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HISTORY - General Index by Topic to AI in the news |
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November 15, 2005: Unto us the Machine is born. By Kevin Kelly. The Sydney Morning Herald [originally published in Wired: We Are the Web; Issue 13.08 - August 2005]. "The web continues to evolve from an entity ruled by mass media and mass audiences to one ruled by messy media and messy participation. How far can this frenzy of creativity go? ... What matters is the network of social creation, the community of collaborative interaction that futurist Alvin Toffler called prosumption. ... The real transformation under way is more akin to what Sun Microsystem's John Gage had in mind in 1988 when he famously said: 'The network is the computer.' His phrase sums up the destiny of the web: as the operating system for a megacomputer that encompasses the internet, all its services, all peripheral chips and affiliated devices from scanners to satellites, and the billions of human minds entangled in this global network. This gargantuan Machine already exists in a primitive form. In the coming decade, it will evolve into an integral extension not only of our senses and bodies, but our minds. ... This planet-sized computer is comparable in complexity to a human brain. Both the brain and the web have hundreds of billions of neurons, or webpages. ... Danny Hillis, a computer scientist who once claimed he wanted to make an AI 'that would be proud of me', has invented massively parallel supercomputers, in part to advance us in that direction. He now believes the first real AI will emerge not in a stand-alone supercomputer such as IBM's proposed 23-teraflop Blue Brain, but in the vast tangle of the global Machine. ... Computing pioneer Vannevar Bush outlined the web's core idea - hyperlinked pages - in 1945, but the first person to try to build on the concept was a freethinker named Ted Nelson, who in 1965 envisioned his own scheme, which he called 'Xanadu'." November 8, 2005: Research money crunch in the U.S.By Marguerite Reardon. CNET News.com. "An outspoken group of information and communications technology innovators is worried that the United States is falling behind the rest of the world in technological innovation because fewer dollars are being allocated to long-term research. ... For much of the 20th century, major breakthroughs in technology came from large research laboratories like AT&T;'s Bell Laboratories, Xerox's Palo Alto Research Center (PARC) , and IBM's Watson Research Center. These research facilities operated much like national laboratories, making their discoveries and innovations available to anyone for modest license fees. ... In the early 1960s, the U.S. government started pouring money into information technology and communications research. It formed the Defense Advanced Research Projects Agency to fund high-risk, high-reward research. ... Today, DARPA and the National Science Foundation fund a large portion of the academic IT research in this country, say research experts. ... 'Traditionally funding in computer sciences has come from the U.S. government,' [Leonard] Kleinrock said. 'And it's contributed to some remarkable advances, such as the Internet and artificial intelligence. They (the government) used to step back and with some direction let you go develop something new. But that's not the case today. And DARPA is no longer thinking long-range.'" November 5, 2005: The robot that thinks like you... Scientists built a robot that thinks like we do and set it loose to explore the world. New Scientist discovers what happened next By Douglas Fox. New Scientist (subscription req'd.; Issue 2524). "The infant I am watching wander around its rather spartan playpen in the Neurosciences Institute (NSI) in La Jolla, California, is a more limited creature. It is a trashcan-shaped robot called Darwin VII, and it has just 20,000 brain cells. Despite this, it has managed to master the abilities of a 18-month-old baby – a pretty impressive feat for a machine. ... Darwin VII is the fourth in a series of robots that Jeff Krichmar and his colleagues at NSI have created in a quest to better understand how our own brains work. ... The idea of an artificial neural network that could perform computations was proposed as long ago as 1943, by Warren McCullough and Walter Pitts at the University of Illinois. ... [I]n the past few years, neuroscientists and AI researchers have started collaborating more closely, and their labours are beginning to bear fruit. Their conclusions challenge two decades of research into artificial neural networks." November 4, 2005: Amazon creates artificial artificial intelligence. By Kristen Millares Bolt. The Seattle Post-Intelligencer. "Amazon.com has launched a new program called Amazon Mechanical Turk, through which a computer can ask humans to perform tasks that it can’t do itself. The name Mechanical Turk dates back to 1769, when a Hungarian nobleman created a wooden robot-like mannequin that could play chess -- even defeating chess fanatic Benjamin Franklin in Paris. ... With Amazon Mechanical Turk, Amazon plans to supply 'artificial artificial intelligence' that connect programs needing the human touch with humans, such as the simple task of identifying objects in photographs (which humans can do better than computers). Examples of what humans