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Artificial Intelligence - History And Timeline

     




    1942

    The Three Laws of Robotics by science fiction author Isaac Asimov occur in the short tale "Runaround."


    1943


    Emil Post, a mathematician, talks about "production systems," a notion he adopted for the 1957 General Problem Solver.


    1943


    "A Logical Calculus of the Ideas of Immanent in Nervous Activity," a study by Warren McCulloch and Walter Pitts on a computational theory of neural networks, is published.


    1944


    The Teleological Society was founded by John von Neumann, Norbert Wiener, Warren McCulloch, Walter Pitts, and Howard Aiken to explore, among other things, nervous system communication and control.


    1945


    In his book How to Solve It, George Polya emphasizes the importance of heuristic thinking in issue solving.


    1946


    In New York City, the first of eleven Macy Conferences on Cybernetics gets underway. "Feedback Mechanisms and Circular Causal Systems in Biological and Social Systems" is the focus of the inaugural conference.



    1948


    Norbert Wiener, a mathematician, publishes Cybernetics, or Control and Communication in the Animal and the Machine.


    1949


    In his book The Organization of Behavior, psychologist Donald Hebb provides a theory for brain adaptation in human education: "neurons that fire together connect together."


    1949


    Edmund Berkeley's book Giant Brains, or Machines That Think, is published.


    1950


    Alan Turing's "Computing Machinery and Intelligence" describes the Turing Test, which attributes intelligence to any computer capable of demonstrating intelligent behavior comparable to that of a person.


    1950


    Claude Shannon releases "Programming a Computer for Playing Chess," a groundbreaking technical study that shares search methods and strategies.



    1951


    Marvin Minsky, a math student, and Dean Edmonds, a physics student, create an electronic rat that can learn to navigate a labyrinth using Hebbian theory.


    1951


    John von Neumann, a mathematician, releases "General and Logical Theory of Automata," which reduces the human brain and central nervous system to a computer.


    1951


    For the University of Manchester's Ferranti Mark 1 computer, Christopher Strachey produces a checkers software and Dietrich Prinz creates a chess routine.


    1952


    Cyberneticist W. Edwards wrote Design for a Brain: The Origin of Adaptive Behavior, a book on the logical underpinnings of human brain function. Ross Ashby is a British actor.


    1952


    At Cornell University Medical College, physiologist James Hardy and physician Martin Lipkin begin developing a McBee punched card system for mechanical diagnosis of patients.


    1954


    Science-Fiction Thinking Machines: Robots, Androids, Computers, edited by Groff Conklin, is a theme-based anthology.


    1954


    The Georgetown-IBM project exemplifies the power of text machine translation.


    1955


    Under the direction of economist Herbert Simon and graduate student Allen Newell, artificial intelligence research began at Carnegie Tech (now Carnegie Mellon University).


    1955


    For Scientific American, mathematician John Kemeny wrote "Man as a Machine."


    1955


    In a Rockefeller Foundation proposal for a Dartmouth University meeting, mathematician John McCarthy coined the phrase "artificial intelligence."



    1956


    Allen Newell, Herbert Simon, and Cliff Shaw created Logic Theorist, an artificial intelligence computer software for proving theorems in Alfred North Whitehead and Bertrand Russell's Principia Mathematica.


    1956


    The "Constitutional Convention of AI," a Dartmouth Summer Research Project, brings together specialists in cybernetics, automata, information theory, operations research, and game theory.


    1956


    On television, electrical engineer Arthur Samuel shows off his checkers-playing AI software.


    1957


    Allen Newell and Herbert Simon created the General Problem Solver AI software.


    1957


    The Rockefeller Medical Electronics Center shows how an RCA Bizmac computer application might help doctors distinguish between blood disorders.


    1958


    The Computer and the Brain, an unfinished work by John von Neumann, is published.


    1958


    At the "Mechanisation of Thought Processes" symposium at the UK's Teddington National Physical Laboratory, Firmin Nash delivers the Group Symbol Associator its first public demonstration.


    1958


    For linear data categorization, Frank Rosenblatt develops the single layer perceptron, which includes a neural network and supervised learning algorithm.


    1958


    The high-level programming language LISP is specified by John McCarthy of the Massachusetts Institute of Technology (MIT) for AI research.


    1959


    "The Reasoning Foundations of Medical Diagnosis," written by physicist Robert Ledley and radiologist Lee Lusted, presents Bayesian inference and symbolic logic to medical difficulties.


    1959


    At MIT, John McCarthy and Marvin Minsky create the Artificial Intelligence Laboratory.


    1960


    James L. Adams, an engineering student, built the Stanford Cart, a remote control vehicle with a television camera.


    1962


    In his short novel "Without a Thought," science fiction and fantasy author Fred Saberhagen develops sentient killing robots known as Berserkers.


    1963


    John McCarthy developed the Stanford Artificial Intelligence Laboratory (SAIL).


    1963


    Under Project MAC, the Advanced Research Experiments Agency of the United States Department of Defense began financing artificial intelligence projects at MIT.


    1964


    Joseph Weizenbaum of MIT created ELIZA, the first software allowing natural language conversation with a computer (a "chatbot").


