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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: […]


Liu Adds Another R&D 100 Award for Grid Research

Since 1963, the R&D 100 Awards have represented the “Oscars of engineering,” a high-profile recognition for innovative researchers generating impactful technology around the world. UT-ORNL Governor’s Chair Professor for Power Grids Yilu Liu recently won her third one within the last four years—all acknowledging her research into stabilizing large-scale power grids. The 2022 award recognizes […]