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Amy Pavel joined the College of Natural Sciences faculty in spring 2022 as an assistant professor in the Department of Computer Science. She was a postdoctoral fellow at Carnegie Mellon University and research scientist at Apple. She obtained her Ph.D. and undergraduate degrees at the University of California at Berkeley.

The University of Texas at Austin and the MITRE Corporation, a nonprofit dedicated to solving problems for a safer world, have formed a partnership that includes accelerating innovative ethical artificial intelligence (AI) research currently underway by interdisciplinary teams of researchers who are part of UT Austin's Good Systems research grand challenge.

It's hard to make changes to the software running on a computer network while it's in use—and that can make it harder to respond quickly to a cyberattack. The National Science Foundation has awarded a grant to computer scientists from Rice University, The University of Texas at Austin and the University of Washington to develop runtime programmable networks that can respond to real-time changes rapidly and without interruption of service.

Inderjit Dhillon, Gottesman Family Centennial Professor in Computer Science and a member of the Oden Institute for Computational Engineering and Sciences, has been named a fellow of the Association for the Advancement of Artificial Intelligence (AAAI).

The University of Texas at Austin is one of 13 university teams in North America set to participate in the EcoCAR EV Challenge, a prestigious collegiate competition to re-engineer state-of-the-art vehicles and prepare students for the future.

Isil Dillig is an associate professor of computer science who works to improve the security and reliability of software systems and automatically generate programs from high-level specifications. She received a Sloan Research Fellowship and an NSF CAREER award.

As society's reliance on technology increases, computer scientists are now placed at the forefront of new and unique ethical decisions. However, most computer science curricula don't require a substantial education in ethics, despite that an educational discussion on ethical issues can lead scientists to have greater awareness of the consequences and repercussions of their creations.

The Association for Computing Machinery, the primary professional organization in the field of computer science, has named Brent Waters as an ACM Fellow. The award goes only to highly distinguished computer scientists representing the top 1% of ACM members.

The National Science Foundation (NSF) has announced four new flagship funding awards through the Secure and Trustworthy Cyberspace (SaTC) program, including for a project focused on securing web browser operations led by Hovav Shacham, professor of computer science at the University of Texas at Austin.

Bilingual aphasia is a language impairment to multilingual people acquired through some sort of injury, usually a stroke. Patterns of language impairment in multilingual stroke patients are very diverse. Sometimes language impairment affects all languages the person speaks equally, while other times it affects one language more than the other.

William H. Press, a computer scientist and computational biologist at The University of Texas at Austin, will provide scientific perspective to the White House, as a recently named member of President Biden's Council of Advisors on Science and Technology (PCAST).

Artificial intelligence has reached a critical turning point in its evolution, according to a new report by an international panel of experts assessing the state of the field for the second time in five years.

For decades, computer chips have gotten denser, faster and more energy efficient. But in recent years, those improvements have slowed to a crawl.

The University of Texas at Austin rose to No. 38 among national universities in U.S. News & World Report's latest undergraduate rankings, climbing four spots since last year.

Ethics will be at the forefront of robotics education thanks to a new University of Texas at Austin program that will train tomorrow's technologists to understand the positive — and potentially negative — implications of their creations.