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July 18, 2006
Scientists Are Beginning to Speak of "Human-Level Artificial Intelligence" Without Blushing
The singularity, man. (NYT link. Here's the good stuff:)
Though most of the truly futuristic projects are probably years from the commercial market, scientists say that after a lull, artificial intelligence has rapidly grown far more sophisticated. Today some scientists are beginning to use the term cognitive computing, to distinguish their research from an earlier generation of artificial intelligence work. What sets the new researchers apart is a wealth of new biological data on how the human brain functions.
“There’s definitely been a palpable upswing in methods, competence and boldness,” said Eric Horvitz, a Microsoft researcher who is president-elect of the American Association for Artificial Intelligence. “At conferences you are hearing the phrase ‘human-level A.I.,’ and people are saying that without blushing.”
Cognitive computing is still more of a research discipline than an industry that can be measured in revenue or profits. It is pursued in various pockets of academia and the business world. And despite some of the more startling achievements, improvements in the field are measured largely in increments: voice recognition systems with decreasing failure rates, or computerized cameras that can recognize more faces and objects than before.
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Another well-known researcher is Robert Hecht-Nielsen, who is seeking to build an electronic butler called Chancellor that would be able to listen, speak and provide in-home concierge services. He contends that with adequate resources, he could create such a machine within five years.
Although some people are skeptical that Mr. Hecht-Nielsen can achieve what he describes, he does have one successful artificial intelligence business under his belt. In 1986, he founded HNC Software, which sold systems to detect credit card fraud using neural network technology designed to mimic biological circuits in the brain. HNC was sold in 2002 to the Fair Isaac Corporation, where Mr. Hecht-Nielsen is a vice president and leads a small research group.
Last year he began speaking publicly about his theory of “confabulation,” a hypothesis about the way the brain makes decisions. At a recent I.B.M. symposium, Mr. Hecht-Nielsen showed off a model of confabulation, demonstrating how his software program could read two sentences from The Detroit Free Press and create a third sentence that both made sense and was a natural extension of the previous text.
For example, the program read: “He started his goodbyes with a morning audience with Queen Elizabeth II at Buckingham Palace, sharing coffee, tea, cookies and his desire for a golf rematch with her son, Prince Andrew. The visit came after Clinton made the rounds through Ireland and Northern Ireland to offer support for the flagging peace process there.”
The program then generated a sentence that read: “The two leaders also discussed bilateral cooperation in various fields.”
It should be noted, though, that the program always says that. It just seems to work with anything.
...
At the moment, the Stanford team is working on the first steps necessary to make the robot they are building function well in an American household. The team is focusing on systems that will consistently recognize standard doorknobs and is building robot hands to open doors.
“It’s time to build an A.I. robot,” said Andrew Ng, a Stanford computer scientist and a leader of the project, called Stanford Artificial Intelligence Robot, or Stair. “The dream is to put a robot in every home.”
H/t Allah at Hot Air, where I finally get to listen to some of Michelle's Vents.