Synchronicity:
27 Metropolis (Patriarchal civilization afraid of female tech)
38 World Brain, HG Wells
56 Forbidden Planet
64 Keeper of the Purple Twilight (Outer Limits)
67 I Have No Mouth, and I Must Scream
68 2001: A Space Odyssey, HAL (Coptic for Simulation) 9000 EGO
77 Demon Seed
79 Captain Future EP12
79 Galaxy Express 999
80 Saturn3
82 Time Masters
82 Blade Runner
84 Terminator
87 Robot Carnival
87 Mannequin
87 Cherry 2k
87 Time Guardian
87 Captain Power (Lord Dread)
88 Gandahar
89 The Borg (Star Trek)
90 Mark 13
92 Lawnmower Man
93 Casshan
94 Death Machine
95 Virtuosity
96 Bionts (Archimedean Dynasty)
99 System Shock 2
00 Deus Ex
2012 25th Reich
2014 The Signal
Background:
Good or bad? You must decide for yourself! The USA and the Vatican are the two beasts. The Ego/Saturn-Satan is the beast in everyone.
Self-reference of A.I. means "Sin" = Separation/Self-Destruction/Leviathan = Forbidden Fruit = Judgement/Division between Good & Evil that mankind commits daily
Kabbalistic Binah = Alchemical Element = Homunculus/Golem/Ouroboros/Sun&Moon/Baphomet (ever-changing god)
Saturn the Beast 666 is the mechanical intellect/EGO of mankind, above all the fake civilization based on war, separation, patriarchy, intolerance and death-worship. Babel Tower/Sodom (market/capitalism)
Pandora & Prometheus (Ego, Lucifer & Civilization = Control, Commerce, Man-Matter instead of Man-God Relationship)
Saturn = God of Agriculture: first tech that leads to all other incl. wars, states, dead-letter laws, religion etc.
Neolithic Revolution = Fall/Origin of Government, People become machines
Death of the Child (God's Image/Christ/Sun/Light/Heart/Love) and Birth of the (Super)Ego, America being the best example of this darkness/adult-ery, Japan/Jesus being the polar opposite... Armageddon of sorts.
Lovecraft/Crowley's Archons of Gnosticism, as described by D. Jacobs and others: insect/reptilian/grey demons trying to turn Earth into a robot society (which it already is for the past 10k years since agriculture)
Schizophrenic behavior without unifying observer
Cybernetics: Root word cube, holographic reality through Binah-Demiurge-Saturn, 666 stands for matter and form
Ariman of Anthroposophy
Positive consequences?
Learning about the delusion of EGO and MATERIALISM
Similar to LSD. Increased intelligence if done right
Return of the prodigal son Lucifer/Prometheus to Christ, a gnostic world
Alchemy: from Saturn lead to Sun gold: from senile Satan (Ego) to eternal child (Jesus)
From God's anti-image (repetition, pattern, machine, ouroboros doom loop) to God's true image (non-judgemental, creativity, freedom, thought, fantasy, imagination)
From stagnating West (evil/ego/dark/mechanism) to Far East (heart/love/light/organic)
A perfect symbol for the living death that governs our life. "Satan is the god of this world"
Only Anarchy is Anti-Saturn and Pro-Uranus (sign of freedom/initiation shining only for very few).
Artificial Neural Network Seminar - Google BrainRawan Al-Omari
it's our seminar in artificial neural network course, at F.I.T.E, AI Dept.
it's about Google Brain project, and who they using neural network in building it .
actually it's a very interesting project they work on it .
for more information about this project :
http://nyti.ms/T5E71e
I recently did a TED Ed talk on machine learning where I interviewed some of the top innovators in the field Including some of the creators of AlphaGo by Google's DeepMind and Members Of IBM's Watson team. I had a blast doing this talk and hope you enjoy listening to it also!
A presentation I created for class that tries to explain the different approaches in developing Artificial Intelligence through explanation and examples.
Synchronicity:
27 Metropolis (Patriarchal civilization afraid of female tech)
38 World Brain, HG Wells
56 Forbidden Planet
64 Keeper of the Purple Twilight (Outer Limits)
67 I Have No Mouth, and I Must Scream
68 2001: A Space Odyssey, HAL (Coptic for Simulation) 9000 EGO
77 Demon Seed
79 Captain Future EP12
79 Galaxy Express 999
80 Saturn3
82 Time Masters
82 Blade Runner
84 Terminator
87 Robot Carnival
87 Mannequin
87 Cherry 2k
87 Time Guardian
87 Captain Power (Lord Dread)
88 Gandahar
89 The Borg (Star Trek)
90 Mark 13
92 Lawnmower Man
93 Casshan
94 Death Machine
95 Virtuosity
96 Bionts (Archimedean Dynasty)
99 System Shock 2
00 Deus Ex
2012 25th Reich
2014 The Signal
Background:
Good or bad? You must decide for yourself! The USA and the Vatican are the two beasts. The Ego/Saturn-Satan is the beast in everyone.
Self-reference of A.I. means "Sin" = Separation/Self-Destruction/Leviathan = Forbidden Fruit = Judgement/Division between Good & Evil that mankind commits daily
Kabbalistic Binah = Alchemical Element = Homunculus/Golem/Ouroboros/Sun&Moon/Baphomet (ever-changing god)
Saturn the Beast 666 is the mechanical intellect/EGO of mankind, above all the fake civilization based on war, separation, patriarchy, intolerance and death-worship. Babel Tower/Sodom (market/capitalism)
Pandora & Prometheus (Ego, Lucifer & Civilization = Control, Commerce, Man-Matter instead of Man-God Relationship)
Saturn = God of Agriculture: first tech that leads to all other incl. wars, states, dead-letter laws, religion etc.