can do for computers? Evaluate beauty, translate text and find specific objects in photos." October 24, 2005: Making computer work like a brain - Rutgers part of military project. By Kevin Coughlin. The Star-Ledger & NJ.com. "Rutgers University in Newark is among 15 institutions and companies sharing $9.5 million in grants for the first year of DARPA's Biologically-Inspired Cognitive Architectures program. When the field of artificial intelligence took shape in the 1950s -- spurred by pioneers at Bell Labs and Princeton University -- academics expected to build machines that reason and think like people, a branch of study later known as 'strong A.I.' But the task proved daunting and interest waned in the 1980s, starting a bleak 'A.I. winter.' Neuroscience research, meanwhile, has flourished. Techniques such as functional Magnetic Resonance Imaging, which tracks blood flow in the brain, have yielded clues about what each region of the brain actually does. 'We're saying there might be enough new information to build up computer models of how the brain works,' said [David] Gunning, a computer scientist and psychologist managing the DARPA project. ... DARPA is giving [Rutgers neuroscientist Mark] Gluck $172,000 to create a model of how memories begin in the hippocampus, a region of the brain within the temporal lobe on each side of the head. The hippocampus acts like a filter, tossing some tidbits and sending others for storage elsewhere. ... Ultimately, the Pentagon seeks smarter machines to fight wars with fewer soldiers. ... Civilian spinoffs could include smarter robots to clean your house or drive your car, or truly helpful programs to sift your communications. ... But the project troubles some people. Smart-yet-unfeeling war machines could make the battlefield 'an even nastier place,' says bioethicist Arthur Caplan of the University of Pennsylvania."
>>> Cognitive Science, Neural Networks & Connectionist Systems, Machine Learning, Military, Applications, Ethical & Social Implications, Emotions, AI Overview, History October 18, 2005: 1965 - Key to the computer's future reflections. From the AustralianIT archives. " Men: key to the computer's future - Experts argue vehemently on the long-range effects of computers - whether computers will merely upset our weekly rhythm of work and leisure of five days on and two days off, or lead on to mass unemployment and disaster. As the controversy grows one thing is obvious - all arguments rage over and around apparently malevolent machines. But a computer is a lifeless thing, a structure of electronic components in steel boxes which look like broom cupboards." October 17, 2005: Gates donates $15 million to museum - Mountain View institution records computing history. By Benjamin Pimentel. San Francisco Chronicle & SFGate.com. "Bill Gates is donating $15 million to the Computer History Museum, the biggest gift in the history of the Silicon Valley institution, which maintains the world's largest collection of computing artifacts. The gift from the Bill & Melinda Gates Foundation will help the Mountain View museum reach its goal of raising $125 million for educational programs and a long-term endowment. ... The museum will also use the Gates donation for its 'Timeline of Computing History,' an ambitious interactive exhibit that seeks to chronicle the history of computing and its impact on the human experience. ... The museum began in Boston in 1979 under the name Digital Computer Museum. It moved to Silicon Valley in 1996." October 10, 2005: Autonomous car comes in first place. By Mandy Kovach. The Stanford Daily. "The Stanford Racing Team's driverless Volkswagen Touareg, fondly dubbed Stanley, braved the harsh terrain of the Mojave Desert, winning the Defense Advanced Research Projects Agency (DARPA) Grand Challenge, a race to develop fully autonomous vehicles, this past Saturday. Stanley completed the 132-mile course with a time of 6:53:08 -- averaging over 19 miles per hour on the course -- and bringing home the $2 million prize. According to Computer Science Prof. Sebastian Thrun, the racing team's project leader, this success not only means a lot in terms of defense technology, but it also changes the face of modern transportation."
>>> Autonomous Vehicles, Robots, Military, Applications, Grand Challenges, Competitions (@ Resources for Students), History, Ethical & Social Implications October 8, 2005: Stanford robotic vehicle finishes $2 million Mojave Desert race. By Alicia Chang. The Associated Press / available from SFGate.com. "A customized Volkswagen SUV entered by Stanford University became the first autonomous vehicle to cross the finish line of a $2 million Pentagon-sponsored race across the rugged Mojave Desert on Saturday without help from a human driver or remote control. The race announcer did not immediately declare a winner because 22 out of the 23 robots left the starting line at staggered times at dawn, racing against the clock rather than each other. ... Stanley finished the course in less than 7 1/2 hours. The unmanned vehicles must use their computer brains and sensing devices to follow a programmed route and avoid hitting obstacles that may doom their chances."
>>> Autonomous Vehicles, Robots, Military, Applications, Grand Challenges, Competitions (@ Resources for Students), History, Ethical & Social Implications
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