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

​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.

Google announced earlier this week that a team of researchers made a milestone achievement: "quantum supremacy," or the creation of a quantum computer capable of calculations beyond the capacity of a traditional supercomputer. To put this in perspective, a number of media outlets, including New York Times, Scientific American, Nature, Quanta Magazine, BBC and NPR, relied on the expertise of Scott Aaronson, a professor of computer science at the University of Texas at Austin.

Each year the College of Natural Sciences invites its faculty, staff and students to submit the most stunning and inspiring images from their scholarly research for our Visualizing Science competition. We ask for images that not only inform and educate, but also celebrate the beauty inherent within scientific discovery.

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.

Three College of Natural Sciences alumni were selected for induction into the college's 2019 Hall of Honor.

It was 2006 when Juan Sequeda (BS '08, PhD '15), then a new UT Austin computer science transfer student, saw a fellow undergraduate drop a bunch of papers on the floor. When he bent over to help pick up the papers, he was surprised to see that they were research articles about an obscure subfield in computer science that Sequeda himself had recently become obsessed with: the Semantic Web.

Two faculty members from The University of Texas at Austin, both from the College of Natural Sciences, have been chosen to receive 2019 Regents' Outstanding Teaching Awards by the Board of Regents of The University of Texas System. The recipients are David Laude, a Distinguished Teaching Professor in chemistry, and Alison Norman, associate professor of instruction in computer science.

Computer scientist Brent Waters of The University of Texas at Austin has been selected as a 2019 Simons Investigator in Theoretical Computer Science by the Simons Foundation, for his work in cryptography and computer security.

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.