Institution
Google's frontier AI lab, spanning language models, robotics, scientific discovery, and reasoning systems.
Code Generation · Google DeepMind
AlphaCode attacked programming contests by generating many candidate programs, filtering them, and selecting diverse solutions likely to pass hidden tests.
Language Models · Google DeepMind
Chinchilla showed that many large language models were undertrained, and that better compute allocation can beat simply making parameters larger.
Multimodal Models · Google DeepMind
Flamingo connects pretrained vision encoders with large language models so multimodal tasks can be handled with a few interleaved examples.
Biomolecular Modeling · Google DeepMind
AlphaFold 3 moves beyond protein structure prediction by using a diffusion-based architecture to model complexes involving proteins, nucleic acids, ligands, ions, and modified residues.
Theorem Proving · Google DeepMind
AlphaGeometry combines a neural language model with symbolic deduction, using synthetic theorems and proofs to reach near gold-medal performance on olympiad geometry.
Long Context · Google DeepMind
Gemini 1.5 made million-token multimodal context feel less like a demo trick and more like a practical interface for long documents, video, audio, and code.
Vision-Language-Action · Google DeepMind
RT-2 shows that robot actions can be represented as language-like tokens, letting web-trained vision-language models transfer semantic knowledge into physical control.