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Taufer Leads Group at UT Combining High Performance Computing and AI to Advance Data Sciences

Neural networks are powerful Artificial Intelligence (AI) models that capture embedded knowledge in scientific data automatically. Scientists can use the knowledge to solve problems in domains such as physics, materials science, neuroscience, and medical imaging, among others. Finding accurate neural networks for a specific scientific dataset or particular problem comes at a high training cost: […]

UT Teaming with Intel to Advance HPC and Visualization through oneAPI

Intel is launching a oneAPI center at UT, with one research thrust coming from the Innovative Computing Laboratory and another from EECS.