These are some fruits of the research field known as artificial intelligence, where reality is finally catching up to the science-fiction hype. A half-century after the term was coined, both scientists and engineers say they are making rapid progress in simulating the human brain, and their work is finding its way into a new wave of real-world products.
The advances can also be seen in the emergence of bold new projects intended to create more ambitious machines that can improve safety and security, entertain and inform, or just handle everyday tasks. At Stanford University, for instance, computer scientists are developing a robot that can use a hammer and a screwdriver to assemble an Ikea bookcase (a project beyond the reach of many humans) as well as tidy up after a party, load a dishwasher or take out the trash.
One pioneer in the field is building an electronic butler that could hold a conversation with its master — á la HAL in the movie “2001: A Space Odyssey” — or order more pet food.
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.
Still, there have been rapid innovations in many areas: voice control systems are now standard features in midpriced automobiles, and advanced artificial reason techniques are now routinely used in inexpensive video games to make the characters’ actions more lifelike.
A French company, Poseidon Technologies, sells underwater vision systems for swimming pools that function as lifeguard assistants, issuing alerts when people are drowning, and the system has saved lives in Europe.
Last October, a robot car designed by a team of Stanford engineers covered 132 miles of desert road without human intervention to capture a $2 million prize offered by the Defense Advanced Research Projects Agency, part of the Pentagon. The feat was particularly striking because 18 months earlier, during the first such competition, the best vehicle got no farther than seven miles, becoming stuck after driving off a mountain road.
Now the Pentagon agency has upped the ante: Next year the robots will be back on the road, this time in a simulated traffic setting. It is being called the “urban challenge.”
At Microsoft, researchers are working on the idea of “predestination.” They envision a software program that guesses where you are traveling based on previous trips, and then offers information that might be useful based on where the software thinks you are going.
Tellme Networks, a company in Mountain View, Calif., that provides voice recognition services for both customer service and telephone directory applications, is a good indicator of the progress that is being made in relatively constrained situations, like looking up a phone number or transferring a call.
Tellme supplies the system that automates directory information for toll-free business listings. When the service was first introduced in 2001, it could correctly answer fewer than 37 percent of phone calls without a human operator’s help. As the system has been constantly refined, the figure has now risen to 74 percent.
More striking advances are likely to come from new biological models of the brain. Researchers at the École Polytechnique Fédérale de Lausanne in Lausanne, Switzerland, are building large-scale computer models to study how the brain works; they have used an I.B.M. parallel supercomputer to create the most detailed three-dimensional model to date of a column of 10,000 neurons in the neocortex.
