05/01/2023 -
The work relies in part on a transformer model, similar to the ones that power ChatGPT
A 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
02/17/2023 -
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 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
02/16/2023 -
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
02/06/2023 -
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
02/01/2023 -
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
12/14/2022 -
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
11/14/2022 -
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
11/09/2022 -
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
10/20/2022 -
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
09/23/2022 -
As the technological world advances, it has become increasingly difficult for the speed of computers to improve. UT Computer Science Professor Dr. Chris Rossbach's research in field-programmable gate array (FPGA) virtualization has made significant strides in the development of a more efficient computing infrastructure.
Read more
Pages
