Computer scientist Scott Aaronson of The University of Texas at Austin has been selected as a 2017 Simons Investigator in Theoretical Computer Science by the Simons Foundation for his work in quantum computation.
Two undergraduate students at the University of Texas at Austin and their faculty co-authors have won a best paper award from the Association for Computing Machinery. They presented their paper, which focuses on making 3D printing more efficient, at the Genetic and Evolutionary Computation Conference on July 18. Their paper was one of two nominated in the Real World Applications category.
Quantum computers might sound like science fiction. A fully functioning quantum computer could complete calculations in a matter of seconds that would take a conventional computer millions of years to process.
Kristen Grauman, associate professor in the Department of Computer Science, has been inducted into The University of Texas at Austin's respected Academy of Distinguished Teachers for 2017.
At its annual meeting today, the Austin Chamber of Commerce recognized the chair of the Department of Computer Science for his outstanding contributions toward improving the local technology sector.
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).
Computer scientist David Zuckerman of The University of Texas at Austin has been selected as a 2016 Simons Investigator in Theoretical Computer Science by the Simons Foundation for his work in pseudorandomness and randomness extraction.
As the summer movie season kicks into high gear, we talk with a scientist about some of the challenges in simulating the way everyday objects behave on the big screen through computer generated imagery (CGI). Etienne Vouga's computer simulations have helped bring to life a wizard's hair in The Hobbit and clothing in Tangled.
With an advance that one cryptography expert called a "masterpiece," University of Texas at Austin computer scientists have developed a new method for producing truly random numbers, a breakthrough that could be used to encrypt data, make electronic voting more secure, conduct statistically significant polls and more accurately simulate complex systems such as Earth's climate.
Brent Waters of The University of Texas at Austin has been selected to receive the Grace Murray Hopper Award from the Association for Computing Machinery (ACM). This award recognizes the outstanding young computer professional of the year for a recent major technical or service contribution that was made at 35 years of age or less.
First the robots successfully challenged the chess masters, then the Jeopardy champions. Now comes a match-up for a new generation.
Nicholas Cobb, a second-year computer science student, has won national recognition repeatedly for his work with a charitable organization he started at the age of 12. Most recently, he traveled to New York for recognition at the 2015 Nickelodeon HALO Awards.
How do Netflix or Facebook know which movies you might like or who you might want to be friends with?
Here's a hint: It starts with a few trillion data points and involves some complicated math and a lot of smart computer programming.
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