http://www.newscientist.com/channel/info-tech/mg18624961.700
23 April 2005
In futurology, a technological singularity is a predicted point in the development of a civilisation at which technological progress accelerates beyond the ability of present-day humans to fully comprehend or predict. The singularity can more specifically refer to the advent of smarter-than-human intelligence, and the cascading technological progress assumed to follow.
CLEVER computers are everywhere. From robotic lawnmowers to intelligent lighting, washing machines and even car engines that self-diagnose faults, there's a silicon brain in just about every modern device you can think of. But can you honestly call any machine intelligent in a meaningful sense of the word?
In the next few months, after being patiently nurtured for 22 years, an artificial brain called Cyc (pronounced "psych") will be put online for the world to interact with. And it's only going to get cleverer. Opening Cyc up to the masses is expected to accelerate the rate at which it learns, giving it access to the combined knowledge of millions of people around the globe as it hoovers up new facts from web pages, webcams and data entered manually by anyone who wants to contribute.
Crucially, Cyc's creator says it has developed a human trait no other AI system has managed to imitate: common sense. "I believe we are heading towards a singularity and we will see it in less than 10 years," says Doug Lenat of Cycorp, the system's creator
The driving philosophy behind Cyc is that it should be able to recognise that in the phrase "the pen is in the box", the pen is a small writing implement, while in the sentence "the box is in the pen", the pen is a much larger corral. Lenat reels off examples where such common-sense distinctions can make all the difference.
When Cyc goes live, users should expect to get answers to their questions only some of the time because it won't yet have the common sense to understand every question or have the knowledge to answer it. But with the critical mass looming, in three to five years users should expect to get an answer most of the time. Lenat has pledged to make access to Cyc freely available, allowing developers of other AI systems to tap into its fund of common sense to improve the performance of their own systems.
Of course if Lenat's prediction proves true, by the time Mitchell's work bares fruit, Cyc may well have reached the singularity. The history of AI suggests that is unlikely, but after decades of faltering starts and failed promises, things are beginning to change. Finally, machines might soon start to think for themselves.
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A brief history of AI
1936 Alan Turing completes his paper "On computable numbers" which paves the way for artificial intelligence and modern computing
1942 Isaac Asimov sets out his three laws of robotics in the book I, Robot
1943 Warren McCulloch and Walter Pitts publish "A logical calculus of the ideas immanent in nervous activity" to describe neural networks that can learn
1950 Claude Shannon publishes an analysis of chess playing as a search process
1950 Alan Turing proposes the Turing test to decide whether a computer is exhibiting intelligent behaviour
1956 John McCarthy coins the phrase "artificial intelligence" at a conference at Dartmouth College, New Hampshire
1956 Demonstration of the first AI program, called Logic Theorist, created by Allen Newell, Cliff Shaw and Herbert Simon at the Carnegie Institute of Technology, now Carnegie Mellon University
1956 Stanislaw Ulam develops "Maniac I", the first chess program to beat a human player, at the Los Alamos National Laboratory
1965 Herbert Simon predicts that "by 1985 machines will be capable of doing any work a man can do"
1966 Joseph Weizenbaum, a computer scientist at the Massachusetts Institute of Technology, develops Eliza, the world's first chatbot
1969 Shakey, a robot built by the Stanford Research Institute in California, combines locomotion, perception and problem solving
1975 John Holland describes genetic algorithms in his book Adaptation in Natural and Artificial Systems
1979 A computer-controlled autonomous vehicle called the Stanford Cart, built by Hans Moravec at Stanford University, successfully negotiates a chair-filled room
1982 The Japanese Fifth Generation Computer project to develop massively parallel computers and a new artificial intelligence is born
Mid-1980s Neural networks become the new fashion in AI research
1992 Doug Lenat forms Cycorp to continue work on Cyc, an expert system that's learning common sense
1997 The Deep Blue chess program beats the then world chess champion, Garry Kasparov
1997 Microsoft's Office Assistant, part of Office 97, uses AI to offer customised help
1999 Remote Agent, an AI system, is given primary control of NASA's Deep Space 1 spacecraft for two days, 100 million kilometres from Earth
2001 The Global Hawk uncrewed aircraft uses an AI navigation system to guide it on a 13,000-kilometre journey from California to Australia
2004 In the DARPA Grand Challenge to build an intelligent vehicle that can navigate a 229-kilometre course in the Mojave desert, all the entrants fail to complete the course
2005 Cyc to go online
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