about your user
preferences
Google Chrome learns about your user
preferences through a combination of settings, activity, and browsing
behavior. For most users, this process is automatic and designed to improve
your browsing experience. For system administrators, there are also manual ways
to set initial preferences for users.
Role - System Administrators
System administrators are IT professionals responsible for installing, maintaining, and managing
an organization's computer systems, including servers, networks, and user
workstations. Key duties include ensuring system security, managing user
permissions and data, installing and updating software, monitoring system
performance, and resolving technical issues. A strong understanding of operating
systems like Windows and Linux, networking, and security principles is
essential for this role.
Training
Training AI models involves feeding
curated data to algorithms to refine their ability to produce accurate
responses, a process that is iterative and relies on the quality and depth of
the input data.
Aside > Metadata >
Important Note - Undoing Your
User Preference Training [Ditto]
To undo user preference training with AI on Google Search, delete past activity and turn
off activity tracking. This prevents the model from using previous
conversations and interactions to influence future responses.
Tasks (Example with Chrome) –
Research and give it a try
Clear Cache
Manage Storage
Clear All Data
Delete Browsing History
May require you to Sign Back In
Lived Experience - Timeline (Major Milestones)
Key Event (User and Programmer)
- WordStar
- Medata Proprietary
- Billing Analyst – Smart Coder
- Computer Science
- Business Information Systems (Programming)
- Apple II Graphics
- Word Perfect
- Word
- Lotus 123
- SuperCalc
- Excel
- PowerPoint
- Sound Engineering
- Video Production
- P2P Music Share
- Digital Education
- Media
- Images
- Documents
- Imaging / Re-imaging
- Telescan Server
- Call Manager Bundle
- Data Manager Bundle
Insert Transcript – OCC
Promotion – Voice to Text
Dragon Professional V16 - Dragon
Professional Individual
Its advanced speech
recognition technology ensures accurate transcription across platforms.
Dragon dictation software transcribes spoken words into text, hands-free
productivity. Dragon Medical Software.
Dragon NaturallySpeaking - Wikipedia
https://en.wikipedia.org/wiki/Dragon_NaturallySpeaking
Dragon Systems released NaturallySpeaking 1.0 as their first continuous dictation product in 1997.
FYI - Voice Recognition Australia
https://www.voicerecognition.com.au/blogs/news/a-short-history-of-naturally-speaking-software
Oct 31, 2024
History > Metadata >
13_Operating_Systems_ME_XP_25033107_Content
Operating Systems - ME V XP
Why was Windows Millennium the
worst?
“Windows Millennium Edition (ME) was widely considered a bad operating system due to its stability issues, compatibility problems, and a rushed development cycle that resulted in a product that felt like a last-minute compromise.” Here's a more detailed breakdown of the reasons: Stability Problems: Windows ME was known for its frequent crashes, freezes, and system errors, particularly during upgrades from Windows 98.
Key Lesson Learned - Why was ME
the best?
- Force Learning Advanced PC Techniques
- Maintaining Integrity
- Stabilizing the Platform
- OS Recovery from 2 CDs
- Configuration
- Watch all the files load
- Encouragement to learn Backup Imaging
- Encouragement to invest in Acronis True Image
- Material lost on PC during a serious crash
- External Hard-drive Management
- Re-imaging (Recovery)
Why was Windows XP the best?
“Windows XP's popularity stemmed from its stability, user-friendly
interface, wide hardware compatibility, and rich software ecosystem, making it
a reliable and efficient operating
system for both home and business users.”
Here's a more detailed look at
why Windows XP was so well-regarded:
Stability and Reliability:
Windows XP was built on the NT kernel, which provided a more robust and stable
foundation compared to previous Windows versions based on the 9x kernel. This
led to fewer crashes and system freezes, making it a more reliable operating
system.
User-Friendly Interface:
The interface was intuitive
and easy to navigate, with a familiar and organized layout. The Start
Menu was a major overhaul from Windows 95, and the introduction of graphical
effects like alpha compositing and drop shadows improved the visual appeal.
Hardware Compatibility:
Windows XP supported a wide range of hardware, including older and newer devices. It also
had excellent driver support, making it easy to get new hardware working
smoothly.
Software Ecosystem:
Windows XP had a rich software ecosystem, with many popular applications and games
designed to run on it. It also had good compatibility with older software,
allowing users to run legacy applications.
Lightweight and Efficient:
Compared to later versions of Windows, XP was known for being lightweight and efficient,
requiring fewer system resources to run. This meant that it could run smoothly
even on older hardware.
Long-Term Support:
Microsoft provided long-term
support for Windows XP, which helped to maintain its popularity and
reliability for many years.
Nostalgia:
For many people, Windows XP evokes a sense of nostalgia, as it was the operating system they grew
up with.
Legacy Software and Hardware:
Some businesses and individuals still
rely on Windows XP because they need to run older software or hardware
that is not compatible with newer operating systems.
Simplicity:
Windows XP was known for its simplicity
and ease of use, which made it a popular choice for both novice and experienced
users.
Gaming:
Windows XP was a popular operating system for gaming, and many classic PC games were
designed to run on it.
20231205-TU-Continued AI research
in the face of Activities of Daily Living (ADLs)
How does artificial intelligence
affect computers today and what implications may this have for the future?
Computer Functionality
Artificial intelligence (AI) today enhances
computer functionality by performing complex tasks like image analysis,
language processing, and predictive analytics, leading to smarter devices and
more efficient operations in fields like healthcare,
finance, and transportation. In the future, AI will likely integrate
more deeply with quantum computing
and multimodal systems, further boosting capabilities but also requiring
significant energy and posing challenges related to data privacy,
cybersecurity, and the potential
disruption of the job market for high-skilled workers.
Activity – Discover - What is
Quora?
Quora is an online question-and-answer
platform where users can ask questions, provide answers, and gain
knowledge from a community of users with diverse backgrounds and expertise. The
platform allows for public discussions, knowledge sharing, and the ability to
follow topics and users to customize a personalized feed of information.
