05/23/2012 -
Professor Peter Stone has been elected as a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) for his significant contributions to machine learning, multiagent systems, and robotics, and pioneering applications in robot soccer, trading agents, and autonomous driving domains. Peter's main research interest in artificial intelligence is understanding how to best create complete intelligent agents.
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05/17/2012 -
InnovationNewsDaily | Jeremy Hsu, Senior Writer
Ordinary Americans can't buy intelligent, self-driving cars just yet, but the technology could someday revolutionize one of the nation's most common road rituals—the morning and evening commutes that bookend the workday for millions of people.
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03/23/2012 -
Reuters
Computer scientists at the University of Texas in Austin are developing intersections of the future, designed to accommodate the driverless vehicles they believe will soon take over our roads. The intersection will have no traffic lights and no stop signs, just computer programs that will talk directly to each car on the road.
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03/04/2012 -
Austin American-Statesman | By Cristina Peña
Having already designed an SUV that drives itself, a project group at the University of Texas is now working on the technological next step: an autonomous intersection that lets driverless vehicles navigate without stoplights or stop signs.
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02/21/2012 -
Discovery News | By Jesse Emspak
A computer program that reserves slots at an intersection might be a way to ease gridlock and boost safety.
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02/20/2012 -
Intersections of the future will not need stop lights or stop signs, but will look like a somewhat chaotic flow of driverless, autonomous cars slipping past one another as they are managed by a virtual traffic controller, says computer scientist Peter Stone.
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02/06/2012 -
Source: UT News | From "Driving the future of research"
The future looks like this: You are sitting in the backseat of the car drinking coffee and reading the news on your tablet.
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01/25/2012 -
Prediction markets are popular for aggregating opinions regarding the likelihood of future events by enabling people to buy and sell "shares" that indicate whether or not they think the event will happen. There has been some evidence that the market prices are reasonably accurate predictors of whether those events will actually happen.
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