Powering the Future of Generative AI
With a core focus on biosciences, health care, computer vision and Natural Language Processing (NLP), the new center is housed within UT’s interdisciplinary Machine Learning Laboratory (MLL) and co-led by faculty from the Cockrell School of Engineering and the College of Natural Sciences. In recognition of AI’s growth across industries, it also includes faculty members and support from Dell Medical School, as well as researchers from the School of Information and McCombs School of Business.
“UT has established a tremendous foundation in AI,” says MLL Director Adam Klivans. “The Center for GenAI will help us accelerate the process of scientific discovery and find new solutions to major engineering challenges that would otherwise take years of experimental work.”
The growth of ChatGPT and similar generative AI technologies has put pressure on many industry groups, healthcare organizations and public agencies to work with academic institutions to harness AI for innovation. The Texas Center for Generative AI will be powered by a new GPU cluster, called VISTA, among the largest of its kind in academia.
The cluster will comprise 600 NVIDIA H100s GPUs – short for graphics processing units, specialized devices to enable rapid mathematical computations, making them ideal for training AI models. TACC, the Texas Advanced Computing Center, will host and support the cluster.
Team
Director: Sanjay Shakkottai
Executive Committee : Alex Dimakis, Adam Klivans, Sujay Sanghavi
Area Leaders
NLP: Greg Durrett, Sujay Sanghavi, Eunsol Choi
Biosciences: Adam Klivans, Claus Wilke
Health: Jon Tamir, Ying Ding
Vision: Atlas Wang, Kristen Grauman
Watch a recast of the first talk in the new IFML Diffusion Seminar Series with of Center for Generative AI director Sanjay Shakkottai. "Tutorial on the Mathematical Foundations of Diffusion Models for Image Generation."
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