Frontier labs

Demis Hassabis

Google DeepMind CEO

Why we track: Gemini and Science AI direction

Career moves

No published career moves.

Papers

Paper2026-10-20 · Zenodo (CERN European Organization for Nuclear Research)

Release of Structural Data Used in AI-Based Enzyme Design Paper

Supplementary Data 2. Designed and predicted structures of all designs

Demis Hassabis · Pushmeet Kohli · Rob Fergus +35 more

What: The research team has released all structural data files covered in the paper on AI-driven enzyme design for novel chemical reactions.
Key result: The compressed file contains structures generated by the AI model, redesigned structures, and additional predicted structural data.
Why it matters: The released data allows related researchers to verify the results of AI-based enzyme design and conduct further research.AI summary

AI for science

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Paper2026-09-30 · Nature

Development of Technology to Invisibly Mark the Origin of AI-Generated Proteins

Function-preserving watermarking of AI-generated proteins.

Demis Hassabis +20 more

What: Researchers have developed 'SynthIDBio', a technology that leaves marks on AI-generated protein sequences and structures without loss of function.
Key result: It has been demonstrated that watermarks can be detected with near-perfect accuracy while maintaining protein functions similar to existing ones.
Why it matters: It demonstrates the potential of provenance tracking tools in the field of AI-driven bioengineering to address biosecurity and information authenticity issues.AI summary

AI for science Safety & policy

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Paper2026-07-02 · arXiv.org

Google Releases Open-Source AI 'Gemma 4' with Improved Performance and Efficiency

Gemma 4 Technical Report

Demis Hassabis · Koray Kavukcuoglu +298 more

What: Google has developed 'Gemma 4', a next-generation open-source multimodal language model with enhanced computational efficiency and reasoning capabilities.
Key result: Performance has significantly improved across various evaluation benchmarks, including Science, Technology, Engineering, and Mathematics (STEM) and multimodality.
Why it matters: This indicates a broadened range of open-source AI model options capable of solving complex problems with fewer resources.AI summary

Inference efficiency Training & scaling

Full summary Read paper ↗ PDF ↗

This page compiles published papers, official announcements and press reports for information only. Paper summaries are written by AI from the abstract and reviewed by the editor; they may differ from the original, so check the paper for anything important. Nothing here is a recommendation to buy or sell any security or investment advice. Career moves cite official announcements or major press reports; some career records come from Wikidata (CC0). Summaries on this page were translated by AI from the editor-reviewed Korean version.