The work relies in part on a transformer model, similar to the ones that power ChatGPTA new artificial intelligence system called a semantic decoder can translate a person’s brain activity — while listening to a story or silently imagining telling a story — into a continuous stream of text. The system developed by researchers at The University of Texas at Austin might help people who are mentally conscious yet unable to physically speak, such as those debilitated by strokes, to communicate intelligibly again.Read More
AUSTIN, Texas — The UT Computer Science graduate program continues to be recognized as a top 10 program in the nation, as well as among the top 5 among public schools and the best in Texas, according to the latest edition of “Best Graduate Schools” from U.S. News & World Report released today. The magazine ranks programs in alternating years.Read More
UT Computer Science Ph.D. Garrett Bingham’s research under Professor Risto Miikkulainen in smart automated machine learning has made significant steps toward more efficient neural network systems.Read More
AUSTIN, Texas — The University of Texas at Austin and Amazon are launching a science and engineering research partnership to enhance understanding in a variety of areas, including video streaming, search and information retrieval and robotics.Read More
On Sat, 25 Feb 2023, the UT Programming Team competed in the ICPC South Central USA Regional Competition. As a result, one team will advance to the ICPC North America Division Championships on Mon, 29 May 2023.Read More
A methodology developed by UT professors will allow the cost of verifying computations to be reduced by batching many separate arguments together.
Brent Waters, a computer science professor and a co-author of the paper, was inspired to find a more efficient way to verify computations by refining techniques that had already come out over a decade ago.Read More
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 UT Computer Science Assistant Professor Greg Durrett.
Based on a "candidate's research accomplishments, creativity, and potential to become a leader in their field," independent panels composed of senior scholars select 126 recipients every year out of more than a thousand who are nominated by fellow scientists.Read More
The Association for the Advancement of Artificial Intelligence (AAAI) has selected Risto Miikkulainen as one of 11 fellows for 2023.
Founded in 1990, AAAI's Fellows Program seeks to highlight the individuals who contribute greatly to the field of AI. Miikkulainen was honored for "significant contributions to neuroevolution techniques and applications."Read More
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."
At The University of Texas at Austin, Pingali is the W.A. "Tex" Moncrief Chair of Grid and Distributed Computing and a professor in the Department of Computer Science and core faculty in the Oden Institute for Computational Engineering and Sciences.Read More
UT Computer Science Professor Scott Aaronson is one of six faculty in The University of Texas at Austin, to be elected as a fellow of the American Association for the Advancement of Science (AAAS)— the world's largest general scientific society. His research interests center around the capabilities and limits of quantum computers, and computational complexity theory more generally. He has won numerous awards throughout his career, most recently the 2020 Association for Computing Machinery Prize for groundbreaking contributions to quantum computing.Read More
