UT Prof Pioneers ‘Intersections of the Future’
02/21/2012 - KUT | Andrew Uhler
02/21/2012 - KUT | Andrew Uhler
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.
02/06/2012 - The future looks like this: You are sitting in the backseat of the car drinking coffee and reading the news on your tablet.
11/13/2011 - As an educator, associate computer science professor Peter Stone has a unique perspective on who, or what, can learn. Stone has spent his time at UT working with students to develop intelligent robots capable of learning and adapting to their environments.
09/29/2011 - The Daily Texan features computer science professor Peter Stone.
09/21/2011 - Computer science professor Peter Stone has been named a 2011 Yahoo! Faculty Research and Engagement Program (FREP) recipient and has been granted a $10,000 gift for his proposal titled “Testing a Liquidity Sensitive Market Maker for a Prediction Market on the UT Austin CS Building Opening.”
07/28/2011 - RoboCup Remix from Texas Science on Vimeo. The video footage is from the second half of the championship game in the 3-D Simulation league in RoboCupSoccer 2011. UT Austin Villa won the game, 4-0, over a team from Changzhou Institute of Technology in China. The audio track is “humm ok,” by Gablé (Creative Commons).
07/19/2011 - AUSTIN, Texas—UT Austin Villa, a team of programmers led by University of Texas at Austin computer scientists Peter Stone and Patrick MacAlpine, has won the 2011 RoboCup Soccer championships in the 3-D simulation division. The UT Austin Villa team beat 21 other teams from 11 nations for the trophy. In the process they scored 136 goals and conceded none. The annual tournament, which was founded in 1997 to foster innovation in artificial intelligence and robotics research, was held last week in Istanbul, Turkey.
05/16/2011 - Researchers at Yale and the University of Texas used a neural network -- a computer brain -- to test out medical theories of what causes schizophrenia. The result was a computer brain that can't tell the difference between stories about itself and fanciful stories about gangsters, and claims responsibility for terrorist acts.
05/09/2011 - Computer simulations of malfunctioning brains may be the key to understanding schizophrenia and other conditions. A research team including computer scientists at the University of Texas at Austin and a professor of psychiatry at Yale have been testing various theories of how schizophrenic brains misfire as they process information. People with schizophrenia often have trouble repeating different stories, for instance, frequently combining elements of separate stories and inserting themselves into the narrative.