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▼⸿ooper Applied Technology.com (TM SM R) Our problem solving Pseudocode instructions are for Algorithm programmers Algorithms the fundamental foundation of Artificial
Intelligence (AI) & sub-sets Email: RichardCooper@frontier.com V: 5852561449 |
Cooper Applied Technology problem solving pseudocode is a blueprint for the
planning, designing & writing code for programming
algorithms.
Cooper pseudocodes
outline the understanding of the logic & detailed step-by-step
set of instructions for
the algorithms required binary & source language code.
Algorithms are the
fundamental foundation of Artificial Intelligence (AI) & sub-sets.
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Artificial
intelligence (AI) is not human intelligence but machine intelligence
e.g., deep
learning, neural networks, speech
recognition, computer vision,
military applications & Robotics
Artificial Intelligence (AI) Algorithms
determine how social media platforms
content is filtered, ranked, selected &
recommended to users.
In various ways, AI algorithms influence our
choices & what we see &
hear on social media.
Artificial Intelligence (AI) algorithms enable
intelligent machines to be
helpful personal assistants by learning, understanding, decision making,
cognitive functioning to eliminate mundane human tasks.
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Artificial general Intelligence (AGI) aims to
achieve a comprehensive
human intelligence self-learning capability of
performing a wide range of tasks
of reasoning & understanding complex
concepts incorporated into Robotics.
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Generative
artificial intelligence (GenAI) can generate unique text &
Images, videos, audios, stories, music, animation, 3D models
in response to user’s questions.
(GenAI) programmers train (GenAI} using large
data sets, which
determines the best possible answers to
questions. (GenAI) is
a
form of predictive artificial intelligence.
Generative
AI (GenAI) is used by politicians in democracies,
leaders in
autocracies & dictators around the world
to create misinformation &
propaganda to manipulate decision making &
opinion in their favor.
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Generative Adversarial Network (GAN) is a
machine learning architecture
where two neural
networks, the "generator" & the "discriminator,"
compete against each other to generate real realistic
content.
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Cooper Applied
Technology (USA,
family business) has transformed from an outdated inefficient
analog company into a digital company creating & designing problem-solving
pseudocode instructions for algorithm programmers
for Artificial Intelligence (AI) &
sub-sets. I
acquired my practical business knowledge & experience as a Director,
CEO, CTO, VP, employee of various companies before joining Cooper Applied
Technology. I
earned my BS degrees in Accounting & Electrical Engineering at RIT, MBA
degrees in Finance & Economics at Syracuse University. Richard
Cooper CEO CTO Cooper Applied Technology (SM
TM R) ------------------------------- Email: RichardCooper@frontier.com v: 5852561449 https://cooperappliedtechnology.com
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