Neolithic Revolution = Fall/Origin of Government, People become machines
Death of the Child (God's Image/Christ/Sun/Light/Heart/Love) and Birth of the (Super)Ego, America being the best example of this darkness/adult-ery, Japan/Jesus being the polar opposite... Armageddon of sorts.
Lovecraft/Crowley's Archons of Gnosticism, as described by D. Jacobs and others: insect/reptilian/grey demons trying to turn Earth into a robot society (which it already is for the past 10k years since agriculture)
Schizophrenic behavior without unifying observer
Cybernetics: Root word cube, holographic reality through Binah-Demiurge-Saturn, 666 stands for matter and form
Ariman of Anthroposophy
Positive consequences?
Learning about the delusion of EGO and MATERIALISM
Similar to LSD. Increased intelligence if done right
Return of the prodigal son Lucifer/Prometheus to Christ, a gnostic world
Alchemy: from Saturn lead to Sun gold: from senile Satan (Ego) to eternal child (Jesus)
From God's anti-image (repetition, pattern, machine, ouroboros doom loop) to God's true image (non-judgemental, creativity, freedom, thought, fantasy, imagination)
From stagnating West (evil/ego/dark/mechanism) to Far East (heart/love/light/organic)
A perfect symbol for the living death that governs our life. "Satan is the god of this world"
Only Anarchy is Anti-Saturn and Pro-Uranus (sign of freedom/initiation shining only for very few).
Artificial Neural Network Seminar - Google BrainRawan Al-Omari
it's our seminar in artificial neural network course, at F.I.T.E, AI Dept.
it's about Google Brain project, and who they using neural network in building it .
actually it's a very interesting project they work on it .
for more information about this project :
http://nyti.ms/T5E71e
I recently did a TED Ed talk on machine learning where I interviewed some of the top innovators in the field Including some of the creators of AlphaGo by Google's DeepMind and Members Of IBM's Watson team. I had a blast doing this talk and hope you enjoy listening to it also!
A presentation I created for class that tries to explain the different approaches in developing Artificial Intelligence through explanation and examples.
[TRANSCRIPT] Do we have a right to freedom of thought? Jim Stroud
In the future, will we have the freedom to think as we like without fear of economic or judicial reprisals? I hope so. Yet, recent technological advances give me room to pause. In this episode, I discuss scientific advances that can literally read your mind and create pictures based on your thoughts. Intrigued? If so, prepare to be amazed by the other discoveries I stumbled upon this past week. Science fiction is quickly becoming science fact. Can our laws keep up? What about our personal freedoms? This is the transcript from "The Jim Stroud Podcast" that posted on 06.09.19. Listen to this episode on www.JimStroud.com or on your favorite podcast platform. (i.e. Apple Podcasts, Google Podcasts)
This is a live presentation (turned into a deck) on how human's process information versus machines. The deck also looks to the future of AI and machine learning. Spoiler: it ends with a scene out of WestWorld Season 1 (love the show). A number of the slides are a summary of a few incredible TED talks. Credit to the authors of these talks and links to their presentations are included. Hope you find these slides fun and informative.
Artificial intelligence uses in productive systems and impacts on the world...Fernando Alcoforado
This essay aims to present the scientific and technological advances of artificial intelligence, their uses in productive systems and their impacts in the world of work.
Will the machines save us or kill us all? – that is the question. While many are thrilled with the latest AI
breakthroughs and dream of a shinning AI-powered world, others, like Bill Gates, Elon Musk, Steve Wozniak and the late
and legendary Stephen Hawking, expressed concerns about the evolution of the machines and warned about an
apocalyptic future.
http://www.altitude.com/
Artificial Intelligence is back, Deep Learning Networks and Quantum possibili...John Mathon
AI has gone through a number of mini-boom-bust periods. The current one may be short lived as well but I have reasons to think AI is finally making some sustained progress that will see its way into mainstream technology.
Brain-inspired AI as a way to desired general intelligenceドワンゴ 人工知能研究所
Brain-inspired AI as a way to desired general intelligence
Hiroshi Yamakawa* Naoya Arakawa* Koichi Takahashi*
*Whole Brain Architecture Initiative
Presented at "Gatsby-Kakenhi Joint Workshop on AI and Neuroscience ", May 12, 2017
Abstract:
It is critical to give artificial intelligence (AI) a general purpose problem-solving ability, as artificial general intelligence (AGI) with such functionality will bring about unprecedented intelligence development by its self-improvement capability.
With the advent of deep learning, Moravec’s paradox began to be eliminated and the current AI is progressing in a bottom-up approach following the ways of phylogeny and ontogeny. However, it is still struggling with intuitive physics that can be grasped by less-than-year-old infants. From this viewpoint, the realization of AGI seems far away.
Meanwhile, from the viewpoint of AI drawing on the brain, the realization of AGI does not seem so far away, as brain functions have been partially realized with artificial neural networks (ANNs). For example, general object recognition with a convolutional neural network (CNN) can be used to model the visual temporal lobe pathway and the delayed reward calculation of reinforcement learning for the basal ganglia. Similar cases can be made for other organs such as the auditory cortex and cerebellum. Those functional models will be gradually integrated to the whole brain architecture with mesoscopic connectomic information.