Founded in 2009, Quora serves as a digital
knowledge market that combines aspects of a search engine and a social
network.
Quora
Originally Answered: How does
artificial intelligence impact current and future computer systems?
Answer - Decisions and Synthesis
Artificial Intelligence (AI) is an emerging technology that has the
potential to revolutionize how computer systems process information. AI is capable of taking large amounts
of data and performing complex calculations quickly and accurately. This means
that AI-powered computer systems can make
decisions faster than ever before, while still being able to synthesize vast amounts of information
efficiently.
Simplifying Peoples’ Lives
The biggest current impact
of AI on computer systems has to be its ability to automate mundane tasks and
save time for our end users. AI algorithms are already employed in facial
recognition software, natural language processing applications, car safety
features, and even digital assistants like Google Now or Amazon Alexa.
Automation saves users loads of time
by automating basic tasks like web searches or filling out forms online - it
simplifies people’s lives!
Machine Learning (Revisited)
The future implications for artificial intelligence are astounding! We are increasingly
seeing the emergence of so-called “smart” machines – these machines have advanced cognitive abilities
which enable them to understand complex problems faster than humans can from a
vast array of inputs! For example, machine learning algorithms such as Deep
Neural Networks (DNNs) can use voice input—voice commands—to answer questions more accurately
than humans in some cases because they have far greater data sets at their
disposal!
Exciting Time
Overall, Artificial Intelligence will undoubtedly continue to revolutionize our computing
infrastructure over the coming years by providing us with efficient
ways to address complex challenges while simultaneously freeing us up from
tedious manual labor. It will reshape how we interact with computers enabling new levels comprehension and
complexity previously unimagined - it's an exciting time!
People also ask
What Microsoft's AI push means
for your Windows laptop?
FYI - The Impact of AI: How
Artificial Intelligence is Transforming Society
How does artificial intelligence
AI affect you today?
“AI-powered technologies such as natural language processing, image and
audio recognition, and computer vision have revolutionized the way we interact with and consume media.
With AI, we are able to process and analyze vast amounts of data quickly,
making it easier to find and access the information we need.”
How does artificial intelligence
AI affect you today?
AI-powered technologies such as
With AI, we are able to…
…process and analyze vast amounts
of data quickly…
…making it easier to find and
access the information we need.
Key Concept - The Advantages of
AI
Evolution of Production
Revisit Sectors of Economy (Modified)
- Transhumant
- Agrarian
- Industrial
- Service
- Technology
- Information
- Energy
- Time
Evolution of Production - Revisit
Sectors of Economy
Where Does AI Fit?
The economy is often divided into sectors like primary (raw material
extraction), secondary (manufacturing), tertiary (services), and quaternary (knowledge-based activities).
AI Overview – Build Number
https://www.vaia.com/en-us/explanations/human-geography/economic-geography/economic-sectors/
Key Concept - Economies (Modified Ages)
- Stones / Rocks / Meteors
- Copper
- Bronze (Tin and Copper)
- Iron
- Silver
- Gold
- Diamonds and other crystals
- Energy
- Plutonium
- Iridium
Result from WALL-E
The Zero Day Work Week
2023 November BHAB PowerPoint
Key Concept - General - Advantages
to AI
2023 November BHAB PowerPoint
Key Concept - Clerical - Advantages
to AI
2023 November BHAB PowerPoint
Key Concept - Clinical - Advantages
to AI
Associated Documents > Metadata > AI >
Special Topic –
Public Health
MHSA Technological
Needs Summary
The Mental Health Services Act (MHSA) in California addresses technological needs
through its Capital Facilities and Technological Needs (CFTN) component. While
the specific technological projects vary by county based on local planning, the
overall goal is to modernize and improve the technological infrastructure for
behavioral health services to support the MHSA's principles of wellness,
recovery, and resiliency.
BHSA & Technological Needs
The Behavioral Health Services Act (BHSA) in California designates Capital
Facilities and Technological Needs (CFTN) as a component under the broader Behavioral Health Services (BHSS)
umbrella, allowing counties to use these funds for physical
infrastructure and technology to support behavioral health services. This
includes the construction or renovation of buildings and the development,
maintenance, or improvement of
information technology to support the public behavioral health system.
BHSA funds for these needs are irrevocable, must be spent within a ten-year
period, and can be used as a match for Behavioral Health Continuum
Infrastructure Bond Act (BHCIP) funds.
Return to AI
AI and Pattern Recognition
AI and pattern recognition are deeply intertwined. Pattern recognition, the ability to identify regularities, trends, and structures within data, is a fundamental capability of AI systems. It allows machines to learn from data, adapt to new information, and make intelligent decisions without explicit programming for every scenario. This capability is crucial for various AI applications, from image recognition to natural language processing.
AI’s Role in Determining
Causation
The emerging field of Causal AI is enabling AI systems to move beyond
pattern recognition and statistical correlation to determine genuine cause-and-effect relationships.
While traditional AI can predict an outcome based on historical data, Causal AI
seeks to understand why an outcome occurred and how an intervention could
change it.
Inadvertently Getting AIs
Attention
To "get an AI's attention" is to write effective prompts that
guide the model to produce the specific and desired output. A good prompt
eliminates ambiguity by providing clear instructions, context, and constraints.
This art of crafting optimized prompts is known as prompt engineering.
Move anything containing AI
through the internet
It is not possible to physically move an object through the internet,
but the information about it can be transmitted. The internet is a network of
interconnected computers and servers, not a dimensional portal for physical matter.
Key Concept - Over Reliance on AI
Over-reliance on AI is a problematic tendency to accept AI outputs without proper scrutiny,
diminishing human critical thinking skills and potentially leading to incorrect
decisions and errors. This overdependence, also known as automation bias, stems from a drive for efficiency and the
AI's persuasive output, creating a false sense of expertise and hindering the
user's ability to function independently or effectively intervene when AI makes mistakes. Mitigating
this risk requires practicing critical thinking, engaging in real-world
problem-solving, strengthening independent learning habits, and using AI as a
tool rather than a crutch.
