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▼⸿ooper Applied Technology.com
(TM SM R) Applied Technology---think before
you CLICK Pseudocode programming
Instructions & Rules written for Algorithms the basis of Artificial Intelligence (AI) & sub-sets
Machine Learning (ML), AI powered robotics, Generative Artificial
Intelligence (GenAI), Generative Adversarial Networks (GANs), Convolutional Neural
Networks (CNN), Natural
Language Processing (NLP), computer systems, electronic devices & Cybersecurity— detecting, preventing
& mitigating cyberthreats on internet-connected systems,
networks, programs, electronic devices & digital information Detection &
Exposure of DeepFakes & Face Swapping in Social
Media Email: RichardCooper@frontier.com or
V: 5852561449 *no cookies
here* |
Pseudocode is a way to describe
the logic and structure of algorithms in a human-readable format that's not
tied to a specific programming language. Pseudocode is a step-by-step
set of instructions, rules & digital Information for
programming Algorithms.
Algorithm programmers translate the pseudocode into
the required programming language
& coding logic for the algorithm’s
specific application. Tests
the algorithm applications
to verify they execute correctly & debug & fix any
issues before the release
of the artificial intelligence (AI)
algorithms.
Artificial Intelligence (AI) & Sub-Sets
1. Artificial
Intelligence (AI)
algorithm computational power & sub-sets can instruct
computer systems to learn to operate on their
own & make decisions by
mimicking
the cognitive functions associated with human intelligence to
see, understand & respond to spoken &
written language. To analyze digital
information & make recommendations that normally require human intelligence
such as visual perception, speech recognition, video & graphics.
2. Machine learning (ML) is a sub-set
of AI written by engineers for computer systems
& devices to use AI algorithms learning to predict
& generate human language a
key component of natural language processing
(NLP). Enabling computers to use
statistical models & analyze, draw
inferences, develop patterns from data
bases to learn & adapt on their own NLP instructions.
3. Generative AI (GenAI) is a sub-set of AI) capable of generating text, images, video,
sounds, animation, 3D models, music, Q&A summarizations & other types of
informational data using generative AI.
GenAI technologies can mimic human intelligence in nontraditional
computing
tasks like
image recognition, manipulate &
comprehend human language,
respond to conversations & complex subject matter.
4.
Cybersecurity & Generative AI (GenAI)
Algorithms together are essential in detecting,
preventing & mitigating cyberthreats on internet-connected
systems, networks,
programs,
electronic devices & digital information to
establish a baseline
to alert & flag deviations,
e.g.
1. detecting &
classifying attacks
2.
removing noisy & irrelevant data
3.
detecting malware
4.
facial recognition verification
5.
predicting network security
6.
fraud detection to expose social media if it
has been computer-generated & fake
7.
network & systems intrusion detection
8.
detecting & classifying phishing attacks
9. classifying,
detecting & predicting blacklisted IP addresses &
port addresses,
SQL Injection (executing
malicious SQL
statements into data base servers),
denial-of-service attacks
& insider threats.
DeepFakes media is computer-generated for
the purpose of fooling
the media
viewer & internet-connected systems
to create discord, impersonate leaders,
enable fake verification access to computer
systems & sensitive information.
Creating fake media (propaganda) manually has been done over
many
years & now by using artificial intelligence (AI)
algorithms.
Generative Adversarial Networks (GANs)
are neural learning networks
designed to imitate
the structure & function of the human brain.
GANs
use two trained neural networks to
generate fake media
from given databases. One neural network is generating
fake
media & the other neural network for
verifying the
generated fake media looks, reads & sounds like real.
How Can you tell if It’s Real
or Fake?
Think before you CLICK!
We use the following detection & exposure methods:
e.g.
Facial and body
movement
Facial Biometrics
Lip-sync detection
Inconsistent -- or
lack of -- eye blinking
Irregular
reflections or shadowing
Pupil dilation
Artificial audio
noise
Audio-Visual Synchronization
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Cooper Applied
Technology (USA,
family business) has transformed from an outdated inefficient analog company into a consultant
& development to deployment IT company for pseudocode programming
instructions & rules for Cybersecurity---Generative
AI (GenAI)
Algorithms & Detection & Exposure of DeepFakes & Face Swapping in Social Media. Think
before you CLICK I
acquired my practical & business technology knowledge & experience as a Director, CEO, CTO, VP,
employee of various companies before joining Cooper Applied Technology (SM
TM R). I
earned BS degrees in Accounting & Electrical Engineering at RIT,
MBA degrees in Finance & Economics at Syracuse University. Richard
Cooper CEO CTO ------------------------------- Email:
RichardCooper@frontier.com https://cooperappliedtechnology.com
*no cookies here* Cooper
Applied Technology
67 willowcrest dr
ste 1441 Rochester, NY 14618 USA V:
585-256-1449 All incoming & outgoing emails are
scanned for security & not a source of ROBO calls or SPAM. Email addresses are
not published! NO
PERSONAL OR BUSINESS INFORMATION IS SOLD! |