Faculty

Univ. of Texas group speeds up drug discovery with supercomputers

FierceBiotechIT | By Ryan McBride

For years, drug researchers have tapped computers to take serendipity out of the discovery equation, and a group from the University of Texas at Austin has advanced computational drug discovery further with updated image-reconstruction and modeling techniques, according to the university.

Professor Peter Stone Elected AAAI Fellow

Professor Peter Stone has been elected as a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) for his significant contributions to machine learning, multiagent systems, and robotics, and pioneering applications in robot soccer, trading agents, and autonomous driving domains.

5 Ways Self-Driving Cars Will Make You Love Commuting

Ordinary Americans can't buy intelligent, self-driving cars just yet, but the technology could someday revolutionize one of the nation's most common road rituals—the morning and evening commutes that bookend the workday for millions of people.

Research Corner: Computational Drug Discovery

Research Corner: Computational Drug Discovery

Discoveries in bioinformatics provide new therapeutic interventions to disease by replacing expensive, time-consuming physical experiments with an automated computational search. Public databases now contain experimentally determined sequence and structural information for hundreds of thousands of proteins

A tree of life grows in Texas

A tree of life grows in Texas

Tandy Warnow is working with postdoctoral fellow Kevin Liu of Rice University and Siavash Mirarab, a Ph.D. student in computer science at The University of Texas at Austin, to create smarter, faster and more accurate algorithms to apply to some of the biggest data sets ever created.

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