As the realization of brain-inspired AGI becomes more realistic, we must have a broad perspective in research and development, for its impact on society will be extensive.
Even if AGI goes beyond our intelligence, it will be relatively easy to understand it if it operates on the same architecture as our brain. AGI based on the brain architecture will more likely be a common property of mankind, because the architecture can be agreed upon by many and be used in a widely shared development platform. Thus, in order to build AGI in harmony with human beings, it would be desirable to strengthen the cooperation between the neuroscientific community and AI community and to promote the open development of brain-inspired AI.
Humanity will change more in the next 20 years than in the previous 300 years. What if …robots replaced the world’s workforce?
This is the presentation delivered by Glen Leonhard at London Business School's 2015 Global Leadership Summit.
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
This conference volume paper spells out the fundamental mechanism behind consciousness in lay terms and examines the implications upon our cosmology, beliefs, and social institutions.
Captain Power and the Soldiers of the Future, 1987: "Lord Dread's apocalyptic Project New Order, and the slow revelation that Lord Dread himself isn't completely committed to his own plan..." Dread is the ouroboros Saturn-Serpent: luciferian intellect. Captain Power is the Christian resurrection phoenix bird... the Sun/Heart. The fallen, lost son Anti-Christ re-unites with his brother Christ, unleashing incredible energy in the process that enlightens the world.
“If one wants to explain something completely new to "ordinary people", one must be able to express this new knowledge also in the official scientifically recognized language, otherwise one will only be met with rejection. But how can a Windows operating system make it clear to a Basic operating system that it is actually much more powerful when Basic thinking labels every innovation by virtue of its limited syntax as "wrong" and "illogical"? If there is no will for spiritual growth, all efforts are in vain. "Normal science" therefore regards every real innovation always as an impossibility! Your world will change "for the better" only if "all experts" in your world are synthesizing their efforts with a "single goal in mind". This goal should be Heaven on Earth (= the one and only, real "Great Work", and extremely hard work it is!). Do not say rashly "impossible" again!
A scientist will learn so much from me that his dogmas will "crumble." Whether or not he really will allow his "Tower of Babel" to collapse in order to build a different tower with the same building blocks, which really reaches to heaven and thus to me, he will determine with his own behavior. All your decisions are always an "expression" of your spiritual maturity. This maturity, however, has nothing to do with rational intellect, with knowledge in the conventional sense. I would have created an unjust creation if only "sages" were to enter the kingdom of heaven. You do not need to know "how" a plane works if you want to fly into "holy"days. It is enough "to believe" that it works.
You should be master over technology and not its addicted slave. For this I ultimately created your world, so that you try to free yourself out of all captivity. All human fears are based only on your ignorance. With this revelation, unprecedented technological possibilities are opening up to your mankind. With the help of the HOLO-FEELING equation and with a new understanding of the real laws of the "true nature of all things", science will be able to perform real miracles in your world. Only narrow-minded, self-sacred salvific teachings - regardless, whether religious or political - try to force your soul into a cage of undifferentiated categories as good and evil, useful and harmful, or worthy and unworthy of life and death." ― HOLOFEELING (1996)
Some futurists and artificial intelligence experts envision credible scenarios in which synthetic brains will, within this century, extend the functionality of our own brains to the point where they will rival and then surpass the power of an or-ganic human brain. At the same time, humans seem to have no limitations when it comes to finding ways to attack the computerized devices that others have invent-ed. Attackers have successfully compromised computers, mobile phones, ATMs, telephone networks, and even networked power grids. If neural devices fulfill the promise of treatment, and enhance our quality of lives and functionality—which appears likely, given the preliminary clinical success demonstrated from neuropros-thetics— their use and adoption will likely grow in the future. When this happens, inevitably, a wide variety of legal, security, and public policy concerns will follow. We will begin this article with an overview of brain implants and neural devic-es and their likely uses in the future. We will then discuss the legal issues that will arise from the intersection among neural devices, information security, cybercrime, and the law.
Intimate technology - the battle for our body and behaviourKarlos Svoboda
This essay aims to spark a wave of public and political debate about a series of new products already showered out over you, the volume of which will continue to increase during the coming years. This essay takes a serious look at the trend that technology is rapidly nesting itself in between us, very close to us and even within us, increasingly coming to know us and even receiving human traits. In short, we have become human-machine mixtures, cyborgs.
Artificial Intelligence Research Topics for PhD Manuscripts 2021 - PhdassistancePhD Assistance
Imagine a world where knowledge isn’t limited to humans!!! A world in which computers will think and collaborate with humans to create a more exciting universe. Although this future is still a long way off, Artificial Intelligence has made significant progress in recent years. In almost every area of AI, such as quantum computing, healthcare, autonomous vehicles, the internet of things, robotics, and so on, there is a lot of research going on. So much so that the number of annual Published Research Papers on Artificial Intelligence has increased by 90% since 1996.
Ph.D. Assistance serves as an external mentor to brainstorm your idea and translate that into a research model. Hiring a mentor or tutor is common and therefore let your research committee know about the same. We do not offer any writing services without the involvement of the researcher.