    1965


    I am a statistician from the United Kingdom. J. Good's "Speculations Concerning the First Ultraintelligent Machine," which predicts an impending intelligence explosion, is published.


    1965


    Hubert L. Dreyfus and Stuart E. Dreyfus, philosophers and mathematicians, publish "Alchemy and AI," a study critical of artificial intelligence.


    1965


    Joshua Lederberg and Edward Feigenbaum founded the Stanford Heuristic Programming Project, which aims to model scientific reasoning and create expert systems.


    1965


    Donald Michie is the head of Edinburgh University's Department of Machine Intelligence and Perception.


    1965


    Georg Nees organizes the first generative art exhibition, Computer Graphic, in Stuttgart, West Germany.


    1965


    With the expert system DENDRAL, computer scientist Edward Feigenbaum starts a ten-year endeavor to automate the chemical analysis of organic molecules.


    1966


    The Automatic Language Processing Advisory Committee (ALPAC) issues a cautious assessment on machine translation's present status.


    1967


    On a DEC PDP-6 at MIT, Richard Greenblatt finishes work on Mac Hack, a computer that plays competitive tournament chess.


    1967


    Waseda University's Ichiro Kato begins work on the WABOT project, which culminates in the unveiling of a full-scale humanoid intelligent robot five years later.


    1968


    Stanley Kubrick's adaptation of Arthur C. Clarke's science fiction novel 2001: A Space Odyssey, about the artificially intelligent computer HAL 9000, is one of the most influential and highly praised films of all time.


    1968


    At MIT, Terry Winograd starts work on SHRDLU, a natural language understanding program.


    1969


    Washington, DC hosts the First International Joint Conference on Artificial Intelligence (IJCAI).


    1972


    Artist Harold Cohen develops AARON, an artificial intelligence computer that generates paintings.


    1972


    Ken Colby describes his efforts using the software program PARRY to simulate paranoia.


    1972


    In What Computers Can't Do, Hubert Dreyfus offers his criticism of artificial intelligence's intellectual basis.


    1972


    Ted Shortliffe, a doctorate student at Stanford University, has started work on the MYCIN expert system, which is aimed to identify bacterial illnesses and provide treatment alternatives.


    1972


    The UK Science Research Council releases the Lighthill Report on Artificial Intelligence, which highlights AI technological shortcomings and the challenges of combinatorial explosion.


    1972


    The Assault on Privacy: Computers, Data Banks, and Dossiers, by Arthur Miller, is an early study on the societal implications of computers.


    1972


    INTERNIST-I, an internal medicine expert system, is being developed by University of Pittsburgh physician Jack Myers, medical student Randolph Miller, and computer scientist Harry Pople.


    1974


    Paul Werbos, a social scientist, has completed his dissertation on a backpropagation algorithm that is currently extensively used in artificial neural network training for supervised learning applications.


    1974


    The memo discusses the notion of a frame, a "remembered framework" that fits reality by "changing detail as appropriate." Marvin Minsky distributes MIT AI Lab document 306 on "A Framework for Representing Knowledge."


    1975


    The phrase "genetic algorithm" is used by John Holland to explain evolutionary strategies in natural and artificial systems.


    1976


    In Computer Power and Human Reason, computer scientist Joseph Weizenbaum expresses his mixed feelings on artificial intelligence research.


    1978


    At Rutgers University, EXPERT, a generic knowledge representation technique for constructing expert systems, becomes live.


    1978


    Joshua Lederberg, Douglas Brutlag, Edward Feigenbaum, and Bruce Buchanan started the MOLGEN project at Stanford to solve DNA structures generated from segmentation data in molecular genetics research.


    1979


    Raj Reddy, a computer scientist at Carnegie Mellon University, founded the Robotics Institute.


    1979


    While working with a robot, the first human is slain.


    1979


    Hans Moravec rebuilds and equips the Stanford Cart with a stereoscopic vision system after it has evolved into an autonomous rover over almost two decades.


    1980


    The American Association of Artificial Intelligence (AAAI) holds its first national conference at Stanford University.


    1980


    In his Chinese Room argument, philosopher John Searle claims that a computer's modeling of action does not establish comprehension, intentionality, or awareness.


    1982


    Release of Blade Runner, a science fiction picture based on Philip K. Dick's tale Do Androids Dream of Electric Sheep? (1968).


    1982


    The associative brain network, initially developed by William Little in 1974, is popularized by physicist John Hopfield.


    1984


    In Fortune Magazine, Tom Alexander writes "Why Computers Can't Outthink the Experts."


    1984


    At the Microelectronics and Computer Consortium (MCC) in Austin, TX, computer scientist Doug Lenat launches the Cyc project, which aims to create a vast commonsense knowledge base and artificial intelligence architecture.


    1984


    Orion Pictures releases the first Terminator picture, which features robotic assassins from the future and an AI known as Skynet.


    1986


    Honda establishes a research facility to build humanoid robots that can cohabit and interact with humans.


    1986


    Rodney Brooks, an MIT roboticist, describes the subsumption architecture for behavior-based robots.


    1986


    The Society of Mind is published by Marvin Minsky, who depicts the brain as a collection of collaborating agents.


    1989


    The MIT Artificial Intelligence Lab's Rodney Brooks and Anita Flynn publish "Fast, Cheap, and Out of Control: A Robot Invasion of the Solar System," a paper discussing the possibility of sending small robots on interplanetary exploration missions.


