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From the College of Natural Sciences
Kristen Grauman Named Finalist in 2020 Blavatnik National Awards for Young Scientists

Kristen Grauman Named Finalist in 2020 Blavatnik National Awards for Young Scientists

University of Texas at Austin computer science researcher Kristen Grauman was selected as a finalist for the 2020 Blavatnik National Awards for Young Scientists.

Researchers Design Evolutionary Algorithms for Neural Networks

Researchers Design Evolutionary Algorithms for Neural Networks

Texas Computer Science (TXCS) graduate students Garrett Bingham and William Macke, under the advisement of TXCS professor Risto Miikkulainen, are contributing to the improvement of AI with their research. Their paper, entitled "Evolutionary Optimization of Deep Learning Activation Functions" was accepted into the 2020 Genetic and Evolutionary Computation Conference. The work concerns the evolutionary optimization of activation functions as a potential means of improving neural networks, which may ultimately lead to the creation of smarter and more accurate AI.

New Partnership Aims to Demystify Artificial Intelligence “Black Boxes”

New Partnership Aims to Demystify Artificial Intelligence “Black Boxes”

Isil Dillig (left) and Swarat Chaudhuri are part of a new, multi-institution initiative aimed at better understanding what happens inside artificial intelligence "black boxes."

The promise of artificial intelligence to solve problems in drug design, discover how babies learn language, and make progress in many other areas has been stymied by the inability of humans to understand what's going on inside AI systems.

The Next 50 Years: An A.I. Designed to Make Life Better (Audio)

The Next 50 Years: An A.I. Designed to Make Life Better (Audio)

Artificial intelligence is becoming more and more a part of our daily lives. But will AI have mostly positive or negative impacts on society?

Joydeep Biswas Builds Robots to Navigate the Real World

Joydeep Biswas Builds Robots to Navigate the Real World

The Biswas lab demos robotic cars at campus events like the college donor brunch and Explore UT.

Joydeep Biswas leads the Autonomous Mobile Robotics Laboratory (AMRL) at UT, where he and other researchers work on building mobile service robots that assist humans in everyday environments. The lab investigates programs and algorithms that enable these robots to better navigate changing conditions, incorporate human assistance and recover from failures intelligently.

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.