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: […]
Taufer Leads Group at UT Combining High Performance Computing and AI to Advance Data Sciences
Taufer to Receive 2019 IBM Faculty Award
Taufer will lead work with IBM to bring the IBM Onsite Deep Learning Workshop on campus. Training EECS students in deep learning and AI disciplines—the backbone of current scientific discovery—will open tremendous opportunities for them in Tennessee and outside the state.