    1993


    The Cog interactive robot project is launched at MIT by Rodney Brooks, Lynn Andrea Stein, Cynthia Breazeal, and others.


    1995


    The phrase "generative music" was used by musician Brian Eno to describe systems that create ever-changing music by modifying parameters over time.


    1995


    The MQ-1 Predator unmanned aerial aircraft from General Atomics has entered US military and reconnaissance duty.


    1997


    Under normal tournament settings, IBM's Deep Blue supercomputer overcomes reigning chess champion Garry Kasparov.


    1997


    In Nagoya, Japan, the inaugural RoboCup, an international tournament featuring over forty teams of robot soccer players, takes place.


    1997


    NaturallySpeaking is Dragon Systems' first commercial voice recognition software product.


    1999


    Sony introduces AIBO, a robotic dog, to the general public.


    2000


    The Advanced Step in Innovative Mobility humanoid robot, ASIMO, is unveiled by Honda.


    2001


    At Super Bowl XXXV, Visage Corporation unveils the FaceFINDER automatic face-recognition technology.


    2002


    The Roomba autonomous household vacuum cleaner is released by the iRobot Corporation, which was created by Rodney Brooks, Colin Angle, and Helen Greiner.


    2004


    In the Mojave Desert near Primm, NV, DARPA hosts its inaugural autonomous vehicle Grand Challenge, but none of the cars complete the 150-mile route.


    2005


    Under the direction of neurologist Henry Markram, the Swiss Blue Brain Project is formed to imitate the human brain.


    2006


    Netflix is awarding a $1 million prize to the first programming team to create the greatest recommender system based on prior user ratings.


    2007


    DARPA has announced the commencement of the Urban Challenge, an autonomous car competition that will test merging, passing, parking, and navigating traffic and junctions.


    2009


    Under the leadership of Sebastian Thrun, Google launches its self-driving car project (now known as Waymo) in the San Francisco Bay Area.


    2009


    Fei-Fei Li of Stanford University describes her work on ImageNet, a library of millions of hand-annotated photographs used to teach AIs to recognize the presence or absence of items visually.


    2010


    Human manipulation of automated trading algorithms causes a "flash collapse" in the US stock market.


    2011


    Demis Hassabis, Shane Legg, and Mustafa Suleyman developed DeepMind in the United Kingdom to educate AIs how to play and succeed at classic video games.


    2011


    Watson, IBM's natural language computer system, has beaten Jeopardy! Ken Jennings and Brad Rutter are the champions.


    2011


    The iPhone 4S comes with Apple's mobile suggestion assistant Siri.


    2011


    Andrew Ng, a computer scientist, and Google colleagues Jeff Dean and Greg Corrado have launched an informal Google Brain deep learning research cooperation.


    2013


    The European Union's Human Brain Project aims to better understand how the human brain functions and to duplicate its computing capabilities.


    2013


    Stop Killer Robots is a campaign launched by Human Rights Watch.


    2013


    Spike Jonze's science fiction drama Her has been released. A guy and his AI mobile suggestion assistant Samantha fall in love in the film.


    2014


    Ian Goodfellow and colleagues at the University of Montreal create Generative Adversarial Networks (GANs) for use in deep neural networks, which are beneficial in making realistic fake human photos.


    2014


    Eugene Goostman, a chatbot that plays a thirteen-year-old kid, is said to have passed a Turing-like test.


    2014


    According to physicist Stephen Hawking, the development of AI might lead to humanity's extinction.


    2015


    DeepFace is a deep learning face recognition system that Facebook has released on its social media platform.


    2016


    In a five-game battle, DeepMind's AlphaGo software beats Lee Sedol, a 9th dan Go player.


    2016


    Tay, a Microsoft AI chatbot, has been put on Twitter, where users may teach it to send abusive and inappropriate posts.


    2017


    The Asilomar Meeting on Beneficial AI is hosted by the Future of Life Institute.


    2017


    Anthony Levandowski, an AI self-driving start-up engineer, formed the Way of the Future church with the goal of creating a superintelligent robot god.


    2018


    Google has announced Duplex, an AI program that uses natural language to schedule appointments over the phone.


    2018


    The General Data Protection Regulation (GDPR) and "Ethics Guidelines for Trustworthy AI" are published by the European Union.


    2019


    A lung cancer screening AI developed by Google AI and Northwestern Medicine in Chicago, IL, surpasses specialized radiologists.


    2019


    Elon Musk cofounded OpenAI, which generates realistic tales and journalism via artificial intelligence text generation. Because of its ability to spread false news, it was previously judged "too risky" to utilize.


    2020


    TensorFlow Quantum, an open-source framework for quantum machine learning, was announced by Google AI in conjunction with the University of Waterloo, the "moonshot faculty" X, and Volkswagen.




    ~ Jai Krishna Ponnappan

    Find Jai on Twitter | LinkedIn | Instagram


    You may also want to read more about Artificial Intelligence here.










    Artificial Intelligence - Who Is Elon Musk?

     




    Elon Musk (1971–) is an American businessman and inventor.

    Elon Musk is an engineer, entrepreneur, and inventor who was born in South Africa.

