Showing posts with label AI. Show all posts
Showing posts with label AI. Show all posts

AI Terms Glossary - ABEL.

 



Assumption Based Reasoning is supported by ABEL, a modeling language.

It is presently accessible on the World Wide Web and is written in MacIntosh Common Lisp (WWW).

Assumption Based System (ABS) is a logic system that employs Assumption Based Reasoning.


~ Jai Krishna Ponnappan

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Be sure to refer to the complete & active AI Terms Glossary here.

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AI Terms Glossary - Abduction.

 



Abduction is a kind of nonmonotone logic initially proposed in the 1870s by Charles Pierce.


It tries to quantify patterns and come up with viable hypotheses for a collection of data.


See Also: 


Deduction, Induction



~ Jai Krishna Ponnappan

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Be sure to refer to the complete & active AI Terms Glossary here.

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AI Terms Glossary - ABSTRIPS.






The ABSTRIPS software, which was derived from the STRIPS program, was created to tackle robotic placement and movement challenges.


Unlike STRIPS, it works from the most significant to the least critical difference when comparing the present and desired states.




See Also: 


Means-Ends analysis.


~ Jai Krishna Ponnappan

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Be sure to refer to the complete & active AI Terms Glossary here.

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AI Terms Glossary - Aalborg Architecture



The Aalborg architecture offers a way for calculating marginals in a belief net's join tree representation.

It is the architecture of choice for computing marginals of factored probability distributions since it handles fresh data quickly and flexibly.

However, since it simply retains the present findings rather than all of the data, it does not allow for data retraction.


See Also: 

belief net, join tree, Shafer-Shenoy Architecture.


~ Jai Krishna Ponnappan

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Be sure to refer to the complete & active AI Terms Glossary here.

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



AI Terms Glossary - A* Algorithm

 




A problem-solving strategy that enables you to use both formal and merely heuristic strategies to solve a problem.




See Also: 


Heuristics



~ Jai Krishna Ponnappan

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Be sure to refer to the complete & active AI Terms Glossary here.

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



AI Terms Glossary - AC2.

 



 AC2 is a commercial Data Mining toolset that uses classification trees as its foundation.




See Also: 


ALICE, classification tree. 


Further Reading:


http://www.alice-soft.com/products/ac2.htm


~ Jai Krishna Ponnappan

Find Jai on Twitter | LinkedIn | Instagram


Be sure to refer to the complete & active AI Terms Glossary here.

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



Artificial Intelligence - Who Was Raj Reddy Or Dabbala Rajagopal "Raj" Reddy?

 


 


Dabbala Rajagopal "Raj" Reddy (1937–) is an Indian American who has made important contributions to artificial intelligence and has won the Turing Award.

He holds the Moza Bint Nasser Chair and University Professor of Computer Science and Robotics at Carnegie Mellon University's School of Computer Science.

He worked on the faculties of Stanford and Carnegie Mellon universities, two of the world's leading colleges for artificial intelligence research.

In the United States and in India, he has received honors for his contributions to artificial intelligence.

In 2001, the Indian government bestowed upon him the Padma Bhushan Award (the third highest civilian honor).

In 1984, he was also given the Legion of Honor, France's highest honor, which was created in 1802 by Napoleon Bonaparte himself.

In 1958, Reddy obtained his bachelor's degree from the University of Madras' Guindy Engineering College, and in 1960, he received his master's degree from the University of New South Wales in Australia.

In 1966, he came to the United States to get his doctorate in computer science at Stanford University.

He was the first in his family to get a university degree, which is typical of many rural Indian households.

He went to the academy in 1966 and joined the faculty of Stanford University as an Assistant Professor of Computer Science, where he stayed until 1969, after working in the industry as an Applied Science Representative at IBM Australia from 1960 to 1963.

He began working at Carnegie Mellon as an Associate Professor of Computer Science in 1969 and will continue to do so until 2020.

He rose up the ranks at Carnegie Mellon, eventually becoming a full professor in 1973 and a university professor in 1984.

In 1991, he was appointed as the head of the School of Computer Science, a post he held until 1999.

Many schools and institutions were founded as a result of Reddy's efforts.

In 1979, he launched the Robotics Institute and served as its first director, a position he held until 1999.

He was a driving force behind the establishment of the Language Technologies Institute, the Human Computer Interaction Institute, the Center for Automated Learning and Discovery (now the Machine Learning Department), and the Institute for Software Research at CMU during his stint as dean.

From 1999 to 2001, Reddy was a cochair of the President's Information Technology Advisory Committee (PITAC).

The President's Council of Advisors on Science and Technology (PCAST) took over PITAC in 2005.

Reddy was the president of the American Association for Artificial Intelligence (AAAI) from 1987 to 1989.

The AAAI has been renamed the Association for the Advancement of Artificial Intelligence, recognizing the worldwide character of the research community, which began with pioneers like Reddy.

The former logo, acronym (AAAI), and purpose have been retained.

Artificial intelligence, or the study of giving intelligence to computers, was the subject of Reddy's research.

He worked on voice control for robots, speech recognition without relying on the speaker, and unlimited vocabulary dictation, which allowed for continuous speech dictation.

Reddy and his collaborators have made significant contributions to computer analysis of natural sceneries, job oriented computer architectures, universal access to information (a project supported by UNESCO), and autonomous robotic systems.

