Silvina Caino-Lores has been awarded for HPC/big data workforce development project that addresses the challenge of understanding scientific data, specifically those generated through large scale simulations.

Finding accurate neural networks for a specific scientific dataset or particular problem requires searching among thousands of neural networks on a large number of high-performance computing (HPC) resources. That could soon change thanks to research in HPC and AI being led by Michela Taufer.