    He is a dual citizen of South Africa, Canada, and the United States, and resides in California.

    Musk is widely regarded as one of the most prominent inventors and engineers of the twenty-first century, as well as an important influencer and contributor to the development of artificial intelligence.

    Despite his controversial personality, Musk is widely regarded as one of the most prominent inventors and engineers of the twenty-first century and an important influencer and contributor to the development of artificial intelligence.

    Musk's business instincts and remarkable technological talent were evident from an early age.

    By the age of 10, he had self-taught himself how program computers, and by the age of twelve, he had produced a video game and sold the source code to a computer magazine.

    Musk has included allusions to some of his favorite novels in SpaceX's Falcon Heavy rocket launch and Tesla's software since he was a youngster.

    Musk's official schooling was centered on economics and physics rather than engineering, interests that are mirrored in his subsequent work, such as his efforts in renewable energy and space exploration.

    He began his education at Queen's University in Canada, but later transferred to the University of Pennsylvania, where he earned bachelor's degrees in Economics and Physics.

    Musk barely stayed at Stanford University for two days to seek a PhD in energy physics before departing to start his first firm, Zip2, with his brother Kimbal Musk.


    Musk has started or cofounded many firms, including three different billion-dollar enterprises: SpaceX, Tesla, and PayPal, all driven by his diverse interests and goals.


    • Zip2 was a web software business that was eventually purchased by Compaq.

    • X.com: an online bank that merged with PayPal to become the online payments corporation PayPal.

    • Tesla, Inc.: an electric car and solar panel maker 

    • SpaceX: a commercial aircraft manufacturer and space transportation services provider (via its subsidiarity SolarCity) 

    • Neuralink: a neurotechnology startup focusing on brain-computer connections 

    • The Boring Business: an infrastructure and tunnel construction corporation

     • OpenAI: a nonprofit AI research company focused on the promotion and development of friendly AI Musk is a supporter of environmentally friendly energy and consumption.


    Concerns over the planet's future habitability prompted him to investigate the potential of establishing a self-sustaining human colony on Mars.

    Other projects include the Hyperloop, a high-speed transportation system, and the Musk electric jet, a jet-powered supersonic electric aircraft.

    Musk sat on President Donald Trump's Strategy and Policy Forum and Manufacturing Jobs Initiative for a short time before stepping out when the US withdrew from the Paris Climate Agreement.

    Musk launched the Musk Foundation in 2002, which funds and supports research and activism in the domains of renewable energy, human space exploration, pediatric research, and science and engineering education.

    Musk's effect on AI is significant, despite his best-known work with Tesla and SpaceX, as well as his contentious social media pronouncements.

    In 2015, Musk cofounded the charity OpenAI with the objective of creating and supporting "friendly AI," or AI that is created, deployed, and utilized in a manner that benefits mankind as a whole.

    OpenAI's objective is to make AI open and accessible to the general public, reducing the risks of AI being controlled by a few privileged people.

    OpenAI is especially concerned about the possibility of Artificial General Intelligence (AGI), which is broadly defined as AI capable of human-level (or greater) performance on any intellectual task, and ensuring that any such AGI is developed responsibly, transparently, and distributed evenly and openly.

    OpenAI has had its own successes in taking AI to new levels while staying true to its goals of keeping AI friendly and open.

    In June of 2018, a team of OpenAI-built robots defeated a human team in the video game Dota 2, a feat that could only be accomplished through robot teamwork and collaboration.

    Bill Gates, a cofounder of Microsoft, praised the achievement on Twitter, calling it "a huge milestone in advancing artificial intelligence" (@BillGates, June 26, 2018).

    Musk resigned away from the OpenAI board in February 2018 to prevent any conflicts of interest while Tesla advanced its AI work for autonomous driving.

    Musk became the CEO of Tesla in 2008 after cofounding the company in 2003 as an investor.

    Musk was the chairman of Tesla's board of directors until 2018, when he stepped down as part of a deal with the US Securities and Exchange Commission over Musk's false claims about taking the company private.

    Tesla produces electric automobiles with self-driving capabilities.

    Tesla Grohmann Automation and Solar City, two of its subsidiaries, offer relevant automotive technology and manufacturing services and solar energy services, respectively.

    Tesla, according to Musk, will reach Level 5 autonomous driving capabilities in 2019, as defined by the National Highway Traffic Safety Administration's (NHTSA) five levels of autonomous driving.

    Tes la's aggressive development with autonomous driving has influenced conventional car makers' attitudes toward electric cars and autonomous driving, and prompted a congressional assessment of how and when the technology should be regulated.

    Musk is widely credited as a key influencer in moving the automotive industry toward autonomous driving, highlighting the benefits of autonomous vehicles (including reduced fatalities in vehicle crashes, increased worker productivity, increased transportation efficiency, and job creation) and demonstrating that the technology is achievable in the near term.

    Tesla's autonomous driving code has been created and enhanced under the guidance of Musk and Tesla's Director of AI, Andrej Karpathy (Autopilot).

    The computer vision analysis used by Tesla, which includes an array of cameras on each car and real-time image processing, enables the system to make real-time observations and predictions.

    The cameras, as well as other exterior and internal sensors, capture a large quantity of data, which is evaluated and utilized to improve Autopilot programming.

