Machine learning is an integral part of high-stakes decision-making in a broad swath of human-computer interactions. You ...

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

Machine learning accelerates catalyst discovery by combining theory, AI, and experiments to identify efficient materials for ...

Weather prediction systems provide critical information about dangerous storms, deadly heatwaves and potential droughts, ...

An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin has ...

Weather prediction systems provide critical information about dangerous storms, deadly heatwaves and potential droughts, ...

SeamlessTx is addressing this challenge with a unique platform that integrates large-scale directed evolution and machine learning (ML)-driven models to predict recombinase variant activity and ...

Scikit-learn, PyTorch, and TensorFlow remain core tools for structured data and deep learning tasks.New libraries like JAX, ...

Learn how AI and machine learning enhance antibody discovery – from structure prediction to binding optimization – with ...

Model for predicting molecular crystal properties is readily adaptable to specific tasks, even with limited data ...

The Buffalo Bills will square off with the Baltimore Ravens in Week 1 of the NFL season on Sunday September 7. This ...