Reddy collaborated on Hearsay II, Dragon, Harpy, and Sphinx I/II with his coworkers.

The blackboard model, one of the fundamental concepts that sprang from this study, has been extensively implemented in many fields of AI.

Reddy was also interested in employing technology for the sake of society, and he worked as the Chief Scientist at the Centre Mondial Informatique et Ressource Humaine in France.

He aided the Indian government in the establishment of the Rajiv Gandhi University of Knowledge Technologies, which focuses on low-income rural youth.

He is a member of the International Institute of Information Technology (IIIT) in Hyderabad's governing council.

IIIT is a non-profit public-private partnership (N-PPP) that focuses on technological research and applied research.

He was on the board of directors of the Emergency Management and Research Institute, a nonprofit public-private partnership that offers public emergency medical services.

EMRI has also aided in the emergency management of its neighboring nation, Sri Lanka.

In addition, he was a member of the Health Care Management Research Institute (HMRI).

HMRI provides non-emergency health-care consultation to rural populations, particularly in Andhra Pradesh, India.

In 1994, Reddy and Edward A. Feigenbaum shared the Turing Award, the top honor in artificial intelligence, and Reddy became the first person of Indian/Asian descent to receive the award.

In 1991, he received the IBM Research Ralph Gomory Fellow Award, the Okawa Foundation's Okawa Prize in 2004, the Honda Foundation's Honda Prize in 2005, and the Vannevar Bush Award from the United States National Science Board in 2006.

Reddy has received fellowships from the Institute of Electronic and Electrical Engineers (IEEE), the Acoustical Society of America, and the American Association for Artificial Intelligence, among other prestigious organizations.


~ Jai Krishna Ponnappan

Find Jai on Twitter | LinkedIn | Instagram


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



See also: 


Autonomous and Semiautonomous Systems; Natural Language Processing and Speech Understanding.


References & Further Reading:


Reddy, Raj. 1988. “Foundations and Grand Challenges of Artificial Intelligence.” AI Magazine 9, no. 4 (Winter): 9–21.

Reddy, Raj. 1996. “To Dream the Possible Dream.” Communications of the ACM 39, no. 5 (May): 105–12.






Artificial Intelligence - Person of Interest(2011–2016), The CBS Sci-Fi Series

 



Between 2011 through 2016, the fictitious television program Person of Interest ran on CBS for five seasons.

Although the show's early episodes resembled a serial crime drama, the tale developed into a science fiction genre that probed ethical questions around artificial intelligence development.

The show's central concept revolves upon a monitoring system known as "The Machine," which was developed for the United States by millionaire Harold Finch, portrayed by Michael Emerson.

This technology was created largely to avoid terrorist acts, but it has evolved to the point where it can anticipate crimes before they happen.

However, owing to its architecture, it only discloses the "person of interest's" social security number, which might be either the victim or the offender.

Normally, each episode is centered on a single person of interest number that has been produced.

Although the ensemble increases in size over the seasons, Finch first employs ex-CIA agent John Reese, portrayed by Jim Caviezel, to assist him in investigating and preventing these atrocities.

Person of Interest is renowned for emphasizing and dramatizing ethical issues surrounding both the invention and deployment of artificial intelligence.

Season four, for example, delves deeply into how Finch constructed The Machine in the first place.

Finch took enormous pains to ensure that The Machine had the correct set of values before exposing it to actual data, as shown by flashbacks.

As Finch strove to get the settings just correct, viewers were able to see exactly what might go wrong.

In one flashback, The Machine altered its own programming before lying about it.

When these failures arise, Finch deletes the incorrect code, noting that The Machine will have unrivaled capabilities.

The Machine quickly responds by overriding its own deletion procedures and even attempting to murder Finch.

"I taught it how to think," Finch says as he reflects on the process.

All I have to do now is educate it how to be concerned." Finally, Finch is able to program The Machine successfully with the proper set of ideals, which includes the preservation of human life.

The interaction of numerous AI beings is a second key ethical subject that runs through seasons three through five.

In season three, Samaritan, a competing AI surveillance software, is built.

This system does not care about human life in the same way as The Machine does, and as a result, it causes enormous harm and turmoil in order to achieve its goals, which include sustaining the United States' national security and its own survival.

As a result of their differences, Samaritan and The Machine find themselves at odds.

The Machine finally beats Samaritan, despite the fact that the program implies that Samaritan is more powerful owing to the employment of newer technology.

This program was mainly a critical success; nevertheless, declining ratings led to its cancellation after just thirteen episodes in its fifth season.



~ Jai Krishna Ponnappan

Find Jai on Twitter | LinkedIn | Instagram


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



See also: 


Biometric Privacy and Security; Biometric Technology; Predictive Policing.



References & Further Reading:



McFarland, Melanie. 2016. “Person of Interest Comes to an End, but the Technology Central to the Story Will Keep Evolving.” Geek Wire, June 20, 2016. https://www.geekwire.com/2016/person-of-interest/.

Newitz, Annalee. 2016. “Person of Interest Remains One of the Smartest Shows about AI on Television.” Ars Technica, May 3, 2016. https://arstechnica.com/gaming/2016/05/person-of-interest-remains-one-of-the-smartest-shows-about-ai-on-television/.



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.










    What Is Artificial General Intelligence?

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