    Tesla is the only autonomous car maker that is opposed to the LIDAR laser sensor (an acronym for light detection and ranging).

    Tesla uses cameras, radar, and ultrasonic sensors instead.

    Though academics and manufacturers disagree on whether LIDAR is required for fully autonomous driving, the high cost of LIDAR has limited Tesla's rivals' ability to produce and sell vehicles at a pricing range that allows a large number of cars on the road to gather data.

    Tesla is creating its own AI hardware in addition to its AI programming.

    Musk stated in late 2017 that Tesla is building its own silicon for artificial-intelligence calculations, allowing the company to construct its own AI processors rather than depending on third-party sources like Nvidia.

    Tesla's AI progress in autonomous driving has been marred by setbacks.

    Tesla has consistently missed self-imposed deadlines, and serious accidents have been blamed on flaws in the vehicle's Autopilot mode, including a non-injury accident in 2018, in which the vehicle failed to detect a parked firetruck on a California freeway, and a fatal accident in 2018, in which the vehicle failed to detect a pedestrian outside a crosswalk.

    Neuralink was established by Musk in 2016.

    With the stated objective of helping humans to keep up with AI breakthroughs, Neuralink is focused on creating devices that can be implanted into the human brain to better facilitate communication between the brain and software.

    Musk has characterized the gadgets as a more efficient interface with computer equipment, while people now operate things with their fingertips and voice commands, directives would instead come straight from the brain.

    Though Musk has made major advances to AI, his pronouncements regarding the risks linked with AI have been apocalyptic.

    Musk has called AI "humanity's greatest existential danger" and "the greatest peril we face as a civilisation" (McFarland 2014).

    (Morris 2017).

    He cautions against the perils of power concentration, a lack of independent control, and a competitive rush to acceptance without appropriate analysis of the repercussions.

    While Musk has used colorful terminology such as "summoning the devil" (McFarland 2014) and depictions of cyborg overlords, he has also warned of more immediate and realistic concerns such as job losses and AI-driven misinformation campaigns.

    Though Musk's statements might come out as alarmist, many important and well-respected figures, including as Microsoft cofounder Bill Gates, Swedish-American scientist Max Tegmark, and the late theoretical physicist Stephen Hawking, share his concern.

    Furthermore, Musk does not call for the cessation of AI research.

    Instead, Musk supports for responsible AI development and regulation, including the formation of a Congressional committee to spend years studying AI with the goal of better understanding the technology and its hazards before establishing suitable legal limits.



    ~ Jai Krishna Ponnappan

    Find Jai on Twitter | LinkedIn | Instagram


    You may also want to read more about Artificial Intelligence here.



    See also: 


    Bostrom, Nick; Superintelligence.


    References & Further Reading:


    Gates, Bill. (@BillGates). 2018. Twitter, June 26, 2018. https://twitter.com/BillGates/status/1011752221376036864.

    Marr, Bernard. 2018. “The Amazing Ways Tesla Is Using Artificial Intelligence and Big Data.” Forbes, January 8, 2018. https://www.forbes.com/sites/bernardmarr/2018/01/08/the-amazing-ways-tesla-is-using-artificial-intelligence-and-big-data/.

    McFarland, Matt. 2014. “Elon Musk: With Artificial Intelligence, We Are Summoning the Demon.” Washington Post, October 24, 2014. https://www.washingtonpost.com/news/innovations/wp/2014/10/24/elon-musk-with-artificial-intelligence-we-are-summoning-the-demon/.

    Morris, David Z. 2017. “Elon Musk Says Artificial Intelligence Is the ‘Greatest Risk We Face as a Civilization.’” Fortune, July 15, 2017. https://fortune.com/2017/07/15/elon-musk-artificial-intelligence-2/.

    Piper, Kelsey. 2018. “Why Elon Musk Fears Artificial Intelligence.” Vox Media, Novem￾ber 2, 2018. https://www.vox.com/future-perfect/2018/11/2/18053418/elon-musk-artificial-intelligence-google-deepmind-openai.

    Strauss, Neil. 2017. “Elon Musk: The Architect of Tomorrow.” Rolling Stone, November 15, 2017. https://www.rollingstone.com/culture/culture-features/elon-musk-the-architect-of-tomorrow-120850/.



    Artificial Intelligence - Who Is Hans Moravec?

     




    Hans Moravec(1948–) is well-known in the computer science community as the long-time head of Carnegie Mellon University's Robotics Institute and an unashamed techno logical optimist.

    For the last twenty-five years, he has studied and produced artificially intelligent robots at the CMU lab, where he is still an adjunct faculty member.

    Moravec spent almost 10 years as a research assistant at Stanford University's groundbreaking Artificial Intelligence Lab before coming to Carnegie Mellon.

    Moravec is also noted for his paradox, which states that, contrary to popular belief, it is simple to program high-level thinking skills into robots—as with chess or Jeopardy!—but difficult to transmit sensorimo tor agility.

    Human sensory and motor abilities have developed over millions of years and seem to be easy, despite their complexity.

    Higher-order cognitive abilities, on the other hand, are the result of more recent cultural development.

    Geometry, stock market research, and petroleum engineering are examples of disciplines that are difficult for people to learn but easier for robots to learn.

