The 117th Green Drinks Monthly Sustainability forum
An exploration of AI technology (Giga-byte world), through the lens of philosophy (Gita), and the abstract world of physical environment we live in (Green).
There is a rough agreement among many AI experts that the technological singularity ( the moment when machine intelligence supersedes human intelligence, and life as we know it changes un recognisably )- will take place soon after 2030.
A fun think piece on possible futures for AI and its potential range of relationships with humanity - written in response to a request by editors at Critical Muslim to provide an AI-focussed version of their regular feature, "The List." Thanks to Zia Sardar.
The 117th Green Drinks Monthly Sustainability forum
An exploration of AI technology (Giga-byte world), through the lens of philosophy (Gita), and the abstract world of physical environment we live in (Green).
There is a rough agreement among many AI experts that the technological singularity ( the moment when machine intelligence supersedes human intelligence, and life as we know it changes un recognisably )- will take place soon after 2030.
A fun think piece on possible futures for AI and its potential range of relationships with humanity - written in response to a request by editors at Critical Muslim to provide an AI-focussed version of their regular feature, "The List." Thanks to Zia Sardar.
Dan Faggella - TEDx Slides 2015 - Artificial intelligence and ConsciousnessDaniel Faggella
URL of the original TEDx Talk: https://www.youtube.com/watch?v=PjiZbMhqqTM
Notes from my 2015 TEDx presentation, titled: "We Should Wake Up Before The Machines Do," on the topic of artificial intelligence and consciousness.
Speaker: Daniel Faggella
Location: Southern New Hampshire University
by Samantha Adams, Met Office.
Originally purely academic research fields, Machine Learning and AI are now definitely mainstream and frequently mentioned in the Tech media (and regular media too).
We’ve also got the explosion of Data Science which encompasses these fields and more. There’s a lot of interesting things going on and a lot of positive as well as negative hype. The terms ML and AI are often used interchangeably and techniques are also often described as being inspired by the brain.
In this talk I will explore the history and evolution of these fields, current progress and the challenges in making artificial brains
From the FreshTech 2017 conference by TechExeter
www.techexeter.uk
Artificial consciousness (AC) refers to the ability of an artificial system to possess subjective experiences and self-awareness similar to that of a human being. The presentation of AC is a complex and ongoing topic of research in the field of artificial intelligence and cognitive science.
One of the primary challenges in presenting AC is the lack of a clear definition of what consciousness entails. However, most researchers agree that consciousness involves a subjective awareness of one's own existence and surroundings, as well as the ability to experience emotions, make decisions, and engage in intentional actions.
There are several approaches to presenting AC, each with its own set of advantages and limitations. Some of these approaches are:
Cognitive Architectures:
Cognitive architectures are models of the human mind that attempt to capture the various cognitive processes involved in consciousness. These architectures use a set of rules and algorithms to simulate the human thought process, allowing the system to exhibit intelligent behavior and decision-making capabilities. One of the most well-known cognitive architectures is Soar, which has been used to simulate human-like reasoning in various domains, such as problem-solving and language understanding.
Neural Networks:
Neural networks are a set of algorithms that attempt to simulate the behavior of the human brain. These networks are composed of interconnected nodes that process and transmit information in a manner similar to biological neurons. Neural networks have been used to model various aspects of consciousness, such as perception, learning, and decision-making. However, they have limited explanatory power when it comes to the subjective experience of consciousness.
Robotics:
Robotics is the field of engineering that deals with the design, construction, and operation of robots. Robotic systems can be used to study and simulate human-like behavior and consciousness. For example, humanoid robots can be programmed to recognize and respond to human emotions, learn from experience, and interact with the environment in a manner similar to human beings.
Virtual Reality:
Virtual reality (VR) is a computer-generated simulation of a three-dimensional environment. VR can be used to create immersive experiences that mimic real-world scenarios and interactions. VR systems can be used to study the effects of sensory input and feedback on consciousness, as well as to develop AC systems that can interact with humans in a realistic manner.
In conclusion, presenting AC is a complex and ongoing research challenge that involves a combination of cognitive, computational, and engineering approaches. The development of AC systems will require a deep understanding of the nature of consciousness, as well as the ability to model and simulate the cognitive processes involved in subjective experience and self-awareness. While significant progress has been made in this field, there is still much work to do.
Dan Faggella - TEDx Slides 2015 - Artificial intelligence and ConsciousnessDaniel Faggella
URL of the original TEDx Talk: https://www.youtube.com/watch?v=PjiZbMhqqTM
Notes from my 2015 TEDx presentation, titled: "We Should Wake Up Before The Machines Do," on the topic of artificial intelligence and consciousness.
Speaker: Daniel Faggella
Location: Southern New Hampshire University
by Samantha Adams, Met Office.
