Nomadic Computing Speeds Up Big Data Analytics

University of Texas researcher designs novel way to analyze bigger datasets using supercomputers and machine learning algorithms.

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.

Computer Science vs. Cancer: How Precision Medicine is Turning the Tables on Cancer

There are few things as full of anxiety, heartbreak, and anguish as finding out that you or someone you love has cancer. Unfortunately, it’s not at all uncommon. By the American Cancer Society’s estimates it is expected that in the year 2015 alone, there will be 1.6 million new cancer diagnoses and nearly 600,000 deaths—or roughly 1,600 people every day. But statistics are hardly necessary to realize the enormity of the problem. So far, the road to a cure has been long and complicated and with what’s seemed like no end in sight—until recently.

Near-Perfect Computer Security May Be Surprisingly Close

WIRED Magazine | KEVIN HARTNETT |  09.13.15

IN JULY 2013 a pair of studies set the cryptography world on fire. They were posted within days of one another to an online archive where researchers share their work, and together they described a powerful new method for hiding the secrets inside software programs.

UT professor puts computer game research in context of “Pixels”

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.

Computer Scientists Find Mass Extinctions Can Accelerate Evolution

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.

Risto Miikkulainen and Jacob Schrum Win Best Paper Award

Jacob Schrum and Risto Miikkulainen won the Best Paper Award in the Digital Entertainment and Arts track at the Genetic and Evolutionary Computation Conference (GECCO). 2015 Conference for their paper on "Solving Interleaved and Blended Sequential Decision-Making Problems through Modular Neuroevolution." 

Peter Stone Wins Outstanding Paper Award

Peter Stone and his co-authors Miland Tambe and Fei Fang (both from USC) won the IJCAI 2015 Computational Sustainability Track Outstanding Paper Award for their paper titled “When Security Games Go Green: Designing Defender Strategies to Prevent Poaching and Illegal Fishing.” 

The Computational Sustainability Track "aims to apply computational techniques to the balancing of environmental, economic, and societal needs, in order to support sustainable development and a sustainable future.”

UT Austin Ranks No. 19 in World for High-Impact Research

UT News — The University of Texas at Austin is ranked No. 19 in the world for high-impact science, according to the Nature Index, which tracks publication in the world’s top research journals — the latest in a series of global rankings that recognize UT Austin among the world’s elite research universities. 

UT Austin ranks No. 8 among all U.S. universities.



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