    "The basic lesson of thirty-five years of AI research is that the hard issues are simple, and the easy ones are hard," writes Steven Pinker of Moravec's scientific career.

    Moravec built his first toy robot out of scrap metal when he was eleven years old, and his light-following electronic turtle and a robot operated by punched paper tape earned him two high school science fair honors.

    He proposed a Ship of Theseus-like analogy for the viability of artificial brains while still in high school.

    Consider replacing a person's human neurons one by one with precisely manufactured equivalents, he said.

    When do you think human awareness will vanish? Is anybody going to notice? Is it possible to establish that the person is no longer human? Later in his career, Moravec would suggest that human knowledge and training might be broken down in the same manner, into subtasks that machine intelligences could take over.

    Moravec's master's thesis focused on the development of a computer language for artificial intelligence, while his PhD research focused on the development of a robot that could navigate obstacle courses utilizing spatial representation methods.

    The area of interest (ROI) in a scene was identified by these robot vision systems.

    Moravec's early computer vision robots were extremely sluggish by today's standards, taking around five hours to go from one half of the facility to the other.

    To measure distance and develop an internal picture of physical impediments in the room, a remote computer carefully analysed continuous video-camera images recorded by the robot from various angles.

    Moravec finally developed 3D occupancy grid technology, which allowed a robot to create an awareness of a cluttered area in a matter of seconds.

    Moravec's lab took on a new challenge by converting a Pontiac TransSport minivan into one of the world's first road-ready autonomous cars.

    The self-driving minivan reached speeds of up to 60 miles per hour.

    DANTE II, a robot capable of going inside the crater of an active volcano on Mount Spurr in Alaska, was also constructed by the CMU Robotics Institute.

    While DANTE II's immediate aim was to sample harmful fumarole gases, a job too perilous for humans, it was also planned to demonstrate technologies for robotic expeditions to distant worlds.

    The volcanic explorer robot used artificial intelligence to navigate the perilous, boulder-strewn terrain on its own.

    Because such rovers produced so much visual and other sensory data that had to be analyzed and managed, Moravec believes that experience with mobile robots spurred the development of powerful artificial intelligence and computer vision methods.

    For the National Aeronautics and Space Administration (NASA), Moravec's team built fractal branching ultra-dexterous robots ("Bush robots") in the 1990s.

    These robots, which were proposed but never produced due to the lack of necessary manufacturing technologies, comprised of a branching hierarchy of dynamic articulated limbs, starting with a main trunk and splitting down into smaller branches.

    As a result, the Bush robot would have "hands" at all scales, from macroscopic to tiny.

    The tiniest fingers would be nanoscale in size, allowing them to grip very tiny objects.

    Moravec said the robot would need autonomy and depend on artificial intelligence agents scattered throughout the robot's limbs and branches because to the intricacy of manipulating millions of fingers in real time.

    He believed that the robots may be made entirely of carbon nanotube material, employing the quick prototyping technology known as 3D printers.

    Moravec believes that artificial intelligence will have a significant influence on human civilization.

    To stress the role of AI in change, he coined the concept of the "landscape of human capability," which physicist Max Tegmark has later converted into a graphic depiction.

    Moravec's picture depicts a three-dimensional environment in which greater altitudes reflect more challenging jobs in terms of human difficulty.

    The point where the swelling waters meet the shore reflects the line where robots and humans both struggle with the same duties.

    Art, science, and literature are now beyond of grasp for an AI, but the sea has already defeated mathematics, chess, and the game Go.

    Language translation, autonomous driving, and financial investment are all on the horizon.

    More controversially, in two popular books, Mind Children (1988) and Robot: Mere Machine to Transcendent Mind (1989), Moravec engaged in future conjecture based on what he understood of developments in artificial intelligence research (1999).

    In 2040, he said, human intellect will be surpassed by machine intelligence, and the human species would go extinct.

    Moravec evaluated the functional equivalence between 50,000 million instructions per second (50,000 MIPS) of computer power and a gram of brain tissue and came up with this figure.

    He calculated that home computers in the early 2000s equaled only an insect's nervous system, but that if processing power doubled every eighteen months, 350 million years of human intellect development could be reduced to just 35 years of artificial intelligence advancement.

    He estimated that a hundred million MIPS would be required to create human-like universal robots.

    Moravec refers to these sophisticated robots as our "mind children" in the year 2040.

    Humans, he claims, will devise techniques to delay biological civilization's final demise.

    Moravec, for example, was the first to anticipate what is now known as universal basic income, which is delivered by benign artificial superintelligences.

    In a completely automated society, a basic income system would provide monthly cash payments to all individuals without any type of employment requirement.

    Moravec is more concerned about the idea of a renegade automated corporation breaking its programming and refusing to pay taxes into the human cradle-to-grave social security system than he is about technological unemployment.

    Nonetheless, he predicts that these "wild" intelligences will eventually control the universe.

    Moravec has said that his books Mind Children and Robot may have had a direct impact on the last third of Stanley Kubrick's original screenplay for A.I. Artificial Intelligence (later filmed by Steven Spielberg).

    Moravecs, on the other hand, are self-replicating devices in the science fiction books Ilium and Olympos.

