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From the College of Natural Sciences
Building Industry Bridges: Computer Scientist Tackles New Role for Sony, While Leading at UT

Building Industry Bridges: Computer Scientist Tackles New Role for Sony, While Leading at UT

Peter Stone has been tapped by Sony Corp. to head up the U.S. branch of its new global artificial intelligence research division, called Sony AI. Photo credit: University of Texas at Austin.

In a sign of the highly competitive environment for top talent in the field of artificial intelligence (AI), the Sony Corporation this week tapped Peter Stone, a faculty member in the College of Natural Sciences at The University of Texas at Austin, to lead the newly established Sony AI in the United States.

UT Austin Launches Institute to Harness the Data Revolution

UT Austin Launches Institute to Harness the Data Revolution

Research from UT Austin professors and TRIPODS members Alex Dimakis and Eric Price shows that it is possible to learn a deep generative model that dreams images of human faces (right panel), trained by observing only occluded images (left panel). The middle panel shows a previous approach for solving this problem, that fails. [Figure from: AmbientGAN: Generative models from lossy measurements, by A. Bora, E. Price and A.G. Dimakis, ICLR 2018.]

Advances in machine learning are announced every day, but efforts to fundamentally rethink the core algorithms of AI are rare.

How Do Computers Learn? Sometimes by Driving Cars and Spinning Tunes

How Do Computers Learn? Sometimes by Driving Cars and Spinning Tunes

​Members of The University of Texas at Austin's Learning Agents Research Group have been a resource for members of the media about how to teach artificial intelligence systems to learn.

Artificial Intelligence System Gives Fashion Advice

Artificial Intelligence System Gives Fashion Advice

People turn to many different sources for clothing style advice, from magazines to best friends to Instagram. Soon, though, you may be able to ask your smartphone.

New AI Sees Like a Human, Filling in the Blanks (Updated)

New AI Sees Like a Human, Filling in the Blanks (Updated)

Computer scientists at The University of Texas at Austin have taught an artificial intelligence agent how to do something that usually only humans can do—take a few quick glimpses around and infer its whole environment, a skill necessary for the development of effective search-and-rescue robots that one day can improve the effectiveness of dangerous missions.

Faculty Members Receive Prestigious NSF CAREER Awards

Faculty Members Receive Prestigious NSF CAREER Awards

Carlos Baiz, Philipp Krähenbühl, Qiang Liu and Christopher Rossbach were selected to receive NSF CAREER awards.

Four faculty members from the College of Natural Sciences have received distinguished Faculty Early Career Development (CAREER) Awards totaling $2.1 million over 5 years from the National Science Foundation.

Imaging, Reimagined

Imaging, Reimagined

Magnetic resonance imaging (MRI) helps doctors diagnose a host of problems from tumors to spinal cord injuries to strokes. But MRI scans require patients to spend as long as a half-hour or hour uncomfortably confined in a tube, sometimes at a cost of thousands of dollars.

Computer Scientist Elected Fellow of Association for the Advancement of Artificial Intelligence

Computer Scientist Elected Fellow of Association for the Advancement of Artificial Intelligence

University of Texas at Austin computer science professor Kristen Grauman was elected a fellow of the Association for the Advancement of Artificial Intelligence (AAAI), a lifetime honor.

7 Books for the Texas Science Reader in Your Life

7 Books for the Texas Science Reader in Your Life

Whether you're looking for a gift for a science enthusiast or proud Longhorn in your life, or you're just seeking your next relaxing read, this roundup of recent books by or featuring members of the Texas Science community will come in handy.

World's Largest General Scientific Society Selects Computer Scientist as Fellow

World's Largest General Scientific Society Selects Computer Scientist as Fellow

Computer scientist Peter Stone has been named a fellow of the American Association for the Advancement of Science. Credit: Vivian Abagiu.

The American Association for the Advancement of Science (AAAS), the world's largest general scientific society, has named computer scientist Peter Stone and two other University of Texas at Austin faculty members as fellows. This year's AAAS fellows – members of the College of Natural Sciences, the Cockrell School of Engineering and the College of Liberal Arts – will be inducted at a February ceremony during the AAAS Annual Meeting in Washington, D.C.