News

The Association for the Advancement of Artificial Intelligence (AAAI) has selected Risto Miikkulainen as one of 11 fellows for 2023.

​The Alfred P. Sloan Foundation announced today the early-career researchers across the U.S. and Canada who are recipients of the 2023 Sloan Research Fellowship, including three UT Austin faculty members in the College of Natural Sciences: Greg Durrett, Sam Raskin and Hang Ren.

This spring, science and research take center stage at the Texas Science Festival. Happening Feb. 21 through March 4, the event is open to all and offers something for everyone—with options to join in or out of Texas. Participants of all ages will engage with, understand and be invigorated by scientific discovery at this year's event, themed around "Impact and Ideas to Transform Lives."

The IEEE Computer Society has selected Keshav Pingali to receive the 2023 IEEE CS Charles Babbage Award for his "contributions to high-performance compilers and graph computing."

Three faculty members in the College of Natural Sciences and three others at The University of Texas at Austin have been elected fellows of the American Association for the Advancement of Science (AAAS), the world's largest general scientific society.

Just as artificial intelligence (AI) and machine learning emerge as the fastest-growing in-demand skill sets in the global workforce, The University of Texas at Austin is establishing a new online master's program in AI with the potential to bring thousands of new students into the field.

​The Teaching Excellence Award in the College of Natural Sciences seeks to promote and recognize outstanding teaching in the college by honoring faculty members who have had a positive influence on the educational experience of our students. 

The National Science Foundation has selected The University of Texas at Austin for a pilot grant to establish the UT Center for Pandemic Decision Science (CPDS). The new interdisciplinary center will bring together scientists, engineers, clinicians and policymakers to tackle the grand challenge of preparing the world to combat future pandemic threats.

Autonomous robots will soon rove the buildings and streets of The University of Texas at Austin campus. But unlike other commercial delivery services, this fleet of robots will help researchers understand and improve the experience of pedestrians who encounter them.

Rachel Ward, professor of mathematics at The University of Texas at Austin, has been awarded a National Science Foundation (NSF) Transdisciplinary Research in Principles of Data Science, or TRIPODS, Phase II award. The award will help establish The Institute for Emerging CORE Methods in Data Science (EnCORE), led by the University of California San Diego in collaboration with the University of California, Los Angeles; University of Pennsylvania; and UT Austin.