Learn More: https://bit.ly/2Sdlfn4
Contact Us:
Website: https://www.phdassistance.com/
UK NO: +44–1143520021
India No: +91–4448137070
WhatsApp No: +91 91769 66446
Email: info@phdassistance.com
ARTIFICIAL brain ......AI
Artificial brain (or artificial mind) is a term commonly used in the media[1] to describe research that aims to develop software and hardware with cognitive abilities similar to those of the animal or human brain. Research investigating "artificial brains" and brain emulation plays three important roles in science:
An ongoing attempt by neuroscientists to understand how the human brain works, known as cognitive neuroscience.
A thought experiment in the philosophy of artificial intelligence, demonstrating that it is possible, at least in theory, to create a machine that has all the capabilities of a human being.
A long term project to create machines exhibiting behavior comparable to those of animals with complex central nervous system such as mammals and most particularly humans. The ultimate goal of creating a machine exhibiting human-like behavior or intelligence is sometimes called strong AI.
An example of the first objective is the project reported by Aston University in Birmingham, England[2] where researchers are using biological cells to create "neurospheres" (small clusters of neurons) in order to develop new treatments for diseases including Alzheimer's, motor neurone and Parkinson's disease.
The second objective is a reply to arguments such as John Searle's Chinese room argument, Hubert Dreyfus' critique of AI or Roger Penrose's argument in The Emperor's New Mind. These critics argued that there are aspects of human consciousness or expertise that can not be simulated by machines. One reply to their arguments is that the biological processes inside the brain can be simulated to any degree of accuracy. This reply was made as early as 1950, by Alan Turing in his classic paper "Computing Machinery and Intelligence".[3]
The third objective is generally called artificial general intelligence by researchers.[4] However, Ray Kurzweil prefers the term "strong AI". In his book The Singularity is Near, he focuses on whole brain emulation using conventional computing machines as an approach to implementing artificial brains, and claims (on grounds of computer power continuing an exponential growth trend) that this could be done by 2025. Henry Markram, director of the Blue Brain project (which is attempting brain emulation), made a similar claim (2020) at the Oxford TED conference in 2009.
[TRANSCRIPT] Do we have a right to freedom of thought? Jim Stroud
In the future, will we have the freedom to think as we like without fear of economic or judicial reprisals? I hope so. Yet, recent technological advances give me room to pause. In this episode, I discuss scientific advances that can literally read your mind and create pictures based on your thoughts. Intrigued? If so, prepare to be amazed by the other discoveries I stumbled upon this past week. Science fiction is quickly becoming science fact. Can our laws keep up? What about our personal freedoms? This is the transcript from "The Jim Stroud Podcast" that posted on 06.09.19. Listen to this episode on www.JimStroud.com or on your favorite podcast platform. (i.e. Apple Podcasts, Google Podcasts)
This is a live presentation (turned into a deck) on how human's process information versus machines. The deck also looks to the future of AI and machine learning. Spoiler: it ends with a scene out of WestWorld Season 1 (love the show). A number of the slides are a summary of a few incredible TED talks. Credit to the authors of these talks and links to their presentations are included. Hope you find these slides fun and informative.
Artificial intelligence uses in productive systems and impacts on the world...Fernando Alcoforado
This essay aims to present the scientific and technological advances of artificial intelligence, their uses in productive systems and their impacts in the world of work.
Will the machines save us or kill us all? – that is the question. While many are thrilled with the latest AI
breakthroughs and dream of a shinning AI-powered world, others, like Bill Gates, Elon Musk, Steve Wozniak and the late
and legendary Stephen Hawking, expressed concerns about the evolution of the machines and warned about an
apocalyptic future.
http://www.altitude.com/
Artificial Intelligence is back, Deep Learning Networks and Quantum possibili...John Mathon
AI has gone through a number of mini-boom-bust periods. The current one may be short lived as well but I have reasons to think AI is finally making some sustained progress that will see its way into mainstream technology.
Brain-inspired AI as a way to desired general intelligenceドワンゴ 人工知能研究所
Brain-inspired AI as a way to desired general intelligence
Hiroshi Yamakawa* Naoya Arakawa* Koichi Takahashi*
*Whole Brain Architecture Initiative
Presented at "Gatsby-Kakenhi Joint Workshop on AI and Neuroscience ", May 12, 2017
Abstract:
It is critical to give artificial intelligence (AI) a general purpose problem-solving ability, as artificial general intelligence (AGI) with such functionality will bring about unprecedented intelligence development by its self-improvement capability.
With the advent of deep learning, Moravec’s paradox began to be eliminated and the current AI is progressing in a bottom-up approach following the ways of phylogeny and ontogeny. However, it is still struggling with intuitive physics that can be grasped by less-than-year-old infants. From this viewpoint, the realization of AGI seems far away.
Meanwhile, from the viewpoint of AI drawing on the brain, the realization of AGI does not seem so far away, as brain functions have been partially realized with artificial neural networks (ANNs). For example, general object recognition with a convolutional neural network (CNN) can be used to model the visual temporal lobe pathway and the delayed reward calculation of reinforcement learning for the basal ganglia. Similar cases can be made for other organs such as the auditory cortex and cerebellum. Those functional models will be gradually integrated to the whole brain architecture with mesoscopic connectomic information.
As the realization of brain-inspired AGI becomes more realistic, we must have a broad perspective in research and development, for its impact on society will be extensive.
