Skip to main content

News

UT Computer Science Assistant Professor Greg Durrett
​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
UT Computer Science Professor Risto Miikkulainen
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
UT Computer Science Professor Keshav Pingali
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
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
The University of Texas at Austin tower reflected in glass building
Delivered by the Department of Computer Science and Machine Learning Laboratory, the Master of Science in Artificial Intelligence (MSAI) will be the first large-scale degree program of its kind and the only master’s degree program in AI from a top-ranked institution to be priced close to $10,000. The master’s degree covers about two years’ worth of course content, to be taken at the learner’s own pace, and master’s degree will be delivered in partnership with online course provider edX. Read More
Filtering data in transformers
For decades, natural language processing (NLP) has provided methods for computers to understand language in a way that mimics humans. Since they are built on transformers, complex neural network layers, these large language models' decision making processes are usually incomprehensible to humans and require large amounts of data to be trained properly. In the past, researchers have tried to remedy this by having models explain their decisions by providing rationales, short excerpts of data that contributed most to the label. Read More
Longhorn Startup Success Story - Octoshop
Longhorn Startup is a unique program at UT Austin where undergraduate students earn real course credit while simultaneously building their own start-up under the mentorship of established entrepreneurs. One such start-up created by UT Computer Science alumni was recently obtained by Ibotta in a multi-million-dollar acquisition deal. Read More
It is with great sadness that we inform the scientific community of the passing of an international giant. Dana Ballard passed away on Nov 3rd, 2022, at the age of 76. Read More
 U T C S professor Angela Beasley
Each year, the College of Natural Sciences Teaching Excellence Award recognizes educators who provide outstanding education focused on research that enriches the experience of students. Read More
Autonomous robot going up steps
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. Read More