Originally purely academic research fields, Machine Learning and AI are now definitely mainstream and frequently mentioned in the Tech media (and regular media too).
We’ve also got the explosion of Data Science which encompasses these fields and more. There’s a lot of interesting things going on and a lot of positive as well as negative hype. The terms ML and AI are often used interchangeably and techniques are also often described as being inspired by the brain.
In this talk I will explore the history and evolution of these fields, current progress and the challenges in making artificial brains
From the FreshTech 2017 conference by TechExeter
www.techexeter.uk
Artificial consciousness (AC) refers to the ability of an artificial system to possess subjective experiences and self-awareness similar to that of a human being. The presentation of AC is a complex and ongoing topic of research in the field of artificial intelligence and cognitive science.
One of the primary challenges in presenting AC is the lack of a clear definition of what consciousness entails. However, most researchers agree that consciousness involves a subjective awareness of one's own existence and surroundings, as well as the ability to experience emotions, make decisions, and engage in intentional actions.
There are several approaches to presenting AC, each with its own set of advantages and limitations. Some of these approaches are:
Cognitive Architectures:
Cognitive architectures are models of the human mind that attempt to capture the various cognitive processes involved in consciousness. These architectures use a set of rules and algorithms to simulate the human thought process, allowing the system to exhibit intelligent behavior and decision-making capabilities. One of the most well-known cognitive architectures is Soar, which has been used to simulate human-like reasoning in various domains, such as problem-solving and language understanding.
Neural Networks:
Neural networks are a set of algorithms that attempt to simulate the behavior of the human brain. These networks are composed of interconnected nodes that process and transmit information in a manner similar to biological neurons. Neural networks have been used to model various aspects of consciousness, such as perception, learning, and decision-making. However, they have limited explanatory power when it comes to the subjective experience of consciousness.
Robotics:
Robotics is the field of engineering that deals with the design, construction, and operation of robots. Robotic systems can be used to study and simulate human-like behavior and consciousness. For example, humanoid robots can be programmed to recognize and respond to human emotions, learn from experience, and interact with the environment in a manner similar to human beings.
Virtual Reality:
Virtual reality (VR) is a computer-generated simulation of a three-dimensional environment. VR can be used to create immersive experiences that mimic real-world scenarios and interactions. VR systems can be used to study the effects of sensory input and feedback on consciousness, as well as to develop AC systems that can interact with humans in a realistic manner.
In conclusion, presenting AC is a complex and ongoing research challenge that involves a combination of cognitive, computational, and engineering approaches. The development of AC systems will require a deep understanding of the nature of consciousness, as well as the ability to model and simulate the cognitive processes involved in subjective experience and self-awareness. While significant progress has been made in this field, there is still much work to do.
Talk given at the Neurons London Meetup in April 2018. I discuss where AI is now, what we know from biology and whether it is possible that abstract algorithms could lead to intelligence.
From technology to software, artificial intelligence to virtual reality, Future in Quantum covers it all. Whether you're a tech expert or just starting out, our blog is designed to cater to your needs and interests. We offer a wide range of articles and resources, including product reviews, tutorials, and expert opinions, to help you stay on top of the latest technology developments.
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Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
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Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
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GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
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Artificial Intelligence & Creative Concepts to Music
1. Artificial Intelligence (AI)
& Synchronization between humans with
creativity and deep learning!"
Is A Futuristic
Fall Forward
2. "With analytics, machine learning, and AI,
Cisco Services helps predict and “Solve”
problems before they happen."
AI is the Art Form of Technology!
(or)
Is Technology the Art Form of AI?
“Technology” is a singing-syncing
Brain.
3. Creativity “Is”
Implemented in
AI
• Is creativity strictly a human
capability?
• Is it possible for AI to
actually be creative?
• The people who believe AI
can be creative.
• The belief lies in it’s
achievements, unthinkable
in the past, have increased
by leaps and bounds.
Kaushik Pal
4. The Prevailing
Presence of
Computing!
• Cognitive
computing is a
subcategory of AI.
• It attempts to
mimic the human
brain." Repetition
is the answer!
Kaushik Pal
5. The
Fascination
with AI
• Perhaps it’s the ability
of the performance of
repetition to learn and feel
new concepts?
• The mind and body can climb
mountains with repetition!
Why are we
fascinated
with AI?
6. A Brief History of AI
• Roots date back to the 1950s.
• In 2010 the concept of Narrow AI
developed, and It focused on a single
subset of cognitive abilities.
• Narrow AI focused on completing
specific tasks like image classification
and facial recognition.
• Narrow AI lacks the ability to evolve
processes using experience and other
data input the way a human brain does.
• Machine learning (ML) now uses
algorithms to parse data to make
predictions about its environment.
7. AI Today!
• Programmers no longer need to
hand code each and every action.
• The system itself can determine
the best course of action given
the available data.
