Friday, June 18, 2010
What Is I.B.M.’s Watson?
"This is the quintessential sort of clue you hear on the TV game show “Jeopardy!” It’s witty (the clue’s category is “Postcards From the Edge”), demands a large store of trivia and requires contestants to make confident, split-second decisions. This particular clue appeared in a mock version of the game in December, held in Hawthorne, N.Y. at one of I.B.M.’s research labs. Two contestants — Dorothy Gilmartin, a health teacher with her hair tied back in a ponytail, and Alison Kolani, a copy editor — furrowed their brows in concentration. Who would be the first to answer?
Neither, as it turned out. Both were beaten to the buzzer by the third combatant: Watson, a supercomputer."
Read the entire NY Times article by clicking on the title bar.
Friday, May 16, 2008
The Ten Smartest Animals
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Tuesday, April 29, 2008
Memory Training Shown to Turn Up Brainpower
"A new study has found that it may be possible to train people to be more intelligent, increasing the brainpower they had at birth.
Until now, it had been widely assumed that the kind of mental ability that allows us to solve new problems without having any relevant previous experience — what psychologists call fluid intelligence — is innate and cannot be taught (though people can raise their grades on tests of it by practicing).
But in the new study, researchers describe a method for improving this skill, along with experiments to prove it works.
The key, researchers found, was carefully structured training in working memory — the kind that allows memorization of a telephone number just long enough to dial it. This type of memory is closely related to fluid intelligence, according to background information in the article, and appears to rely on the same brain circuitry. So the researchers reasoned that improving it might lead to improvements in fluid intelligence.
First they measured the fluid intelligence of four groups of volunteers using standard tests. Then they trained each in a complicated memory task, an elaborate variation on Concentration, the child’s card game, in which they memorized simultaneously presented auditory and visual stimuli that they had to recall later.
The game was set up so that as the participants succeeded, the tasks became harder, and as they failed, the tasks became easier. This assured a high level of difficulty, adjusted individually for each participant, but not so high as to destroy motivation to keep working. The four groups underwent a half-hour of training daily for 8, 12, 17 and 19 days, respectively. At the end of each training, researchers tested the participants’ fluid intelligence again. To make sure they were not just improving their test-taking skills, the researchers compared them with control groups that took the tests without the training.
The results, published Monday in The Proceedings of the National Academy of Sciences, were striking. Although the control groups also made gains, presumably because they had practice with the fluid intelligence tests, improvement in the trained groups was substantially greater. Moreover, the longer they trained, the higher their scores were. All performers, from the weakest to the strongest, showed significant improvement.
“Intelligence has always been considered principally an immutable inherited trait,” said Susanne M. Jaeggi, a postdoctoral fellow in psychology at the University of Michigan and a co-author of the paper. “Our results show you can increase your intelligence with appropriate training.”
Why did the training work? The authors suggest several aspects of the exercise relevant to solving new problems: ignoring irrelevant items, monitoring ongoing performance, managing two tasks simultaneously and connecting related items to one another in space and time.
No one knows how long the gains will last after training stops, Dr. Jaeggi said, and the experiment’s design did not allow the researchers to determine whether more training would continue to produce further gains."
The article is linked here.
Sunday, September 09, 2007
What will happen when machines outthink us?
In a similar way, according to futurists gathered Saturday for a weekend conference, information technology is hurtling toward a point where machines will become smarter than their makers. If that happens, it will alter what it means to be human in ways almost impossible to conceive, they say.
"The Singularity Summit: AI and the Future of Humanity" brought together hundreds of Silicon Valley techies and scientists to imagine a future of self-programming computers and brain implants that would allow humans to think at speeds nearing today's microprocessors.
Artificial intelligence researchers at the summit warned that now is the time to develop ethical guidelines for ensuring these advances help rather than harm.
"We and our world won't be us anymore," Rodney Brooks, a robotics professor at the Massachusetts Institute of Technology, told the audience. When it comes to computers, he said, "who is us and who is them is going to become a different sort of question."
Eliezer Yudkowsky, co-founder of the Palo Alto-based Singularity Institute, which organized the summit, focuses his research on the development of so-called "friendly artificial intelligence." His greatest fear, he said, is that a brilliant inventor creates a self-improving but amoral artificial intelligence that turns hostile.
T-minus 22 years?
The first use of the term "singularity" to describe this kind of fundamental technological transformation is credited to Vernor Vinge, a California mathematician and science-fiction author.
High-tech entrepreneur Ray Kurzweil raised the profile of the singularity concept in his 2005 book "The Singularity is Near," in which he argues that the exponential pace of technological progress makes the emergence of smarter-than-human intelligence the future's only logical outcome.
Kurzweil, director of the Singularity Institute, is so confident in his predictions of the singularity that he has even set a date: 2029.
Most "singularists" feel they have strong evidence to support their claims, citing the dramatic advances in computing technology that have already occurred over the last 50 years.
In 1965, Intel co-founder Gordon Moore accurately predicted that the number of transistors on a chip should double about every two years. By comparison, singularists point out, the entire evolution of modern humans from primates has resulted in only a threefold increase in brain capacity.
With advances in biotechnology and information technology, they say, there's no scientific reason that human thinking couldn't be pushed to speeds up to a million times faster.
Is the ‘nerdocalypse’ near?
Some critics have mocked singularists for their obsession with "techno-salvation" and "techno-holocaust" _ or what some wags have called the coming "nerdocalypse." Their predictions are grounded as much in science fiction as science, the detractors claim, and may never come to pass.
But advocates argue it would be irresponsible to ignore the possibility of dire outcomes.
"Technology is heading here. It will predictably get to the point of making artificial intelligence," Yudkowsky said. "The mere fact that you cannot predict exactly when it will happen down to the day is no excuse for closing your eyes and refusing to think about it.""