    Moravec defended the same physical fundamentalism he expressed in his high school thoughts throughout his life.

    He contends in his most transhumanist publications that the only way for humans to stay up with machine intelligences is to merge with them by replacing sluggish human cerebral tissue with artificial neural networks controlled by super-fast algorithms.

    In his publications, Moravec has blended the ideas of artificial intelligence with virtual reality simulation.


    He's come up with four scenarios for the development of consciousness.

    (1) human brains in the physical world, 

    (2) a programmed AI implanted in a physical robot, 

    (3) a human brain immersed in a virtual reality simulation, and 

    (4) an AI functioning inside the boundaries of virtual reality All of them are equally credible depictions of reality, and they are as "real" as we believe them to be.


    Moravec is the creator and chief scientist of the Pittsburgh-based Seegrid Corporation, which makes autonomous Robotic Industrial Trucks that can navigate warehouses and factories without the usage of automated guided vehicle systems.

    A human trainer physically pushes Seegrid's vehicles through a new facility once.

    The robot conducts the rest of the job, determining the most efficient and safe pathways for future journeys, while the trainer stops at the appropriate spots for the truck to be loaded and unloaded.

    Seegrid VGVs have transported over two million production miles and eight billion pounds of merchandise for DHL, Whirlpool, and Amazon.

    Moravec was born in the Austrian town of Kautzen.

    During World War II, his father was a Czech engineer who sold electrical products.

    When the Russians invaded Czechoslovakia in 1944, the family moved to Austria.

    In 1953, his family relocated to Canada, where he now resides.

    Moravec earned a bachelor's degree in mathematics from Acadia University in Nova Scotia, a master's degree in computer science from the University of Western Ontario, and a doctorate from Stanford University, where he worked with John McCarthy and Tom Binford on his thesis.

    The Office of Naval Study, the Defense Advanced Research Projects Agency, and NASA have all supported his research.

    Elon Musk (1971–) is an American businessman and inventor.

    Elon Musk is an engineer, entrepreneur, and inventor who was born in South Africa.

    He is a dual citizen of South Africa, Canada, and the United States, and resides in California.

    Musk is widely regarded as one of the most prominent inventors and engineers of the twenty-first century, as well as an important influencer and contributor to the development of artificial intelligence.

    Despite his controversial personality, Musk is widely regarded as one of the most prominent inventors and engineers of the twenty-first century and an important influencer and contributor to the development of artificial intelligence.

    Musk's business instincts and remarkable technological talent were evident from an early age.

    By the age of 10, he had self-taught himself how program computers, and by the age of twelve, he had produced a video game and sold the source code to a computer maga zine.

    Musk has included allusions to some of his favorite novels in SpaceX's Falcon Heavy rocket launch and Tesla's software since he was a youngster.

    Musk's official schooling was centered on economics and physics rather than engineering, interests that are mirrored in his subsequent work, such as his efforts in renewable energy and space exploration.

    He began his education at Queen's University in Canada, but later transferred to the University of Pennsylvania, where he earned bachelor's degrees in Economics and Physics.

    Musk barely stayed at Stanford University for two days to seek a PhD in energy physics before departing to start his first firm, Zip2, with his brother Kimbal Musk.

    Musk has started or cofounded many firms, including three different billion-dollar enterprises: SpaceX, Tesla, and PayPal, all driven by his diverse interests and goals.

    • Zip2 was a web software business that was eventually purchased by Compaq.

    • X.com: an online bank that merged with PayPal to become the online payments corporation PayPal.

    • Tesla, Inc.: an electric car and solar panel maker • SpaceX: a commercial aircraft manufacturer and space transportation services provider (via its subsidiarity SolarCity) • Neuralink: a neurotechnology startup focusing on brain-computer connections • The Boring Business: an infrastructure and tunnel construction corporation • OpenAI: a nonprofit AI research company focused on the promotion and development of friendly AI Musk is a supporter of environmentally friendly energy and consumption.

    Concerns over the planet's future habitability prompted him to investigate the potential of establishing a self-sustaining human colony on Mars.

    Other projects include the Hyperloop, a high-speed transportation system, and the Musk electric jet, a jet-powered supersonic electric aircraft.

    Musk sat on President Donald Trump's Strategy and Policy Forum and Manufacturing Jobs Initiative for a short time before stepping out when the US withdrew from the Paris Climate Agreement.

    Musk launched the Musk Foundation in 2002, which funds and supports research and activism in the domains of renewable energy, human space exploration, pediatric research, and science and engineering education.

    Musk's effect on AI is significant, despite his best-known work with Tesla and SpaceX, as well as his contentious social media pronouncements.

    In 2015, Musk cofounded the charity OpenAI with the objective of creating and supporting "friendly AI," or AI that is created, deployed, and utilized in a manner that benefits mankind as a whole.

    OpenAI's objective is to make AI open and accessible to the general public, reducing the risks of AI being controlled by a few privileged people.

    OpenAI is especially concerned about the possibility of Artificial General Intelligence (AGI), which is broadly defined as AI capable of human-level (or greater) performance on any intellectual task, and ensuring that any such AGI is developed responsibly, transparently, and distributed evenly and openly.

    OpenAI has had its own successes in taking AI to new levels while staying true to its goals of keeping AI friendly and open.