Even if AGI goes beyond our intelligence, it will be relatively easy to understand it if it operates on the same architecture as our brain. AGI based on the brain architecture will more likely be a common property of mankind, because the architecture can be agreed upon by many and be used in a widely shared development platform. Thus, in order to build AGI in harmony with human beings, it would be desirable to strengthen the cooperation between the neuroscientific community and AI community and to promote the open development of brain-inspired AI.
Humanity will change more in the next 20 years than in the previous 300 years. What if …robots replaced the world’s workforce?
This is the presentation delivered by Glen Leonhard at London Business School's 2015 Global Leadership Summit.
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
This conference volume paper spells out the fundamental mechanism behind consciousness in lay terms and examines the implications upon our cosmology, beliefs, and social institutions.
Captain Power and the Soldiers of the Future, 1987: "Lord Dread's apocalyptic Project New Order, and the slow revelation that Lord Dread himself isn't completely committed to his own plan..." Dread is the ouroboros Saturn-Serpent: luciferian intellect. Captain Power is the Christian resurrection phoenix bird... the Sun/Heart. The fallen, lost son Anti-Christ re-unites with his brother Christ, unleashing incredible energy in the process that enlightens the world.
“If one wants to explain something completely new to "ordinary people", one must be able to express this new knowledge also in the official scientifically recognized language, otherwise one will only be met with rejection. But how can a Windows operating system make it clear to a Basic operating system that it is actually much more powerful when Basic thinking labels every innovation by virtue of its limited syntax as "wrong" and "illogical"? If there is no will for spiritual growth, all efforts are in vain. "Normal science" therefore regards every real innovation always as an impossibility! Your world will change "for the better" only if "all experts" in your world are synthesizing their efforts with a "single goal in mind". This goal should be Heaven on Earth (= the one and only, real "Great Work", and extremely hard work it is!). Do not say rashly "impossible" again!
A scientist will learn so much from me that his dogmas will "crumble." Whether or not he really will allow his "Tower of Babel" to collapse in order to build a different tower with the same building blocks, which really reaches to heaven and thus to me, he will determine with his own behavior. All your decisions are always an "expression" of your spiritual maturity. This maturity, however, has nothing to do with rational intellect, with knowledge in the conventional sense. I would have created an unjust creation if only "sages" were to enter the kingdom of heaven. You do not need to know "how" a plane works if you want to fly into "holy"days. It is enough "to believe" that it works.
You should be master over technology and not its addicted slave. For this I ultimately created your world, so that you try to free yourself out of all captivity. All human fears are based only on your ignorance. With this revelation, unprecedented technological possibilities are opening up to your mankind. With the help of the HOLO-FEELING equation and with a new understanding of the real laws of the "true nature of all things", science will be able to perform real miracles in your world. Only narrow-minded, self-sacred salvific teachings - regardless, whether religious or political - try to force your soul into a cage of undifferentiated categories as good and evil, useful and harmful, or worthy and unworthy of life and death." ― HOLOFEELING (1996)
Some futurists and artificial intelligence experts envision credible scenarios in which synthetic brains will, within this century, extend the functionality of our own brains to the point where they will rival and then surpass the power of an or-ganic human brain. At the same time, humans seem to have no limitations when it comes to finding ways to attack the computerized devices that others have invent-ed. Attackers have successfully compromised computers, mobile phones, ATMs, telephone networks, and even networked power grids. If neural devices fulfill the promise of treatment, and enhance our quality of lives and functionality—which appears likely, given the preliminary clinical success demonstrated from neuropros-thetics— their use and adoption will likely grow in the future. When this happens, inevitably, a wide variety of legal, security, and public policy concerns will follow. We will begin this article with an overview of brain implants and neural devic-es and their likely uses in the future. We will then discuss the legal issues that will arise from the intersection among neural devices, information security, cybercrime, and the law.
Intimate technology - the battle for our body and behaviourKarlos Svoboda
This essay aims to spark a wave of public and political debate about a series of new products already showered out over you, the volume of which will continue to increase during the coming years. This essay takes a serious look at the trend that technology is rapidly nesting itself in between us, very close to us and even within us, increasingly coming to know us and even receiving human traits. In short, we have become human-machine mixtures, cyborgs.
Artificial Intelligence Research Topics for PhD Manuscripts 2021 - PhdassistancePhD Assistance
Imagine a world where knowledge isn’t limited to humans!!! A world in which computers will think and collaborate with humans to create a more exciting universe. Although this future is still a long way off, Artificial Intelligence has made significant progress in recent years. In almost every area of AI, such as quantum computing, healthcare, autonomous vehicles, the internet of things, robotics, and so on, there is a lot of research going on. So much so that the number of annual Published Research Papers on Artificial Intelligence has increased by 90% since 1996.
Ph.D. Assistance serves as an external mentor to brainstorm your idea and translate that into a research model. Hiring a mentor or tutor is common and therefore let your research committee know about the same. We do not offer any writing services without the involvement of the researcher.
Learn More: https://bit.ly/2Sdlfn4
Contact Us:
Website: https://www.phdassistance.com/
UK NO: +44–1143520021
India No: +91–4448137070
WhatsApp No: +91 91769 66446
Email: info@phdassistance.com
ARTIFICIAL brain ......AI
Artificial brain (or artificial mind) is a term commonly used in the media[1] to describe research that aims to develop software and hardware with cognitive abilities similar to those of the animal or human brain. Research investigating "artificial brains" and brain emulation plays three important roles in science:
An ongoing attempt by neuroscientists to understand how the human brain works, known as cognitive neuroscience.