• At this stage, the term
“intelligence” is used very loosely;
it requires a lot of human input
for ML to arrive at rational
conclusions.
Source Arthur Cole
8. The Fascination
with Neurons! AI has the ability to create
neurons, which we so
value!
• Perhaps the
fascination with AI
has to do with….
• The fascination of
our own human
brain neurons
which rule our
bodies.
9. Artificial
Neural
Network (ANN)
• A neural network changes – (or
learns) based on that input and
output.
• An artificial neuron
network (ANN) is a
computational
model based on:
• The structure and
functions of
biological neural
networks.
• Information that
flows through the
network affects the
structure of the
ANN.
10. ANNs
• ANN is also known as a neural
network.
• An ANN has several advantages.
• The most recognized fact is that it
can actually learn, from observing
data sets.
• ANNs are considered
nonlinear statistical
data.
• Where complex
relationships between
(inputs and outputs) are
modeled.
• So patterns are found.
11. AI and the
Mandala Mind!
“A Mandala” (Buddhist
devotional symbol of the
Universe in its ideal form).
In common “use” Mandala
has become a term for:
the process of creating a
geometric pattern
to represent the cosmos as a
perfect circle to then let go.
A limitless stream of new
discovery!
It is found in both AI and
Mandalas.
Correlating to both mediums
of
Technology and Art.
12. AI Creation of the
Butterfly Brain!
Painting Mechanically
with Machine Learning.
13. Socrates and
AI!
"With recent
advances in
technology,
philosophy doesn't
seem like quite as
distant of a discipline
anymore."
John F. McMullen
AI teaches us to think
like Socrates!
15. AI with a
creative streak, is
essential to
Humankind!
American poet Ralph Waldo
Emerson once said, “Every artist
was first an amateur.”
“He likely never thought those
words would apply to machines.
Yet AI has demonstrated a
growing aptitude for creativity.”
Chris Baraniuk
16. Similarities of
Phillip Glass,
Composer, and
AI!
• His brand of music is
described as
minimalism.
AI is built on minimalism
that progresses
maintaining its
foundational shape.
17. Movement
inspired by AI!
"One of the most
fundamental requirements
of AI is…
to move characters around
in the game
sensibly." GitHub Inc.
Movement Matters!
Movement is how we
decorate emotion.
Can AI have emotion!
18. Ambient Amber
& AI!
Ambient intelligence
(also known as
"ubiquitous
computing")
refers to electronic
network technology .
It permeates physical
environments to
become responsive
and user interactive.
AI permeates and
takes over to grow!
19. AI for Animal
Lovers!
China’s ROOBO
(Globally Oriented AI
Solution Provider) shared
its latest creation,
"Domgy.”
He serves as a stepping
stone of sorts to pet
adoption,
building an affinity for all
creatures great and small
in the children who grow
up around the device.
Kristin House
20. Can AI help us
Understand Death!
"A consciousness makes
up who we are;
our selves, thoughts,
feelings, emotions.
That entity, it seems, does
not become annihilated
just because we've
crossed the threshold of
death.
It appears to keep
functioning and not
dissipate."
Kastalia Medrano
How long it lingers,
That is the question?
21. The role of AI in
Game Theory!
"We examine how two
intelligent systems behave
and respond in a
particular type of situation
known as an asymmetric
game.
Asymmetric games are
games where there are
not identical strategy sets
for both players.“
Karl Tuyls
22. The Bodiless Voice!
AI goes beyond a bodiless
voice to power us.
It lives in our brains and acts
like our brains, mimicking us!
The irony is; It is us!
Society has to treat it with
respect to keep it from
crushing us.
We must always appreciate
the differences and
synchronize the spontaneity.
23. AI Games!
AI games can =
AI against humanity!
It has foresight into
responsive
consciousness.
24. AI & Infinity!
"The granularity with
which the brain controls
resource consumption,
at scale,
is perhaps still beyond our
ability to comprehend.“
Steve Chalmers
Shall we call it
infinity!
25. AI seeking Common
Ground!
AI and Textualism vs
Interpretation?
AI has the ability to find common
ground through
logical linear deduction.
The question is;
Can our government
accomplish this in our
lifetime?
26. Critical Caution
with AI!
We must unlock the code
to mitigate malicious uses
of AI before it is too late.
It means identifying,
understanding,
and intercepting
Angry AI
The question is:
How?
27. AI and the Creation
of the Mind!
Network of the Mind!
• Invention
• Innovation
• Imagination
• Foundation
28. AI & The Falling
Feather
Synchronization
is the…..
Futuristic Fall
Forward!
29. "But what is ignored is that;
AI has done different things with a common approach
– deep learning and mimicking data.
But creativity demands independence!”
Source- Kaushik Pal
So the way forward is synchronization
between humans and AI with creativity
and deep learning!