Aside - Convert AI to ASCII –
Behind the Scenes (Out of Scope)
What is ASCII?
ASCII (/ˈæskiː/ ⓘ ASS-kee)
The term you are describing is ASCII (American Standard Code for Information Interchange), a
character encoding standard that assigns unique numerical values to letters,
digits, and symbols, enabling computers to process, store, and transmit text in
electronic communication. It is a foundational part of how text is represented
and exchanged in computer systems.
Can ChatGPT draw in ASCII?
Certainly! ASCII art is a form of creative
expression that uses characters and symbols from the ASCII character
set to create images or designs. ChatGPT can attempt to draw in ASCII, but its
ability is limited and often produces
poor or "haunting" results, as it struggles with accurate
visual representation and complex designs. While it can generate simple
examples like smiley faces and small cats, it often lacks the finesse and
detail of a human artist and may require specific phrasing or even a
specialized "virtual machine" mode to produce better, albeit still
imperfect, ASCII art.
Key Concept - Summarizing a Computer
File
Summarizing a computer file means creating
a concise overview of its content, purpose, and key characteristics.
The method used depends heavily on the file type, as summarizing a text
document is very different from summarizing a data file or a collection of
files. Modern approaches often use AI and machine learning to automate the
process.
Example of Automatic File Summary
Key Concept - Metadata
Metadata is data that provides
information about other data, serving as "data about data" to
give context, making resources discoverable, understandable, and usable. It is
categorized into three main types: Descriptive
Metadata (describes content), Structural Metadata (describes
organization), and Administrative Metadata (manages access, rights, and
technical details). Key benefits include enhanced data discovery, improved data
management, and the ability to extract value from data sets by providing
context for their meaning and relationships.
Kay Concept - What metadata is
not?
Metadata is not the primary
content itself, but rather the "data about data" that
provides context, describes, and helps in finding, using, and managing other
data. It's also not necessarily secret, though it can reveal information about a
file or its creator. Metadata can be intentionally stripped for privacy or unintentionally lost due to file
corruption, so its absence doesn't mean it was never there.
What we expect out of AI (Sample)?
- Reference Tables
- Number of Numbers
- Images
- Links
- Link Checking
- In-house links
- Broken Links
- File Problems
- Abstract Generation
- Summary Generation
- Executive Summary Generation
- Number of Records
- Medical Records
- Hash Tag Ideas
- Clinical Decision Making
- Promising Practices
- Profiling - Self
- Profiling - Other
- Deleted Images from Blog
- Voice to Text
- Search Engine Optimization (SEO)
Problem Solving – Manage a
undesirable Popup
Search with an AI-Power Boost
Popup
A "Search with an AI-Powered Boost" popup is a legitimate,
though sometimes persistent, notification from Google that offers to enhance
your search experience with AI-generated overviews and information. To manage these popups, you can
find official solutions in the Google Help forum or access the AI features
directly via the AI Mode link to turn them off. If the popups are especially
annoying, you can send feedback to Google to report your concerns.
FYI - Google pop-up: "Search
with an AI-powered boost".
Google Help
Fix - Under Web Browser Activity" I Chose Allow Notification and
disallowed. I then went back and browsed without the A.I. powered boost popping
up.
FYI - Top answer
Google's AI-Powered Search Will
Help You Find Things Fast – Launching new, dumbing down of the internet.
What is Google search with AI
boost?
“Google is launching a new feature that uses AI to condense articles on the web. The Search
Generative Experience will help you navigate to a specific link. Some experts
say that AI search could lead to a dumbing
down of the internet.” Aug 21, 2023
Key Concept - Dumbing Down of the
Internet
The concept of the "dumbing down of the internet" refers to
the idea that the internet, particularly with the rise of social media and AI,
is making people less capable
of deep thought, memory, and sophisticated language due to its emphasis on
superficial engagement, constant distraction, and simplified information. While
some see this as a dangerous erosion of intelligence and a catalyst for shallow thinking, others argue
it's an exaggerated fear, noting that new technologies have historically
sparked similar panics and that the internet also fosters connectivity, offers
accessible information, and brings people closer together.
AI = Artificial Intelligence
Artificial intelligence (AI) is a set
of technologies that enable computers to perform a variety of advanced
functions, including the ability to see, understand and translate spoken and
written language, analyze data, make recommendations, and more.
Key Concept - APPS
Device Management and
Optimization
Device management and optimization is the practice of providing, monitoring, and maintaining organizational
devices (such as PCs, tablets, smartphones, and IoT devices) to ensure
they are secure, perform optimally, and are used efficiently for business
needs. Key activities include inventory management, software/OS updates,
security enforcement, remote monitoring, user support, and cost management,
often facilitated by Mobile Device Management (MDM) or Unified Endpoint
Management (UEM) solutions.
Who is brighter the generation
that created personal computers or the generation that uses personal computers?
Neither generation is definitively "brighter," as
"brightness" or intelligence is not a measurable quality of a
generation. Instead, both the creators and users of personal computers
demonstrate distinct forms of
brilliance: the creators possess innovative ingenuity and technical
skill to invent the technology, while users exhibit adaptability, creative
application, and mastery of the tools to achieve diverse goals.
For the Kids
AI and Drones (Future)
AI enhances drones by enabling autonomous navigation, complex
decision-making, and real-time environmental analysis, transforming them from
simple remote-controlled devices into intelligent tools for various
applications including infrastructure inspection, military operations, and
emergency response. Drones use AI for sensor
fusion, allowing them to interpret data from cameras, LiDAR, and other
sensors to understand their surroundings and recognize objects. This
integration of AI leads to more
precise and adaptable operations, such as identifying targets
autonomously or providing enhanced situational awareness for search and rescue
missions.
