Powerful new artificial intelligence models sometimes, quite famously, get things wrong — whether hallucinating false information or memorizing others’ work and offering it up as their own. To address the latter, researchers led by a team at The University of Texas at Austin have developed a framework to train AI models on images corrupted beyond recognition.

Sea otters are one of the few animals that use tools to access their food, and a new study led in part by The University of Texas at Austin has found that individual sea otters that use tools — most of whom are female — are able to eat larger prey and reduce tooth damage when their preferred prey becomes depleted.

A deadly strain of cholera bacteria that emerged in Indonesia back in 1961 continues to spread widely to this day, claiming thousands of lives around the world every year, sickening millions — and, with its persistence, baffling scientists. Finally, researchers from The University of Texas at Austin have discovered how this dangerous strain has held out over decades.

Future-minded computer science researchers are utilizing Dynamic Belief Games to train agents to be better planning and decision tools for innovative communications systems.

A powerful new supercomputer that will enable dynamic open science research projects in the U.S. is in full production in the Texas Advanced Computing Center (TACC) at The University of Texas at Austin.

Four UT researchers receive some of the nation’s most selective early-career awards in recognition of their outstanding promise for significant scientific breakthroughs and fundamental research.

A first-ever stretchy electronic skin developed by researchers at The University of Texas at Austin could equip robots and other devices with the same softness and touch sensitivity as human skin, opening up new possibilities to perform tasks that require a great deal of precision and control of force.

Researchers, industry and Department of Defense recently gathered on campus to discuss strategic AI and autonomy needs and develop next-generation solutions, shaping potential collaborations.

A study from researchers at The University of Texas at Austin aims to make smart window technology more accessible through a new type of electrochromic device and materials. The device uses common, low-cost, sustainable building blocks such as amylose, a natural polymer found in corn, potatoes and beans.

The creator of a code to predict hurricane storm surges and an expert on the federal courts and constitutional law have been named the 2024 recipients of The University of Texas at Austin President’s Research Impact Award.