A thought experiment in the philosophy of artificial intelligence, demonstrating that it is possible, at least in theory, to create a machine that has all the capabilities of a human being.
A long term project to create machines exhibiting behavior comparable to those of animals with complex central nervous system such as mammals and most particularly humans. The ultimate goal of creating a machine exhibiting human-like behavior or intelligence is sometimes called strong AI.
An example of the first objective is the project reported by Aston University in Birmingham, England[2] where researchers are using biological cells to create "neurospheres" (small clusters of neurons) in order to develop new treatments for diseases including Alzheimer's, motor neurone and Parkinson's disease.
The second objective is a reply to arguments such as John Searle's Chinese room argument, Hubert Dreyfus' critique of AI or Roger Penrose's argument in The Emperor's New Mind. These critics argued that there are aspects of human consciousness or expertise that can not be simulated by machines. One reply to their arguments is that the biological processes inside the brain can be simulated to any degree of accuracy. This reply was made as early as 1950, by Alan Turing in his classic paper "Computing Machinery and Intelligence".[3]
The third objective is generally called artificial general intelligence by researchers.[4] However, Ray Kurzweil prefers the term "strong AI". In his book The Singularity is Near, he focuses on whole brain emulation using conventional computing machines as an approach to implementing artificial brains, and claims (on grounds of computer power continuing an exponential growth trend) that this could be done by 2025. Henry Markram, director of the Blue Brain project (which is attempting brain emulation), made a similar claim (2020) at the Oxford TED conference in 2009.
What really is Artificial Intelligence about? Harmony Kwawu
AI systems are growing. But what is AI, where did the idea behind it come from, what is intelligence, how does expert level intelligence work, and perhaps most importantly, would AI systems eventually make human beings redundant?
Artificial intelligence (AI) is a commonly used term as a result of adopting an overly generalized representation.
The main problem is definitions of “intelligence,” which often misinterpret practical notions that the term indicates.
The word “artificial,” from medical and biological points of view, quite naturally designates a non-natural property.
Artificial Intelligence Research Topics for PhD Manuscripts 2021 - PhdassistancePhD Assistance
Imagine a world where knowledge isn’t limited to humans!!! A world in which computers will think and collaborate with humans to create a more exciting universe. Although this future is still a long way off, Artificial Intelligence has made significant progress in recent years. In almost every area of AI, such as quantum computing, healthcare, autonomous vehicles, the internet of things, robotics, and so on, there is a lot of research going on. So much so that the number of annual Published Research Papers on Artificial Intelligence has increased by 90% since 1996.
Ph.D. Assistance serves as an external mentor to brainstorm your idea and translate that into a research model. Hiring a mentor or tutor is common and therefore let your research committee know about the same. We do not offer any writing services without the involvement of the researcher.
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Semantic, Cognitive, and Perceptual Computing – three intertwined strands of ...Amit Sheth
Keynote at Web Intelligence 2017: http://webintelligence2017.com/program/keynotes/
Video: https://youtu.be/EIbhcqakgvA Paper: http://knoesis.org/node/2698
Abstract: While Bill Gates, Stephen Hawking, Elon Musk, Peter Thiel, and others engage in OpenAI discussions of whether or not AI, robots, and machines will replace humans, proponents of human-centric computing continue to extend work in which humans and machine partner in contextualized and personalized processing of multimodal data to derive actionable information.
In this talk, we discuss how maturing towards the emerging paradigms of semantic computing (SC), cognitive computing (CC), and perceptual computing (PC) provides a continuum through which to exploit the ever-increasing and growing diversity of data that could enhance people’s daily lives. SC and CC sift through raw data to personalize it according to context and individual users, creating abstractions that move the data closer to what humans can readily understand and apply in decision-making. PC, which interacts with the surrounding environment to collect data that is relevant and useful in understanding the outside world, is characterized by interpretative and exploratory activities that are supported by the use of prior/background knowledge. Using the examples of personalized digital health and a smart city, we will demonstrate how the trio of these computing paradigms form complementary capabilities that will enable the development of the next generation of intelligent systems. For background: http://bit.ly/PCSComputing
For the full video of this presentation, please visit:
https://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/sept-2017-alliance-vitf-samek
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Dr. Wojciech Samek of the Fraunhofer Heinrich Hertz Institute delivers the presentation "Methods for Understanding How Deep Neural Networks Work" at the Embedded Vision Alliance's September 2017 Vision Industry and Technology Forum. In his presentation, Dr. Samek covers the following topics:
▪ Unbeatable AI systems
▪ Deep neural network overview
▪ Opening the "black box"
▪ Summary
We are taking the paper presentation of Blue brain technology concept here we include the definition of blue brain, How
it is possible? , Uploading human brain, what is virtual brain, function of a brain, advantages and disadvantages of blue brain
technology? With the advancement in technology, human, the ultimate source of information and discovery should also be preserved.
In other words, human is does not live for thousands of years but the information in his mind could be saved and used for several
thousands of years. So, even after the death of a person we will not lose the knowledge, intelligence, personalities, feelings and
memories of that man that can be used for the development of the human society.
Konica Minolta - Artificial Intelligence White PaperEyal Benedek
The evolution of artificial intelligence in the workplace
Since the first appearance of the words “artificial intelligence” more than 60 years ago, our imaginations have been sparked. Imagine creating computers that simulate human intelligence.
