AI & Machine Learning
Artificial intelligence and machine learning are transforming science, society and industry. Texas Computing is at the forefront of research in these fields, pioneering better ways to use computing and AI for the good of all.
UT Austin Selected as Home of National AI Institute Focused on Machine Learning
UT Austin Launches Institute to Harness the Data Revolution
$1.5M award from National Science Foundation will support cross-disciplinary machine learning and data science research
TXCS Researchers Explore How Artificial Agents Collaborate on a Shared Task
The Machine Learning Research Group at UT Austin is led by Professor Raymond Mooney, and our research has explored a wide variety of issues in machine learning for over three decades. Our current research focus is natural language learning.
Good Systems seeks to better understand what changes new AI technologies will bring, predict how those changes will unfold, and mitigate the harms or unintended consequences they could cause while still leveraging the benefits AI provides.
The Laboratory for Artificial Intelligence opened in 1983, but AI research at the University of Texas began years earlier with pioneering efforts by Woody Bledsoe and Bob Simmons. The Lab has expanded to seven faculty in core areas of AI, about 50 Ph.D. students, numerous research staff, and a dozen affiliated faculty in related departments.