AI for science in 2026: a crash course
A crash course on AI for science: protein prediction and design, AI weather models, materials and drug discovery, autonomous labs.
AI for science
How AI is used to predict protein structures, design molecules and materials, and speed up discovery.
AI for science tracker: milestones and what to watch
Live tracker of AI for science: protein AI, AI weather models, materials, autonomous labs and AI drug discovery, with dated milestones.
AlphaFold
ECMWF AIFS (Artificial Intelligence Forecasting System)
Genesis Mission (US AI-for-science initiative)
GNoME (Graph Networks for Materials Exploration)
Isomorphic Labs
The Materials Project
Protein Data Bank (PDB)
RFdiffusion
Self-driving labs (autonomous laboratories)
WeatherNext (GraphCast, GenCast)
Do AI-designed drugs work? What the clinical evidence shows
Has AI discovered new materials? The debate over GNoME and A-Lab
How AI designs new proteins, drugs and materials
How AI predicts protein structures
How AI weather models work