Google DeepMind
Summary¶
Google DeepMind is a leading artificial intelligence research laboratory and subsidiary of Google. Formed by the merger of Google's Brain team and DeepMind, the group focuses on developing general-purpose AI systems to solve scientific and computational challenges. The lab co-developed the Empirical Research Assistance (ERA) system for automated scientific software generation (as of 2026-05-19).
Research Areas¶
Google DeepMind's scientific research focuses on several key domains: - AI for Science: Building models to address fundamental problems in science, including protein structure prediction with AlphaFold 2 and AlphaFold 3, regulatory-variant interpretation with AlphaGenome, and materials science with GNoME. - Automated Code Generation: Developing agentic systems and language models capable of writing complex, functional computer code (e.g., AlphaCode). - Reinforcement Learning and Tree Search: Advancing planning and optimization algorithms, building on the success of systems like AlphaGo.
Citations¶
- Google DeepMind Website: https://deepmind.google (as of 2026-07-19)
- Key Publication: Aygün, E., et al. (2026). An AI system to help scientists write expert-level empirical software. Nature, 654, 909–915. DOI: 10.1038/s41586-026-10658-6. Source paper: s41586-026-10658-6.pdf