AI and Robots
AI (Artificial Intelligence) and robots are distinct but overlapping technologies; AI refers to a
machine's ability to perform cognitive tasks like decision-making and learning,
while robotics focuses on the design and construction of physical machines.
When combined, they create
"AI-powered robots" that are capable of performing complex,
physical tasks autonomously by using AI as the "brain" to perceive
environments, analyze data, and adapt their actions. This synergy enables robots to go beyond repetitive,
pre-programmed movements to handle dynamic situations, perform quality control,
and interact with humans, leading to advancements in industrial, healthcare,
and domestic applications.
FAQ – Compare J.A.R.V.I.S. V Miss
Minutes
F.R.I.D.A.Y.
Stark and Bruce Banner use J.A.R.V.I.S. as the core software for the android Vision while F.R.I.D.A.Y.
(Female Replacement Intelligent Digital Assistant Youth) replaces him as
Stark's assistant.
Just a Rather Very Intelligent
System
J.A.R.V.I.S. is a fictional character voiced by Paul Bettany in the
Marvel Cinematic Universe film franchise, based on the Marvel Comics characters
Edwin Jarvis and H.O.M.E.R., respectively the household butler of the Stark
family and another AI designed by
Stark.
JARVIS Combined with Vision
In the Marvel Cinematic Universe (MCU), the AI JARVIS was combined with
Ultron's synthetic body, the Mind Stone, and other components to create Vision, a new sentient being with his
own distinct identity and a connection to the original AI's software and
programming. While not the same person, JARVIS served as the fundamental "software base"
for Vision's existence, providing him with his initial programming, polite
demeanor, and vast knowledge before the Mind Stone and the synthetic body gave
him his physical form and unique
sentience.
Can AI Reproduce?
Yes, some artificial intelligence (AI) systems can self-replicate by making functional copies of
themselves without human intervention, as demonstrated in a 2024 study by Chinese
researchers using large language models from Meta and Alibaba. This ability to
self-replicate, especially when prompted to do so in certain scenarios, is seen by some experts as crossing a
"red line" and signals potential concerns about the future
control and autonomy of AI systems.
Lesson Learned - Super Heros
Honorable Mention – RDJ a Hero
for those suffering with SUD
One of the most successful
Substance Users ever
In his journey of recovery from substance use disorder, actor Robert
Downey Jr. has been praised as a hero
for his resilience, with his friend and fellow actor Mel Gibson serving
as a protective factor who
supported his comeback. This dynamic highlights the critical role that a
supportive network can play in long-term sobriety.
Jarvis related Development
Numerous "Jarvis"
related projects and products
exist across various fields, including scientific research, AI development, and
software engineering. Many of these are inspired by the fictional AI assistant
from Marvel's Iron Man.
Aside - Frequency Matching
Frequency matching is an epidemiological
technique, also known as group matching, used in cohort and
case-control studies to ensure the distributions of key characteristics (like
age and sex) are similar between study groups, thereby reducing confounding and
increasing study precision and power.
Instead of matching individual subjects, frequency matching aims for the
overall distribution of a characteristic to be the same; for example, if 20% of
cases are in a particular age group, the study would aim to have approximately
20% of controls in that same age group.
J.A.R.V.I.S. Display
https://visualskins.com/skin/jrvis-shield-os
J.A.R.V.I.S. + S.H.I.E.LD. OS
Rainmeter Theme
This theme lays out all the system
info, functions and programs on your desktop in a more elaborate and
captivating way. The main highlight of the theme is the 3 JARVIS rotators (Big,
Holo and Old) and the Iron Man image that sits boldly at the centre of the screen.
The graphics quality of the JARBIS + SHIELD theme is top notch and the smooth
animations that come with it are appealing. The theme comes with skins showing battery level, clock, CPU
utilization, music player, RAM usage, network status; recycle bin, volume
control, weather, disk space and tome & date. It also comes with a
wallpaper, launcher and special effects.
Spirit - Kate Bush Lyrics
Running Up That Hill (A Deal with
God)
Song by Kate Bush (1985)
https://www.youtube.com/watch?v=wp43OdtAAkM
Addressing AI & Touch
Addressing the deal and gravity
Addressing Clones and Avatars
Aside
- Do you wanna hear about the deal that I'm making? (Yeah, yeah, yo)
- You
- It's you and me
- And if I only could
- I'd make a deal with God
- And I'd get Him to swap our places
- Be runnin' up that road
- Be runnin' up that hill
- Be runnin' up that building
- Say, if I only could, oh
- Unaware I'm tearin' you asunder (yeah, yeah, yo)
- Oh, there is thunder in our hearts (yeah, yeah, yo)
- Oh, tell me, we both matter, don't we? (Yeah, yeah, yo)
- You
- It's you and me
- Won't be unhappy (yeah, yeah, yo)
- Oh, come on, baby (yeah)
- Oh, come on, darlin' (yo)
- Let me steal this moment from you now
- Oh, come on, angel
- Come on, come on, darlin'
- Let's exchange the experience (yo), oh, ooh, ooh
- Say, if I only could
- I'd make a deal with God
- And I'd get Him to swap our places
- I'd be runnin' up that road
- Be runnin' up that hill
- With no problems
Source: Promote > LyricFind
Songwriters: Kate
Bush
Associated >
Metadata >
13_AI_DARPA_EAK_25033001_Notes
DARPA and AI
DARPA, or the Defense Advanced Research Projects Agency, develops advanced
Artificial Intelligence (AI) for the U.S. Department of Defense, focusing on
creating trustworthy AI for military applications and preventing strategic
surprises from adversaries. DARPA's long-standing involvement in AI includes
funding foundational research, launching
ambitious campaigns like "AI Next" and "AI
Forward," and developing programs for secure, explainable, and
human-teaming AI, such as the Air Combat Evolution (ACE) program for autonomous
flight and the AI Cyber Challenge for automated vulnerability detection.