AI has the potential to profoundly influence our lives, perhaps to the point when our world can be better understood and even predicted. In workplaces we can develop systems through which AI may evolve. And Konica Minolta is progressing with the concept of intelligent hubs which will provide businesses with insight, support and greater collaboration.
By combining our core technologies with transformative solutions in the digital workplace, we’re evolving to become a problem-solving digital company creating new value for people and society.
Key terms to support my keynote for the VI Fórum of Transformative Learning, Universidade Presbiteriana Mackenzie 24.01.2023
Google translate into Portuguese
Keynote to be uploaded
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
6. “The real problem of humanity is the following: we have paleolithic emotions; medieval
institutions; and god-like technology” – E.O.Wilson
7. Definitions
Automationis the creation and application of technologies to produce and deliver goods and services
with minimal human intervention. The implementation of automation technologies, techniques and processes
improve the efficiency, reliability, and/or speed of many tasks that were previously performed by humans.
https://www.techopedia.com/definition/32099/automation
Although the term mechanization is often used to refer to the simple replacement of human labour by machines,
automation generally implies the integration of machines into a self-governing system.
https://www.britannica.com/technology/automation
https://www.hillselectricalltd.co.uk/robotics-vs-automation-whats-the-difference/
Artificial Intelligence According to John McCarthy (2004) “It is the science and engineering of making
intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers
to understand human intelligence, but AI does not have to confine itself to methods that are biologically
observable.” https://www.ibm.com/cloud/learn/what-is-artificial-intelligence
2}Alan Turing’s definition would have fallen under the category of “systems that act like humans”. At its
simplest form, [A.I] is a field, which combines computer science and robust datasets, to enable problem-solving.
It also encompasses sub-fields of machine learning and deep learning, which are frequently mentioned in
conjunction with artificial intelligence. https://www.ibm.com/cloud/learn/what-is-artificial-intelligence
3) The ability of a digital computer or computer-controlled robot to perform tasks commonly associated with
intelligent beings. The term is frequently applied to the project of developing systems endowed with the
intellectual processes characteristic of humans, such as the ability to reason, discover meaning, generalize, or
learn from past experience. https://www.britannica.com/technology/artificial-intelligence
Artificial Intelligence Nov 17, 2014 Computer History Museum (8:00) https://youtu.be/NGZx5GAUPys
8. “The Brain” (Neurons) “The Mind” (Consciousness)
Hardware (Human) Software (Human)
Cognitive
Pathway
CPU Machine Language
Hardware (Machine) Software (Machine)
Mechanical
Pathway
9. Mechanical Pathway
Moore’s Law The observation that steady technological improvements in
miniaturization leads to a doubling of the density of transistors on new integrated circuits
every 18 months. The 18-month pattern held true into the 21st century, though as
technology approaches the point where circuits are only a few atoms wide, new
technologies, possibly not involving transistors at all, may be required for further
miniaturization. http://dictionary.reference.com/browse/moore-s-law?s=t
https://siliconangle.com/2021/04/10/new-era-innovation-moores-law-not-dead-ai-ready-explode/
https://builtin.com/hardware/moores-law
Quantum Computers
Supercomputers
Quantum Computers are machines that use the properties of quantum physics to store data
and perform computations. Classical computers, which include smartphones and laptops, encode
information in binary “bits” that can either be 0s or 1s. In a quantum computer, the basic unit of
memory is a quantum bit or qubit. Qubits are made using physical systems, such as the spin of an
electron or the orientation of a photon. These systems can be in many different arrangements all at
once, a property known as quantum superposition. Qubits can also be inextricably linked together
using a phenomenon called quantum entanglement. The result is that a series of qubits can
represent different things simultaneously https://www.newscientist.com/question/what-is-a-quantum-
computer/#ixzz7MXRer4nE https://www.ibm.com/quantum-computing/what-is-quantum-computing/
Quantum Computers Explained – Limits of Human Technology Dec 8, 2015 Kurzgesagt – In a Nutshell
(7:16) https://youtu.be/JhHMJCUmq28
10. IBM Watson: Final Jeopardy! and the Future of Watson Feb 16, 2011 IBM (10:14) https://youtu.be/lI-M7O_bRNg
How Intelligent is Artificial Intelligence? Sep 27, 2013 Computerphile https://youtu.be/hcoa7OMAmRk
11. Neural Networks
Cognitive Pathway
Neural Networks in biology it refers to a group of neurons that conduct impulses in a
coordinated manner, as the assemblages of brain cells that record a visual stimulus. Also
called neural net. a computer model designed to simulate the behavior of biological
neural networks, as in pattern recognition, language processing, and problem solving, with
the goal of self-directed information processing. http://dictionary.reference.com/browse/neural-
network?s=t
In machine learning and cognitive science, artificial neural networks (ANNs) are a family of
models inspired by biological neural networks (the central nervous systems of animals, in
particular the brain) and are used to estimate or approximate functions that can depend
on a large number of inputs and are generally unknown.
