AUSTIN (KXAN) – A computer science professor at the University of Texas at Austin stopped by KXAN to talk about his research on computer gaming and the human brain. Dr. Risto Miikkulainen is studying the brain to figure out how it works and translate that knowledge to making better computer games.
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.
Should we heed the warnings of movies such as ‘Terminator Genisys’ and the TV show ‘Humans’?
Every year, the Texas Exes Alcalde asks UT alumni to vote on their favorite UT professors for a teaching award called the "Texas 10." This year, UT Computer Science is proud to have our own Dr. Inderjit Dhillon represented among the winners. This prestigious award comes on the heels of Dhillon being named 2014 Fellow of the Association for Computing Machinery in recognition of outstanding research. The story below is a profile of a professor who has achieved remarkable success both in his research and in the classroom.
This month marks the 50th Anniversary of Moore's Law, an observation that every couple of years, computer chip manufacturers manage to squeeze twice as many transistors onto a computer chip. Because transistors are the tiny on-off switches that perform calculations and temporarily store information, Moore’s Law also embodies the exponential increase in raw computing power that has unleashed a blizzard of tech innovations.