"Our workflow employs a unique strategy where machine learning models first predict the most probable space groups and crystal densities, filtering out unstable, low-density candidates before ...

Explainable machine learning is a sub-discipline of artificial intelligence (AI) and machine learning that attempts to summarize how machine learning systems make decisions. Summarizing how machine ...

It wasn't so long ago that developing custom artificial intelligence was very, very hard. Then came along several software libraries and frameworks, from PyTorch to Keras to MXNet to TensorFlow, that ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...