Interpretable AI in materials discovery: Uncovering how models make predictions

A method to interpret artificial intelligence (AI) models used in materials discovery by analyzing their learned features has been developed by researchers from Japan. The method extracts key features ...
AlphaGalileo

AdapGNN: A New Framework Enhances Explainability of Graph Neural Networks for Molecular Property Prediction

Researchers have developed AdapGNN, a novel model-agnostic framework that addresses the oversmoothing problem in graph neural ...
News Medical

Optibrium introduces graphical interface for QuanSA to enhance ligand-based affinity predictions

Optibrium, a leading developer of software and AI solutions for molecular design, today announced a new QuanSA ™ plugin for PyMOL, providing an intuitive Graphical User Interface (GUI) for its ...
Engadget

DeepMind releases a new weather forecasting model for more accurate predictions

We may receive a commission on purchases made from links. Google's DeepMind just released WeatherNext 2, a new version of its AI weather prediction model. The company promises that it "delivers more ...
Forbes

Nvidia Buys Kumo AI To Bring AI Predictions To Business Data

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Nvidia has acquired Kumo AI, a four-year-old startup that builds foundation models for ...