News: Machine Learning, Data and AI
Read the latest news from the College of Natural Sciences at The University of Texas at Austin
Alzheimer’s Drug Fermented With Help From AI and Bacteria Moves Closer to Reality
An innovative approach uses artificial intelligence and biosensors to pave the way for faster drug development.

Inaugural Class of AI Master’s Students Tackle a Transformative Moment in Tech
The University of Texas at Austin has welcomed its first cohort of students in the new, affordable, online artificial intelligence graduate degree program.

Texas Engineer
ROBOT SZN
This fall, UT hosted several robotics events, with experts from around the world converging on the Forty Acres to discuss the future of the field.

UT News
New Texas Center Will Create Generative AI Computing Cluster Among Largest of Its Kind
UT's powerful artificial intelligence hub has one of the largest GPU computing clusters for AI at a university.

New “Essentials of AI” Course Launches This Fall
The Department of Computer Science and the Good Systems program present a one semester-credit-hour course titled “Essentials of AI for Life and Society.”

Brain Activity Decoder Can Reveal Stories in People’s Minds
The work relies in part on a transformer model, similar to the ones that power ChatGPT.

Computer Science Professor Earns Industry Award
Kristen Grauman, a professor in the Department of Computer Science, has been awarded the Edward J. McCluskey Technical Achievement Award by the Institute of Electrical...

AAAI Selects UT Professor of Computer Science as a Fellow
The Association for the Advancement of Artificial Intelligence (AAAI) has selected Risto Miikkulainen as one of 11 fellows for 2023.

UT News
Can Robots and Humans Co-exist in Public? UT Campus Study Will Offer Answers
Autonomous robots will soon rove the buildings and streets of The University of Texas at Austin campus.

Department of Computer Science
Computer Science Researcher Aims to Automate Software Development
Isil Dillig works to improve the security and reliability of software systems and automatically generate programs from high-level specifications.
