Google DeepMind and collaborators have developed Euclidean Fast Attention (EFA), a machine learning method that more efficiently models global atomic interactions in complex chemical systems. This ...

Physics-informed neural networks (PINNs) represent a burgeoning paradigm in computational science, whereby deep learning frameworks are augmented with explicit physical laws to solve both forward and ...

Rose Yu has a plan for how to make AI better, faster and smarter — and it’s already yielding results. When she was 10 years old, Rose Yu got a birthday present that would change her life — and, ...

Light absorption is a cornerstone for several applications such as solar cells, photodetectors, and optical sensors, to name a few. Yet, the trade-off between the thickness of the absorber and its ...