04/06/2017 -
In 1960, the physicist Eugene Wigner wrote a famous essay titled “The Unreasonable Effectiveness of Mathematics in the Natural Sciences” in which he explored the question of why mathematics is so remarkably useful in the natural sciences.
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09/01/2016 -
Original article: CNS News | By Marc Airhart
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.
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06/17/2016 -
College of Natural Sciences | Point of Discovery
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.
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05/16/2016 -
Original article by College of Natural Sciences
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.
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03/21/2016 -
In addition to his role as a professor, UT Computer Science’s Robert van de Geijn is the Director of the ICES’ Science of High-Performance Computing (SHPC) Group.
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03/09/2016 -
Source: NEWS from College of Natural Sciences
First the robots successfully challenged the chess masters, then the Jeopardy champions. Now comes a match-up for a new generation.
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02/16/2016 -
Professor Peter Stone has been selected as the recipient of the 2016 ACM/SIGAI Autonomous Agents Research Award. Stone's work is exceptional in both its breadth and depth in multiagent systems. Some of his most influential work has been in reinforcement learning and multiagent learning as applied to robot soccer, autonomous traffic management, and trading agents.
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