Research

03/25/2020 - 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. Researchers at six universities, including The University of Texas at Austin, are launching a partnership aimed at turning these AI "black boxes" into human-interpretable computer code, allowing them to solve hitherto unsolvable problems.

03/04/2020 - The paper titled “The BLIS Framework: Experiments in Portability” recently received the 2020 SIAM Activity Group on Supercomputing Best Paper Prize. Among the authors of this paper are TXCS professor Dr.

02/25/2020 - UPDATE (Jan. 18, 2021): The new approach to securing web browsers described below is now part of the latest version of the Firefox browser, available to all users.

02/04/2020 - Most websites that we use every day are database applications, which means that they involve software that interacts with an underlying database. As these websites evolve to meet the demands of their users, so must the software and the database schema, i.e., the model that determines the layout of the data. This process is extremely time-consuming and error-prone, because developers not only need to transform the data, but also re-implement all the affected parts of the application.

01/09/2020 - There are few pet peeves worse than being unable to find the right song. It’s this endless cycle of shuffling through a music library that inspired UT alumni and faculty to create DJ Monte-Carlo (DJ-MC)—a program tailored to preemptively pick music that suits your mood.

11/20/2019 - The 26th ACM Conference on Computer and Communications Security (CCS) took place in London last week. Over the years, CCS has established itself as a high standard research conference in the field of information security, and is one of the "big four" security conferences in the world. Each year since 2012, CCS has recognized one or two papers from the conference a decade earlier with a test-of-time award.

11/01/2019 - $1.5M award from National Science Foundation to support cross-disciplinary machine learning and data science research

10/28/2019 - College of Natural Sciences News by Grace Dickens

10/28/2019 - 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. A University of Texas at Austin computer science team, in partnership with researchers from Cornell Tech, Georgia Tech and Facebook AI Research, has developed an artificial intelligence system that can look at a photo of an outfit and suggest helpful tips to make it more fashionable. Suggestions may include tweaks such as selecting a sleeveless top or a longer jacket.

05/16/2019 - 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.