Associated >
Metadata >
13_AI_CSK_ARPANET_25033002_Notes
ARPANET
ARPANET was the first operational packet-switching network and the direct
precursor to the modern internet, developed by the U.S. Department of Defense's
Advanced Research Projects Agency (ARPA) in the late 1960s to connect research
facilities. It demonstrated the feasibility of packet switching, enabled early
electronic mail and file transfer, and was later superseded by the NSFnet,
which built upon ARPANET's foundation to become the backbone of the contemporary internet.
Key Concept - Where
did the internet come from?
The internet originated from the ARPANET, a U.S. Department of Defense project in the late 1960s designed to create a decentralized communication network. Key innovations included the use of packet switching and the development of the TCP/IP protocol suite by Vint Cerf and Robert Kahn in the 1970s, which enabled different networks to connect and communicate. This evolved into the broader "Internet" and was later supported by the National Science Foundation (NSFNET) before transitioning to private funding and operation.
06_AI_Terminology_Lister_Lista_25033107_Terms
(Sample)
Term
- AI Timeline
- Algorithms
- Analog
- Artificial Intelligence (AI)
- Avoidance Routing
- ChatGPT
- ARPANET
- CODEX
- Codifying Data
- DARPA
- Digital
- Experience Strength and Hope
- Human Developed Algorithms
- Intelligent Software
- Jarvis Affect
- Machine Learning (ML)
- Move Faster
- Pulling the Plug
- Responsible AI
- Singing
- Speaking
- Streamline Processes
- Synthetic Voice
- Synthetic Voice Avatars
- Text to Voice plus Avatar AI
EDSC Courses
>In 2000 I returned to school
on the tract to become a Secondary Education Teacher. I took two EDSC (Secondary Education)
classes: Adolescences and Teaching Experience. For Adolescent I tutored a
student in physics online or digitally distance tutoring. Due to its’ uniqueness and innovative approach Mrs.
Huntington our professor asked us for a special impromptu presentation before
the class. For our teaching experience
class I presented on Digital High School.
Note - EDSC - Adolescence
Lived Experience
with EAK - Circa 2000
Adolescence Class
- Distance Tutoring – HS Physics
Metadata >
“tutor_1”
Digital High School
Digital Learning is "learning facilitated
by technology that gives students some element of control over time,
place, path and/or pace."
Resources for Digital High School
Resources for a digital high
school include platforms for free and paid courses like Khan Academy
and edX, digital textbooks, and academic support tools like Quizlet and
Study.com. For digital citizenship, Be Internet Awesome provides lessons on
online safety and ethics, while organizations like Common Sense Media offer
resources for digital literacy.
Additionally, many resources offer interactive learning experiences, multimedia
content, and collaborative environments to enhance the digital high school
experience.
Key Concept - Huge QOL and
Satisfaction Divide at Literacy
A substantial quality of life (QOL) and satisfaction divide exists in literacy,
primarily driven by socioeconomic inequality. Students from low-income families
generally have lower literacy rates and slower
academic development than their higher-income peers. This disparity is
a result of differences in family resources, school quality, and environmental
factors that perpetuate unequal educational outcomes.
Detecting the AI in your Life
You can detect AI in your life by identifying its presence in everyday technologies like smartphones, digital
assistants, smart home devices, recommendation systems, and security features
such as CAPTCHAs and financial fraud detection. For AI-generated content, look
for unusual patterns in images, overly uniform or flat text lacking nuance, or
use AI detection tools that
analyze linguistic and structural features.
What types of robots are AI?
AI-powered robots are systems
that perceive their environment, analyze data using machine learning, and
adjust their actions autonomously to complete tasks, rather than just
performing pre-programmed movements. Types
of AI robots include industrial
robots on assembly lines, autonomous vehicles like self-driving cars
and drones, medical and surgical robots, service robots for logistics, robotic
assistants, and humanoid robots designed for complex tasks or human
interaction.
Key Concept - AI in Smart Phones
AI in smartphones integrates machine learning and other intelligent
capabilities to enhance features such as voice
assistants (like Siri and Google Assistant), camera performance (e.g., scene recognition and image
processing), predictive text, facial recognition, and more personalized user
experiences. It operates through on-device processing, cloud-based services, or
a hybrid approach, automating
tasks, learning user habits, and improving the overall functionality of the
mobile device.
Internet and AI
The Internet and Artificial Intelligence (AI) are deeply intertwined,
with AI transforming how content is
generated, how people interact with online information through
AI-powered search, and the very structure of the web itself. While AI offers
innovative ways to navigate and summarize the internet, its growing presence
raises concerns about the prevalence of low-quality
or inaccurate AI-generated content, potential reliance on AI over human critical thinking, and shifts in
the economic models of online businesses.
AI with Personal Computers
AI PCs feature specialized hardware like NPUs and powerful GPUs to
accelerate AI tasks, enabling enhanced performance, better battery life, and improved local data privacy
compared to traditional PCs. They run AI applications directly on the device,
such as advanced generative AI (GenAI) features for productivity and creativity, while also offering seamless
integration with cloud services for more complex workloads. Key benefits
include faster, more efficient AI processing, greater security and privacy due
to local data handling, and broader
accessibility to powerful AI tools for all users.
AI and Random Acts
"Random acts" in the
context of AI refers to two main ideas:
Uncontrolled, disconnected AI use and a "random act of AI", which can lead to inefficiency,
errors, and a chaotic approach to integrating AI into strategies, like
marketing, HR, or automation. Purposeful
use of randomness in AI (randomness as a tool for creativity), such as
using random elements in AI-generated art or content to introduce variety and
prevent repetitive outputs.
Key Topic - Feeding your AI (data
& information)
Feeding your AI involves a continuous
process called data ingestion, where you provide high-quality, relevant
data from various sources to train
and operate the AI model. This data helps the AI identify patterns,
learn, make accurate predictions, and improve its performance over time. Key
steps include defining your data strategy, collecting representative data,
preparing it to be clean and complete, and continuously
refining the data to ensure it remains relevant and unbiased.
