An AI Co-Scientist for Hypothesis Generation from Google DeepMind
Google DeepMind has introduced Co-Scientist, a multi-agent AI system designed to assist in hypothesis generation for scientific research. This system aims to enhance the process of scientific discovery by formulating novel research hypotheses based on existing evidence. Initial applications in biomedical research have shown promising results, including the identification of new drug candidates for acute myeloid leukemia.
- ▪Co-Scientist is built on Gemini and focuses on structured scientific thinking and hypothesis generation.
- ▪The system employs a multi-agent architecture that allows for flexible compute scaling and self-improvement of hypotheses.
- ▪Real-world validations have demonstrated Co-Scientist's ability to identify new drug repurposing candidates.
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Article Published: 19 May 2026 Accelerating scientific discovery with Co-Scientist Juraj Gottweis ORCID: orcid.org/0009-0000-6348-55921 na1, Wei-Hung Weng ORCID: orcid.org/0000-0003-2232-03902 na1, Alexander Daryin ORCID: orcid.org/0000-0002-7549-97021 na1, Tao Tu ORCID: orcid.org/0000-0001-9191-79382 na1, Petar Sirkovic1 na1, Artiom Myaskovsky1 na1, Grzegorz Glowaty1 na1, Felix Weissenberger1 na1, Alessio Orlandi1 na1, Dan Popovici3, Anil Palepu ORCID: orcid.org/0000-0002-4720-87873, Keran Rong ORCID: orcid.org/0000-0002-4422-13612, Ryutaro Tanno ORCID: orcid.org/0000-0002-8107-67302, Khaled Saab ORCID: orcid.org/0000-0003-1427-04692, Fan Zhang3, Jacob Blum4, Andrew Carroll ORCID: orcid.org/0000-0002-4824-66893, Kavita Kulkarni3, Nenad Tomašev ORCID: orcid.org/0000-0003-1624-02202, Dina…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Nature.
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