    In June of 2018, a team of OpenAI-built robots defeated a human team in the video game Dota 2, a feat that could only be accomplished through robot teamwork and collaboration.

    Bill Gates, a cofounder of Microsoft, praised the achievement on Twitter, calling it "a huge milestone in advancing artificial intelligence" (@BillGates, June 26, 2018).

    Musk resigned away from the OpenAI board in February 2018 to prevent any conflicts of interest while Tesla advanced its AI work for autonomous driving.

    Musk became the CEO of Tesla in 2008 after cofounding the company in 2003 as an investor.

    Musk was the chairman of Tesla's board of directors until 2018, when he stepped down as part of a deal with the US Securities and Exchange Commission over Musk's false claims about taking the company private.

    Tesla produces electric automobiles with self-driving capabilities.

    Tesla Grohmann Automation and Solar City, two of its subsidiaries, offer relevant automotive technology and manufacturing services and solar energy services, respectively.

    Tesla, according to Musk, will reach Level 5 autonomous driving capabilities in 2019, as defined by the National Highway Traffic Safety Administration's (NHTSA) five levels of autonomous driving.

    Tes la's aggressive development with autonomous driving has influenced conventional car makers' attitudes toward electric cars and autonomous driving, and prompted a congressional assessment of how and when the technology should be regulated.

    Musk is widely credited as a key influencer in moving the automotive industry toward autonomous driving, highlighting the benefits of autonomous vehicles (including reduced fatalities in vehicle crashes, increased worker productivity, increased transportation efficiency, and job creation) and demonstrating that the technology is achievable in the near term.

    Tesla's autonomous driving code has been created and enhanced under the guidance of Musk and Tesla's Director of AI, Andrej Karpathy (Autopilot).

    The computer vision analysis used by Tesla, which includes an array of cameras on each car and real-time image processing, enables the system to make real-time observations and predictions.

    The cameras, as well as other exterior and internal sensors, capture a large quantity of data, which is evaluated and utilized to improve Autopilot programming.

    Tesla is the only autonomous car maker that is opposed to the LIDAR laser sensor (an acronym for light detection and ranging).

    Tesla uses cameras, radar, and ultrasonic sensors instead.

    Though academics and manufacturers disagree on whether LIDAR is required for fully autonomous driving, the high cost of LIDAR has limited Tesla's rivals' ability to produce and sell vehicles at a pricing range that allows a large number of cars on the road to gather data.

    Tesla is creating its own AI hardware in addition to its AI programming.

    Musk stated in late 2017 that Tesla is building its own silicon for artificial-intelligence calculations, allowing the company to construct its own AI processors rather than depending on third-party sources like Nvidia.

    Tesla's AI progress in autonomous driving has been marred by setbacks.

    Tesla has consistently missed self-imposed deadlines, and serious accidents have been blamed on flaws in the vehicle's Autopilot mode, including a non-injury accident in 2018, in which the vehicle failed to detect a parked firetruck on a California freeway, and a fatal accident in 2018, in which the vehicle failed to detect a pedestrian outside a crosswalk.

    Neuralink was established by Musk in 2016.

    With the stated objective of helping humans to keep up with AI breakthroughs, Neuralink is focused on creating devices that can be implanted into the human brain to better facilitate communication between the brain and software.

    Musk has characterized the gadgets as a more efficient interface with computer equipment, while people now operate things with their fingertips and voice commands, directives would instead come straight from the brain.

    Though Musk has made major advances to AI, his pronouncements regarding the risks linked with AI have been apocalyptic.

    Musk has called AI "humanity's greatest existential danger" and "the greatest peril we face as a civilisation" (McFarland 2014).

    (Morris 2017).

    He cautions against the perils of power concentration, a lack of independent control, and a competitive rush to acceptance without appropriate analysis of the repercussions.

    While Musk has used colorful terminology such as "summoning the devil" (McFarland 2014) and depictions of cyborg overlords, he has also warned of more immediate and realistic concerns such as job losses and AI-driven misinformation campaigns.

    Though Musk's statements might come out as alarmist, many important and well-respected figures, including as Microsoft cofounder Bill Gates, Swedish-American scientist Max Tegmark, and the late theoretical physicist Stephen Hawking, share his concern.

    Furthermore, Musk does not call for the cessation of AI research.

    Instead, Musk supports for responsible AI development and regulation, including the formation of a Congressional committee to spend years studying AI with the goal of better understanding the technology and its hazards before establishing suitable legal limits.


    ~ Jai Krishna Ponnappan

    Find Jai on Twitter | LinkedIn | Instagram


    You may also want to read more about Artificial Intelligence here.



    See also: 


    Superintelligence; Technological Singularity; Workplace Automation.



    References & Further Reading:


    Moravec, Hans. 1988. Mind Children: The Future of Robot and Human Intelligence. Cambridge, MA: Harvard University Press.

    Moravec, Hans. 1999. Robot: Mere Machine to Transcendent Mind. Oxford, UK: Oxford University Press.

    Moravec, Hans. 2003. “Robots, After All.” Communications of the ACM 46, no. 10 (October): 90–97.

    Pinker, Steven. 2007. The Language Instinct: How the Mind Creates Language. New York: Harper.




    What Is Artificial General Intelligence?

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