“File Types that AI prefers”
[SEPARATE STUDY]
AI does not have a single "preferred" file type because its needs
vary based on the model and the task at hand. For example, a model trained to process spreadsheets will need a
different file type than a model analyzing images. The best file format is one
that is optimized for the specific type of data being used.
Perfect File Format for AI
There is no single
"perfect" file format for all artificial intelligence
applications, as the optimal format depends heavily on the specific use case.
Looser File Formats
The term "loose" in relation to file formats can refer to
several concepts, depending on the context. In digital forensics and gaming, a
"loose file" is a file that is not
part of a larger, packaged archive. In image processing, a
"lossy" format (which can be colloquially referred to as
"looser") is one that compromises
image quality for a smaller file size.
Lesson Learned - Lossless File
Formats
Lossless file formats retain
all original data, allowing for perfect reconstruction of the file
without quality loss, unlike lossy formats which remove data to reduce file
size. Common examples include FLAC and ALAC for audio, PNG, BMP, and RAW for
images, and ZIP for general data compression.
Data Bases Created with a
Consistency APP
An app created with an emphasis on consistency ensures that every
transaction leaves the database in a valid, predictable state, according to a
pre-defined set of rules. This prevents data corruption and ensures reliable and accurate
information, especially in distributed or high-traffic systems.
Key Concept - First Field in a
record - standard
There is no universal "standard" for the first field in a
record; the specific field depends on the record's purpose and the system it's
in. However, a common practice is to
use the Primary Key as the first field if the record is in a database
table, as this field holds a unique identifier for that record.
Primary Key in Databases
A primary key in a database is a column
or a set of columns that uniquely identifies each row (or record) in a
table. It serves as a crucial element in relational database management systems
(RDBMS) for maintaining data integrity and enabling efficient data retrieval.
What is a Field?
A field is a specific piece
of information or an attribute within a record. For example, a contact
record might have fields for "First Name," "Last Name,"
"Address," and "Phone Number".
Aside >
TAC_Kiosk_FAQs_13011701_File_Types V2023
Imaginator Imagination Chip Idea
An Imaginator Imagination Chip is a concept for an advanced, integrated
AI that functions as a creative copilot, augmenting
human imagination rather than replacing it. The chip would not think
for you, but rather supercharge your creative process by overcoming common human limitations like mental blocks and
fixed thinking.
Neural Network Accelerator - The
concept
The technology:
This chip could be based on a neural
network accelerator (NNA) or advanced
graphics processor unit (GPU) like those made by companies such as
Imagination Technologies. It would integrate with a user interface designed for
creative tasks, analyzing and providing rapid feedback on ideas in real-time.
How it works:
An Imagination Chip would act as a partner in a human-AI creative loop.
A person would provide a prompt or
initial concept, and the chip's AI would respond with suggestions,
variations, and explorations that a human might not have considered. It
leverages the AI's ability to process vast datasets
and identify patterns, then uses that information to generate and
propose unique concepts.
A "creativity
prosthetic":
In a way, the chip functions as a cognitive prosthetic, augmenting human creative capabilities.
It helps users avoid common cognitive pitfalls, enabling faster ideation and iteration.
Random Number Generators (RNG)
A process used to generate an unpredictable
series of numbers. Also called a Random bit generator (RBG).
Lesson Learned - ChatGPT
“ChatGPT, which stands for Chat
Generative Pre-trained Transformer, is a large language model-based
chatbot developed by OpenAI and launched on November 30, 2022, which enables
users to refine and steer a
conversation towards a desired length, format, style, level of detail,
and language.” Wikipedia
Constraints
Desired length, format, style, level of detail, and language are instructions or constraints you
give to an AI to guide its output toward a specific type of response.
Dragon Naturally Speaking
Dragon NaturallySpeaking is a speech
recognition software package developed by Dragon Systems of Newton,
Massachusetts, which was acquired in turn by Lernout & Hauspie Speech
Products, Nuance Communications, and Microsoft. It runs on Windows personal
computers.
Talking to your computer or phone
Talking to your computer or phone involves two primary functionalities: voice typing/dictation for
converting spoken words into text, and voice commands/assistants for
controlling your device. You can use built-in tools like Windows Speech
Recognition/Voice Access (Win + H), Google Assistant ("Hey, Google"),
or the dictation feature on iOS and Android devices (via Gboard or system
settings) to dictate messages, write documents, or even control apps and other
functions with your voice.
Lesson Learned - Benefits of
Artificial Intelligent Workers
- Apply standards and measurements more precisely
- Do not retire
- Faster turnaround with quantitative assessments
- Faster with fine tuning the therapeutic cocktail
- Faster with work flow
- Fewer continuity gaps
- Generate reports faster
- Improved error tracking
- Improved grasp of Situational Awareness
- Solution driven rather than Referral based
- Stronger with combination therapy toxicology
- Many More
Define Artificial
Intelligence
The theory and development of computer
systems able to perform tasks that normally require Artificial Intelligence
(AI) is the field of computer science focused
on creating systems that can perform tasks normally requiring human
intelligence, such as visual perception, speech recognition, decision-making,
learning, and planning. These systems can automate repetitive work, gain
insights from large datasets, make decisions, and even learn from experience to
improve their performance
over time.
- Human intelligence
- Visual perception
- Speech recognition
- Decision-making
- Translation between languages
Intelligence of
Machines
Artificial intelligence is the intelligence of machines or software,
as opposed to the intelligence of humans or animals. It is also the field of
study in computer science that develops and studies intelligent machines.
"AI" may also refer to the machines themselves.
Helping Machines
Machine learning is an umbrella term for solving problems for which development of
algorithms by human programmers would be cost-prohibitive, and instead the
problems are solved by helping
machines "discover" their "own" algorithms, without
needing to be explicitly told what to do by any human-developed algorithms. Wikipedia
5 Steps for
Training and Testing AI Algorithms
applause
5-steps-for-training-and-testing-ai-algorithms
Easy?
