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?
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From the College of Natural Sciences
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
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
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
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
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)
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
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
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
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.
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