Science & Research
Google DeepMind’s science portfolio is unique in the AI industry — no other lab has made comparable contributions to fundamental scientific discovery through AI.
AlphaFold — Protein Structure Prediction
AlphaFold solved the 50-year “protein folding problem” — predicting a protein’s 3D structure from its amino acid sequence.
| Milestone | Detail |
|---|---|
| AlphaFold 2 (2020) | Solved the protein folding grand challenge |
| AlphaFold 3 (2024) | Extended to all biomolecules (DNA, RNA, ligands) |
| Impact | 200M+ protein structures predicted, freely available |
| Recognition | Nobel Prize in Chemistry (2024) |
| Access | AlphaFold Database |
Applications
- Drug discovery and development
- Understanding disease mechanisms
- Enzyme design for industrial processes
- Vaccine development
WeatherNext — AI Weather Forecasting
AI-powered weather prediction that matches and often exceeds traditional physics-based models:
| Feature | Detail |
|---|---|
| Accuracy | Matches or exceeds ECMWF (European model) |
| Speed | Minutes vs hours for traditional models |
| Resolution | High-resolution global forecasts |
| Applications | Disaster preparedness, agriculture, aviation, energy |
Co-Scientist — AI Research Partner
A multi-agent AI system designed to accelerate scientific discovery:
- Hypothesis generation — proposes novel research directions
- Literature synthesis — analyzes thousands of papers for connections
- Experimental design — suggests optimized experiments
- Data analysis — identifies patterns humans might miss
Built on Gemini 3.5 with specialized scientific agents.
AlphaEvolve — Algorithm Design
A Gemini-powered coding agent for designing advanced algorithms:
- Discovers novel algorithms for mathematical and computing problems
- Optimizes existing algorithms for performance
- Applications in cryptography, optimization, and machine learning
SIMA 2 — Learning Agent
An AI agent that plays, reasons, and learns in virtual 3D worlds:
| Feature | Detail |
|---|---|
| Environment | 3D virtual worlds and games |
| Capabilities | Navigation, object manipulation, task completion |
| Learning | Learns from demonstration and exploration |
| Goal | Generalizable AI that can operate in any virtual environment |
Genie 3 — World Generation
Generate and explore interactive 3D worlds from text descriptions:
- Text-to-world — describe a world and Genie generates it
- Interactive — explore generated worlds in real-time
- Applications — game design, training simulations, architecture
Gemini Robotics — Physical AI
AI that perceives, reasons, and interacts with the physical world:
| Capability | Description |
|---|---|
| Perception | Understand objects, environments, and contexts |
| Reasoning | Plan multi-step physical actions |
| Tool use | Manipulate objects and use tools |
| Interaction | Safe human-robot collaboration |
Gemini for Science
A collection of AI tools for scientific exploration:
- Experimental tools for lab research
- Science skills for specialized scientific workflows
- Data analysis powered by Gemini
Access at labs.google/science and ai.google/gemini-for-science.
The Broader Impact
DeepMind’s science work demonstrates AI’s potential beyond chatbots and code generation — solving fundamental scientific problems that were considered intractable just a few years ago. This is the “build AI responsibly to benefit humanity” mission in action.