News: Computer Science
Read the latest news from the College of Natural Sciences at The University of Texas at Austin
Researchers Achieve Quantum Computing Milestone, Realizing Certified Randomness
A team including Scott Aaronson demonstrated what may be the first practical application of quantum computers to a real world problem.

UT News
UT Austin and MD Anderson Launch Joint Initiative to Advance Breakthroughs in Cancer Research
Interdisciplinary research teams involve UT Austin faculty in the life sciences, computer science and chemistry.

Cross-Border University Collaboration Will Expand Research to Advance Precision Medicine
The OriGen Health Research Center will mine a massive biobank of genetic, clinical and epidemiological information to develop customized disease treatments.

Gurley Investment Will Sustain Texas Robotics’ Undergraduate Program as Leader
A matching gift from venture capitalist Bill Gurley supports the first undergraduate robotics program in the country admitting freshmen.

Department of Computer Science
Robots, Research, and the Road to Texas: Q&A with Volkan Isler
Isler, who has built robots to track invasive fish and monitor crop yields, is now setting up a new lab at UT Austin.

Quantum Science and Technology Turn 100
The College of Natural Sciences is celebrating a century of quantum science and technology.

Six UT Faculty Members Awarded Prestigious Sloan Research Fellowships
The annual award recognizes early-career scientists whose work demonstrates exceptional promise.

Improved Brain Decoder Holds Promise for Communication in People With Aphasia
Restoring some language for aphasia sufferers, like Bruce Willis and a million other Americans, could involve AI.

UT News
UT Leads Defense Research in Robotics
A University of Texas at Austin collaboration with Army Futures Command is accelerating responsible AI research advancement.

Department of Computer Science
Researchers Reduce Human Effort in Robot Training
A UT Robot Perception and Learning Lab project is reshaping humanoid robot training by focusing on data generation.