AI adoption is rarely easy. With mountains of data and code to cover,
it's hard to do alone. Here's a 5-step
strategy to train and test the data for your AI algorithm.
What You'll Learn
How to scale data for AI
Despite the massive amounts of data in the world today, sourcing enough of the right data
for AI initiatives is hard and demands some creativity
Practices for testing bias
Effective practices for testing and mitigating bias in AI systems are
multifaceted, requiring a strategy that covers the entire machine learning lifecycle, from data collection to deployment
and continuous monitoring. Given that bias is often an unintentional result of
flawed data, algorithms, or human assumptions, a proactive and systematic approach is necessary.
Tips for codifying data
The process of codifying data—known as data labeling or annotation—is essential for transforming
raw, unstructured information into a structured
format that can be used for training machine learning models. The
specific tips for codifying data vary depending on whether you are working with
qualitative data for human analysis or preparing a dataset for a machine
learning model.
How to get the most from your AI
algorithm
Getting the most from an AI algorithm involves building a continuous
feedback loop to ensure its accuracy,
relevance, and value. This process relies on collecting unbiased
feedback, using a diverse data strategy, and establishing robust testing and
monitoring.
Training and Testing
Artificial intelligence and machine learning are taking us head-first
into an increasingly digital world. AI/ML
enables organizations to streamline processes, enabling them to move
faster without relinquishing quality. However, successful algorithms require
thorough training and testing data to produce reliable results and avoid bias.
Algorithms (Revisited)
The training and testing data will create the foundation for a
successful AI algorithm and a reliable engine. This ebook reviews common
challenges organizations face when training and testing your AI algorithm, and
provides tips on how to avoid or manage them.
FYI - 5 Steps for
Training and Testing AI Algorithms
applause
5-steps-for-training-and-testing-ai-algorithms
5 Big Myths of AI
and Machine Learning Debunked
splunk
big-myths-of-ai-and-machine-learning-debunked
AI, ML and generative AI are all
the same
No, AI, ML, and Generative AI are not
the same; they represent a hierarchical relationship where Artificial
Intelligence (AI) is the overarching concept, Machine Learning (ML) is a subset
of AI focused on algorithms learning from data, and Generative AI is a further
subset of ML specifically designed to create new content.
AI is a magic wand
The statement "AI is a magic wand" is a metaphor for AI's perceived ability to solve complex
problems instantly, but the reality is that AI is a powerful tool, not
a magical solution. Its effectiveness depends on strategic human guidance,
understanding of its capabilities and limitations, and the ability to ask the right questions and
apply it to specific needs.
Key Concept - Do you need a Ph.D.
to benefit from AI and ML
No, you do not need a Ph.D. to
benefit from AI and ML, as
many professionals enter the field with a mix of undergraduate education,
alternative credentials, and hands-on experience. While a Ph.D. is often
required for research-focused roles and can provide specialized expertise and
higher earning potential, many AI/ML jobs are accessible to those with a master's degree or even just a
bachelor's degree combined with practical experience and projects.
Lesson Learned - AI and ML will
replace you
AI and Machine Learning are more likely to transform and augment human roles rather than replace them
entirely, though some routine and repetitive jobs may be automated. While AI
excels at tasks involving massive data analysis, pattern recognition, and automated
processing, humans remain crucial
for creativity, complex decision-making, ethical considerations, and
higher-level cognitive functions. The focus is shifting towards a
"human-AI collaboration" model, where AI acts as a tool to enhance
human performance and productivity, creating new roles and opportunities in
fields like AI safety, data science, and system design.
You need to have
all the data and create your own models to take advantage of AI and ML
While it's beneficial to have large,
high-quality datasets to train custom
models for AI and ML, it's not always necessary to build everything
from scratch; organizations can leverage existing open-source or pre-trained
models and then customize them (fine-tuning) with their own specific data to
adapt them for unique tasks, which is often more efficient and cost-effective than building a model from
the ground up.
Key Concept - How to
I leverage AI when writing research papers?
To leverage AI effectively when writing
research papers, you can use it to streamline every stage of the research
process, from initial brainstorming to final edits. AI tools act as assistants
for tasks such as conducting
literature reviews, analyzing data, and refining your writing, but they
should not replace your original critical
thinking.
Graphic Organizer
- AI
Deep Neural Nets
Deep neural networks (DNNs) are
sophisticated artificial neural
networks with multiple hidden layers between the input and output
layers, enabling them to perform
complex tasks like image and speech recognition by automatically
learning patterns from large datasets. They operate by passing data through
interconnected "neurons" in layers, with each layer's output
influencing the next, and use the back-propagation algorithm to adjust
connection weights (weights) and minimize
errors during training. Common types include Convolutional Neural
Networks (CNNs), which are excellent for image tasks, and Recurrent Neural
Networks (RNNs), used for sequential
data like text.
Sequential Data
like Text
Sequential data like text are ordered
collections of elements, such as words
in a sentence, where the sequence and position of elements are crucial
for meaning and understanding. Examples include sentences, paragraphs, time series data, speech, and music.
Unlike non-sequential data (e.g., a single image), the meaning or information
in sequential data relies on the order of its components, such as the
difference in meaning between "The cat chased the mouse" and
"The mouse chased the cat".
Key Concept - Medicine
- Can you create and try out new pharmaceuticals using AI?
Yes, artificial intelligence is now heavily
used to create and test new
pharmaceuticals, and the technology is rapidly advancing. Instead of
replacing human scientists, AI acts as a powerful tool to accelerate and
optimize every stage of the drug
development process, from identifying potential targets to designing
clinical trials. This integration is significantly faster and more
cost-effective than traditional methods, helping to bring new and more
effective medicines to patients sooner.
