As large language models (LLMs) like ChatGPT continue to advance, user expectations of them keep growing, including with ...

CGSchNet, a fast machine-learned model, simulates proteins with high accuracy, enabling drug discovery and protein ...

Leaders should rethink learning strategies, embed computational thinking into decision frameworks and redesign leadership ...

An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin has introduced CGSchNet, a machine-learned coarse-grained (CG) model that can ...

Probability and Statistics Group research at the School of Mathematical and Computer Sciences at Heriot-Watt University, Edinburgh.

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

Powered by differentiable imaging, Uncertainty - Aware Fourier Ptychography (UA - FP) revolutionizes computational imaging.

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Developed by Meta, PyTorch is a popular machine learning library that helps develop and train neural networks.