To be realistic and predictive, biological models need to cover a broad range of scales from inside cells to between cells to whole organs and beyond. The National Institute for Mathematical and ...

Abstract: Deep learning is experiencing a rise in large-scale models. Training large-scale models is costly, prompting researchers to train large-scale models on commodity servers that more ...