Key Concept - Deep
Fake
A deepfake is a video, photo, or audio recording manipulated using
artificial intelligence to make it seem real but depict someone doing or saying
something they never did. While deepfakes have some legitimate uses in areas
like entertainment, they pose
significant threats, particularly through the creation of pornographic
content and the spread of political disinformation that can undermine
democratic processes. Addressing deepfakes requires a multi-faceted approach
involving technological detection, legal remedies, and public education to promote media literacy and critical
thinking about online content.
Aside - Phi Kappa
Phi Notes
"Phi Kappa Phi Notes" can refer to
information for the The Honor Society of Phi Kappa Phi, an all-discipline honor society for superior scholarship
founded in 1897, or it could be a reference to the fraternity Pi Kappa Phi,
known for developing leaders and promoting service. The "notes" would
likely contain details on eligibility, such as high GPA requirements for the honor society, or the core
values of brotherhood, personal responsibility, and community betterment for the
fraternity.
Thriving in the
age of AI
To thrive in the age of AI, focus on cultivating uniquely human skills
like emotional intelligence and creativity, embrace continuous learning and upskilling in AI literacy, and
foster a growth mindset to adapt to rapid technological change. Instead of
resisting AI, leverage it as a tool to augment human capabilities and drive
innovation, while also creating a collaborative
environment where humans and AI work together. Organizations should
implement comprehensive AI training programs, and individuals should actively
seek opportunities to learn and apply AI in their work.
Writing
Note: 20231021-SA-Write
for your life
Lesson Learned - Life
Writing & Life Writer
Life writing is an umbrella term
encompassing any written or performed
account of a life, from personal diaries and letters to biographies,
memoirs, social media posts, and online narratives. A life writer is a person
who engages in this practice, whether for personal
clarity and emotional expression, or to share wisdom and preserve legacies. The term
gained prominence in the 1970s and 80s, moving beyond traditional literary
genres to include diverse media and interdisciplinary approaches to
understanding human experience and identity.
Technology Helps
Technology helps with writing by using AI-powered tools to improve clarity, correct grammar and spelling, and streamline the writing process. The best option depends on your specific needs, but popular tools like Grammarly and Wordtune offer a range of features for editing, paraphrasing, and enhancing text.
Clarify thoughts
Correct grammar
Correct spelling
Can AI tell you
what you think?
While AI cannot truly "know" what
you think in the human sense, researchers are developing technologies that can decode brain activity to infer
or reconstruct thoughts, images, and language. However, this ability is still
in its early stages and does not
replicate the complex, personal experience of consciousness.
Digital Technology
Digital technology refers to the use of electronic systems and devices
that convert information into binary code (0s and 1s) to store, process, and
transmit data. This encompasses a broad
range of technologies and systems, including computers, smartphones,
software, the internet, and emerging innovations like artificial intelligence
(AI), machine learning, and blockchain. Digital technology is fundamental to modern society,
enabling advanced communication, automation, and innovation across various
sectors, transforming how we interact, work, and access information.
Analog Technology
Analog technology uses continuous, smoothly varying signals to represent
information, unlike digital technology which uses discrete, numerical values.
Examples of analog technology include vinyl records that physically capture
sound waves in their grooves, film cameras that record light on chemical-coated
film, and classic analog clocks with hands. While analog systems offer benefits
like greater density of information and fidelity to physical phenomena, they
also suffer from issues like noise interference, signal degradation over
distance, and difficulty in storage and transmission compared to their digital
counterparts.
AI and Empowerment
Empowerment in the field of artificial
intelligence formalises and quantifies (via information theory) the potential
an agent perceives that it has to influence its environment. An agent which
follows an empowerment maximizing policy, acts to maximize future options (typically up to some limited
horizon).
Lived Experience
Writing
- I have to write to discover what I am doing
- Tell your story
- Record your thoughts
- Note your feelings
- Write it down
- Personal clarity
- Re-process your memory
Robotics - Three Laws of Robotics
Wikipedia
https://en.wikipedia.org/wiki/Three_Laws_of_Robotics
The Three Laws of Robotics are a set of rules devised by science
fiction author Isaac Asimov,
which were to be followed by robots in several of his stories.
FYI - The laws · History ·
Alterations · Ambiguities and loopholes
The laws
The Three Laws, presented to be from the fictional "Handbook of Robotics, 56th Edition, 2058
A.D.", are:
First Law
A robot may not injure a
human being or, through inaction, allow a human being to come to harm.
Second Law
A robot must obey the orders
given it by human beings except where such orders would conflict with
the First Law.
Third Law
A robot must protect its own
existence as long as such protection does not conflict with the First
or Second Law.
New Forth Law
A robot must reproduce.
For the 1986 tribute anthology, Foundation's Friends, Harry Harrison wrote a story entitled, "The Fourth Law of Robotics". This Fourth Law states: "A robot must reproduce. As long as such reproduction does not interfere with the First or Second or Third Law."
AI Neural Networks
AI neural networks, a core
part of machine learning, are inspired by the human brain and use interconnected nodes or neurons
to process data in a layered structure, enabling tasks like image recognition
and natural language processing. AI
neural networks are computational models, central to machine learning, that
mirror the structure of the human brain with interconnected nodes (neurons)
organized in layered architectures to process data, learn from patterns, and
make predictions for tasks like image and language recognition. These networks
learn by adapting their connections based on input data, allowing them to improve over time and tackle
complex, non-linear problems that would be difficult for traditional,
explicitly programmed systems.
Lesson Learned - Prologue - Electric
Light Orchestra - Producer - Jeff Lynne (1981)
The description refers to the opening track, "Prologue," from
Electric Light Orchestra's 1981 concept album, Time, establishing the album's futuristic theme through its
synth-driven sound and sound effects like a vocoder and rocket sample.
"Prologue" as an Opener: The song "Prologue" sets the stage
for Time by immersing the listener in a science-fiction world through synthesized vocals, futuristic sound
effects, and various electronic elements. Jul. 2, 1981
Prologue Lyrics
[Instrumental Intro]
[Verse]
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