News

A panel of academic and industrial thinkers has looked ahead to 2030 to forecast how advances in artificial intelligence (AI) might affect life in a typical North American city — in areas diverse as transportation, healthcare and education — and spur discussion of how to ensure the safe, fair and beneficial development of these rapidly emerging technologies.

Peter Stone, a professor of computer science at The University of Texas at Austin, led a groundbreaking study on artificial intelligence (AI) being released today. The study, produced by a panel of 17 experts from around the world, looks at how specialized applications of AI might affect life in a typical North American city by the year 2030.

The UT Austin Villa robot soccer team, led by University of Texas at Austin computer science professor Peter Stone, returned from the 2016 RoboCup competition in Leipzig, Germany as the world champions in the 3D Simulation league and with an impressive second-place win in the Standard Platform League (SPL).

​The Hook, a weekly video series by the Texas Exes alumni association, has covered three CNS research stories in the past couple of months. ​The research spotlights feature scientists from diverse areas such as computer science and marine biology.

First the robots successfully challenged the chess masters, then the Jeopardy champions. Now comes a match-up for a new generation.

A computer science team at The University of Texas at Austin has found that robots evolve more quickly and efficiently after a virtual mass extinction modeled after real-life disasters such as the one that killed off the dinosaurs. Beyond its implications for artificial intelligence, the research supports the idea that mass extinctions actually speed up evolution by unleashing new creativity in adaptations.

The Austin Villa Robot Soccer Team participated in two competitions in the RoboCup 2015 competition in Hefei, China: the Standard Platform League (SPL) and the 3D simulation league.