AI for science
How AI is used to predict protein structures, design molecules and materials, and speed up discovery.
- WikiAlphaFoldAlphaFold is Google DeepMind's AI system for predicting protein and biomolecular structures. Versions, accuracy, database and limits.Updated
- WikiECMWF AIFS (Artificial Intelligence Forecasting System)The AIFS is ECMWF's operational AI weather model, running since 2025 beside its physics-based IFS. Performance, energy use and limits.Updated
- WikiGenesis Mission (US AI-for-science initiative)The Genesis Mission is the US government's DOE-led programme to accelerate science with AI, launched in November 2025. Goals and awards.Updated
- WikiGNoME (Graph Networks for Materials Exploration)GNoME is Google DeepMind's deep-learning project that predicted 2.2 million new crystal structures. What it found and why critics push back.Updated
- WikiIsomorphic LabsIsomorphic Labs is the Alphabet-backed AI drug discovery company led by Demis Hassabis. Funding, partners and clinical timeline.Updated
- WikiThe Materials ProjectThe Materials Project is an open, DOE-funded database of computed materials properties, now the hub for AI-driven materials discovery.Updated
- WikiProtein Data Bank (PDB)The Protein Data Bank is the open global archive of 3D biomolecular structures that trained AlphaFold. Size, history and role in AI.Updated
- WikiRFdiffusionRFdiffusion is an open-source generative AI model from the Institute for Protein Design that designs new proteins and binders.Updated
- WikiSelf-driving labs (autonomous laboratories)Self-driving labs pair AI with robots that plan, run and learn from experiments. The A-Lab, the controversy, and the 2025–26 start-up wave.Updated
- WikiWeatherNext (GraphCast, GenCast)Google DeepMind's AI weather models, from GraphCast and GenCast to WeatherNext 2: how they work and how they compare.Updated
- AnalysisDo AI-designed drugs work? What the clinical evidence showsAI-designed drug candidates are reaching patients. What trial data show so far, what they don't, and why "AI-designed" is a contested label.Updated
- AnalysisHas AI discovered new materials? The debate over GNoME and A-LabAI has predicted millions of crystals and robots have tried to make them. Why chemists dispute the claims, and what would count as proof.Updated
- ExplainerHow AI designs new proteins, drugs and materialsHow generative AI proposes new proteins, drug molecules and crystals, and why every design still has to be made and tested in a lab.Updated
- ExplainerHow AI predicts protein structuresWhy a protein's 3D shape matters, how AlphaFold-style models predict it from sequence, and what they still get wrong.Updated
- ExplainerHow AI weather models workHow machine-learning weather models learn from decades of past weather, why they are so fast, and how forecasters now use them.Updated