Web Learning Tools Research - version J351
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Hits: 341
BBC Reports on the "Noby" Child Robot
The "Noby" Child-like Robot learns more or less as infants learn. It is the product of the JEAP: Jst Erato Asada Project based in Japan.
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"Noby" - The Jst Erato Asada Project
"Noby" stands for "not a real baby". The Noby robot presents infant human behavior. It then attempts to achieve typical human child development using oral, visual, and tactile sensors on the robot and artificially intelligent software. The AI software learns apparently in the ways behaviorial scientists have determined infants learn from their environment. "JEAP" is a Japanese project. The story is care of the BBC News: http://news.bbc.co.uk/2/hi/world/10318745.stm
Hits: 362
AI in Action: an IBM AI program plays Jeopardy
In the New York Time's Sunday Magazine of June 20, 2010, this article appears, entitled "What is I.B.M. Watson?". In brief, IBM Watson is an online AI program, available to the public, which learns from the people who use it. In particular "Watson" can play the USA Television Game "Jeopardy" with the online program users. The program learns more popular culture trivia, and popular "common knowledge", questions and the appropriate answers to the questions the more the human users play the Jeopardy game with it.
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The Wolfram Alpha Project
The Wolfram Alpha project is a web site front-end (i.e. user-interface) for an artificial intelligence program that is learning how we humans solve complicated mathematical problems. For the record, AI programs that performed simple logical reasoning and solved simple algebra equations existed in the 1980s. Wolfram.com has offered the excellent "Mathematica" program for personal computers since the late 1980s. Mathematica helps college students and faculty solve some complex math problems very quickly and accurately, making their personal computers in effect "super calculators" that do much more than the math basics such as: add, subtract, multiply, and divide, calculate the square a number (i.e. multiply a number by itself), find the square root of a number, etc.
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The CYC Project
The CYC project was started at the Univ. of Texas (at Austin?) by Dr. Doug Lenat in the 1980s. The goal of the project was to let human beings teach an artificially intelligent program facts about the world and the relationships we understand to exist between different facts, objects in the world, and discrete and abstract concepts we humans take for granted -- given our respective level of formal education and real world experiences. Since the 1990s (or early 2000s?) the CYC project has been hosted and managed by Dr. Lenat's company, Cycorp, also located in Texas (USA). The end-result of this human instruction of the AI program has been an ever expanding "semantic network" of words, ideas, names of objects, names of discrete and abstract concepts, and their inter-relationships. This "semantic network" has been available for free access by other researchers in AI, by academics in general, by students of all ages, and by the general public world-wide by means of a "client program" which the end-user must first download to and install on their personal computer. The CYC "client program" then lets the end-user access the CYC database in Texas which stores the ever expanding "semantic network".
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NYT: The Never Ending Language Learning project
As of Fall 2010, the Never Ending Language Learning artificially intelligent computer system at Carnegie Mellon University, Pittsburg, PA (USA) is making significant progress in what is called "machine learning" of the semantics of human's use of natural language. See also Dr. Doug Lenat's decades old semantic network building project... (put the name here...) and the on-going several years old Wolfram xxxxx project to learn how human's solve mathematical problems.
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NYT: Robots (are) the Military's New Soldiers
This is another article in the New York Times (NYT) series "Smarter Than You Think". In an article titled "War Machines: Recruiting Robots for Combat" dated 10.11.28, the NYT in part reported the claims of a researcher in robotic artificial intelligence (AI), Dr. Ron Arkin at the Georgia Institute of Technology. Dr. Arkin claims that new military robots have better intelligence to perform military duties in combat situations than do ordinary well trained soldiers. This claim is frightening in many respects. But if it is half-way true, it has importance for what AI could now be doing and for what it sooner or later will be doing to improve Intelligent Tutoring Systems.
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NYT: IBM's Watson: Computers vs. Humans
The New York Times of 10.02.14 reported that IBM's "Watson" artificially intelligent language learning and processing system will play the most expert players that have been on the USA game show "Jeopardy". This article gives an overview of some the computer science involved, in non-technical terms. If you watch the replay of the Jeopardy show (a video stream link to be added to this site soon), please pay attention to what the computer can and cannot do and the types of questions in which the computer must pause or it has "no clue".
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PBS: What is important about IBM's Watson AI computer
In a video report first aired on the USA Public Broadcasting System (PBS) on 10.02.14, PBS Science correspondent, Miles O'Brien, discusses what is important about the "battle of wits and knowledge" that will occur on February 16, 2011, on the USA TV game show "Jeopardy". In short: IBM's latest greatest version of their "Watson" artificially intelligent (AI) computing system will compete with the best ever Jeopardy show contestants on live television. "Watson" in a previous less smart state of AI called "Deep Blue" won a second chess match with Grand Master Gary Kasparov in 1997. This was the first time an AI computer won a chess match with a human chess master. Apparently playing Jeopardy is much more difficult than playing chess.
Hits: 341
PBS Nova: Watson: The Smartest Machine On Earth
The USA Public Broadcasting System aired this 52 minutes long television show in the Nova series on 11.02.09. The host and various computer scientists discuss in very general non-technical terms how the I.B.M. artificially intelligent machine "Watson" has been taught to play the TV game show "Jeopardy" better than the two most expert human players of that game. If "Watson" can learn to play Jeopardy and soon will be taught to give expert medical advice, it also can be taught the rudiments of the knowledge and skill sets to be acquired by K-12 students in the USA. Then it can be taught to teach that knowledge and those skills.
Hits: 348
NYT: IBM's Watson is a Natural at playing Jeopardy
The New York Times of 11.02.17 reported in very simple terms how the I.B.M. artificially intelligent computer called "Watson" plays the USA TV game show "Jeopardy" as "naturally" -- and better than -- as do human expert players of the game.
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PBS: the limits of Watson: Congressman vs. The Machine
If only for the impressionable children, someone needed to put I.B.M.'s "Watson" artificially intelligent computer system to a better test than "just" playing Jeopardy. So a US Congressman did just that.
Hits: 318
SFGate: BookLamp.org to be the Pandora of Books
Like the Pandora online music-that-best-suits-you web site, BookLamp.org probably is using simplistic artificially intelligent software in their search engine to select the books each user would most like to browse and to read. What interests this PI more is that the AI-enhanced search engine could be modified to search for books and articles that are not "light just-for-fun reading" for the user, but are "serious reading" including academic and technical reading. Too bad the AI search engine specifications and source code are not yet free open source. SFGate 11.08.16
Hits: 322
BookLamp.org web site
The BookLamp.org web site, which debuted 11.08.16 in the San Francisco Bay Area, offers an artificially intelligent search engine to help a user find books that most suit his or her reading interests. Very much like the online Pandora web site for music lovers, as more and more human beings use the BookLamp AI search engine, the AI software part will learn better what are the most important attributes of a book for each user. Then it will provide better and better "books that you, and just you, most like" search results.
Hits: 291
BBC: Supercomputer Predicts 2011 Arab Spring Revolutions
The BBC reported 11.09.09 that supercomputer has predicted (after the fact) the 2011 Arab Spring revolutions in the middle east and across northern Africa. Better late than never suggests soon predictions will be before the fact.
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