We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

Ultrafiltration membranes used in pharmaceutical manufacturing and other industrial processes have long relied on separating ...

Researchers have developed a powerful new software toolbox that allows realistic brain models to be trained directly on data.

Prevailing AI architectures are not moving the needle. We need new ideas. Google Research proposes NL (nested learning). Here ...

Abstract: Monocular scene flow estimation has been a long-standing problem in computer vision. Methods based on the RAFT architecture are currently the mainstream approaches, while often overlooking ...