Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

For more than three decades, modern CPUs have relied on speculative execution to keep pipelines full. When it emerged in the ...

The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...

A breakthrough in neuromorphic computing could lower the energy consumption of chips and accelerate progress toward artificial general intelligence (AGI). Researchers from the USC Viterbi School of En ...

Recent advances in computational biomechanics and digital modeling have unlocked new opportunities for analyzing and understanding human movement in sports ...