News: Machine Learning, Data and AI

Brad Knox detailed the psychological and social risks of AI systems designed for companionship at the Texas Symposium on Machine Learning, Responsible AI & Robotics.

The Texas Symposium on Machine Learning, Responsible AI, and Robotics invited all to help explore the future of AI.

Peter Stone, Stella Offner and Ilya Finkelstein are among the UT faculty involved in panels at SXSW this year.

Joydeep Biswas of UT Computer Science and Good Systems focuses on the role of service robots in busy environments.

New school will unite key strengths to establish a center of excellence, strengthening interdisciplinary research and preparing talent for a rapidly changing economy.

The annual Robot Parade showcases innovative research across all of Texas Robotics, including a new honors program.

The new hardware will be a game-changer to expand cutting-edge artificial intelligence research at UT Austin.

The Texas Academy of Medicine, Engineering, Science & Technology and Lyda Hill Philanthropies support the awards.

UT computer scientists are leading a new effort to improve the way AI represents structures of animals and humans.

Brad Knox, a UT computer scientist, focuses on ensuring AI systems act in ways that reflect human values.