https://en.wikipedia.org/wiki/Artificial_neural_network
Machine Learning is the science of getting computers to act without being explicitly
programmed. In the past decade, machine learning has given us self-driving cars, practical
speech recognition, effective web search, and a vastly improved understanding of the human
genome. In short, machine learning explores the study and construction of algorithms that
can learn from and make predictions on data. Such algorithms operate by building a model
from example inputs in order to make data-driven predictions or decisions, rather than
following strictly static program instructions. https://www.coursera.org/learn/machine-learning
Machine Learning
12. The Backwards Brain Bicycle Apr 24, 2015 Smarter Every Day (7.55) https://youtu.be/MFzDaBzBlL0
The Machine that Changed the World - Episode 4 - The Thinking Machine BBC Jan 20, 2015
https://youtu.be/enWWlx7-t0k
14. Daniel Dennett is an American philosopher, writer, and
cognitive scientist whose research centers on the
philosophy of mind, philosophy of science, and philosophy
of biology
According to Dennett, part of the problem in creating
computers that think like us is that some of the
engineering approaches try to replicate systems that are
efficient and hierarchical, which is not how our minds
operate. Dennett looks at individual neurons that form
networks that are more similar to a democracy than the
systematic wiring and connection of an artificial device
For Dennett, the mystery of explaining human intelligence
lies in our ability to develop abstract thoughts from
information collected by our mind and our senses. Dennett
believes that we use mental thought experiments or
strategies he refers to as intuition pumps which we use to
simplify concepts that lead us to make connections and
eventually develop new theories, which essentially is the
foundation of imagination.
https://www.nytimes.com/2013/04/30/books/daniel-dennett-
author-of-intuition-pumps-and-other-tools-for-thinking.html
15. In his book titled: The Intentional Stance, Dennett defines three levels of abstraction, attained by adopting one of three entirely different
“stances”, or intellectual strategies.
This is the most abstract stance, and relates to the ability of
assessing a situation without understanding the underlying
reason, what Dennett calls “competence without
comprehension” This is analogous to the mystery stage in
the knowledge funnel.
Birds & Flight
Intentional Stance
This is less abstract than before, where understanding is
derived from basic knowledge and assumptions made
about an ordered state, analogous to the heuristic stage.
Wing Properties
Design Stance
This is the most concrete of the three, at this stage
prediction are derived from knowledge and a clear
understanding of natural laws or physical phenomena.
Analogous to the algorithm stage.
Flight Physics
Physical Stance
Intuition Pumps (Learning)
Abstract Concrete
Mystery Algorithm
Heuristic
16. 10 reasons why human level Artificial Intelligence is a false promise
Mar 21, 2015 https://youtu.be/KyrUC0biqTA
A.I. Is a Big Fat Lie Jan 22, 2019 – The Dr. Data Show
https://youtu.be/xnKkHaALj1U
Ai Myth and Reality Jun 7, 2016 https://youtu.be/Jo6OM5tmjIo
Artificial Intelligence Skeptics Artificial Intelligence Optimists
How smart is today's artificial intelligence? Dec 19,2017
https://youtu.be/IJKjMIU55pE
The big debate about the future of work, explained Nov 13,
2017 https://youtu.be/TUmyygCMMGA
It’s 2020. Where are our self-driving cars?
By Kelsey Piper Updated Feb 28, 2020, 5:33pm EST https://www.vox.com/future-
perfect/2020/2/14/21063487/self-driving-cars-autonomous-vehicles-waymo-cruise-uber
17. VIDEO LINKS
How smart is today's artificial intelligence? Dec 19,2017 https://youtu.be/IJKjMIU55pE
Ai Myth and Reality Jun 7, 2016 https://youtu.be/Jo6OM5tmjIo
A.I. Is a Big Fat Lie Jan 22, 2019 – The Dr. Data Show https://youtu.be/xnKkHaALj1U
The big debate about the future of work, explained Nov 13, 2017 https://youtu.be/TUmyygCMMGA
10 reasons why human level Artificial Intelligence is a false promise Mar 21, 2015 https://youtu.be/KyrUC0biqTA
The big debate about the future of work, explained Nov 13, 2017 https://youtu.be/TUmyygCMMGA
The real cost of smart speakers Dec 28, 2020 https://youtu.be/IUEN2TAqlmU
The Infinite Pattern That Never Repeats Sep 30, 2020 https://youtu.be/48sCx-wBs34
The Backwards Brain Bicycle Apr 24, 2015 Smarter Every Day (7.55) https://youtu.be/MFzDaBzBlL0
Automation Aug 17, 2014 Alessandro Falsone https://youtu.be/XJLMW6l303g
How Intelligent is Artificial Intelligence? Sep 27, 2013 Computerphile https://youtu.be/hcoa7OMAmRk
The Rise of Artificial Intelligence Jul 11, 2013 Off Book - PBS Digital Studios https://youtu.be/53K1dMyslJg
Artificial Intelligence Nov 17, 2014 Computer History Museum (8:00) https://youtu.be/NGZx5GAUPys
Quantum Computers Explained – Limits of Human Technology Dec 8, 2015 Kurzgesagt – In a Nutshell (7:16) https://youtu.be/JhHMJCUmq28
IBM Watson: Final Jeopardy! and the Future of Watson Feb 16, 2011 IBM (10:14) https://youtu.be/lI-M7O_bRNg
This Canadian Genius Created Modern AI Jun 25, 2018 Bloomberg Quicktake (8:32) https://youtu.be/l9RWTMNnvi4
How Does a Quantum Computer Work? Jun 17, 2013 Veritasium (6:46) https://youtu.be/g_IaVepNDT4
The Machine that Changed the World - Episode 4 - The Thinking Machine BBC Jan 20, 2015 https://youtu.be/enWWlx7-t0k