Skip to content

Hypothesis Generation

Catalog entries using this tag (links open the entry card on its page):

Entries

Co-Scientist

AI Agent Scientific Discovery Multi-Agent Hypothesis Generation Gemini
PUBMED_LINK
42156544
FULL NAME
Co-Scientist - A Multi-Agent AI System for Accelerating Scientific Discovery
DESCRIPTION
Co-Scientist is a multi-agent AI system built on Gemini for structured scientific thinking and hypothesis generation. It aims to help scientists discover new original knowledge by formulating demonstrably novel research hypotheses for experimental validation, conditioned on research objectives and prior scientific evidence.
TITLE
Accelerating scientific discovery with Co-Scientist.
Main citation
Gottweis J, Weng WH, Daryin A, Tu T, Sirkovic P, Myaskovsky A, Glowaty G, Weissenberger F, Orlandi A, Popovici D, Palepu A, Rong K, Tanno R, Saab K, Zhang F, Blum J, Carroll A, Kulkarni K, Tomašev N, Zverinski D, Rendulic I, Vedadi E, Hasler F, Rimanic L, Boia M, Budiselic I, Feinstein B, Bellaiche M, Sheffer T, Freyberg J, Ratcliff J, Bertolli O, Chou K, Hassidim A, Gokturk B, Vahdat A, Guan Y, Dhillon V, Vaishnav ED, Lee B, Costa TRD, Penadés JR, Peltz G, Matias Y, Manyika J, Hassabis D, Xu Y, Kohli P, Pawlosky A, Karthikesalingam A, Natarajan V. (2026) Accelerating scientific discovery with Co-Scientist. Nature. doi:10.1038/s41586-026-10644-y. PMID 42156544
ABSTRACT
Scientific discovery is driven by scientists generating novel hypotheses for complex problems that undergo rigorous experimental validation. To augment this process, we introduce Co-Scientist, a multi-agent AI system built on Gemini for structured scientific thinking and hypothesis generation. Co-Scientist aims to help scientists discover new original knowledge. Conditioned on their research objectives and prior scientific evidence, it formulates demonstrably novel research hypotheses for experimental validation.
DOI
10.1038/s41586-026-10644-y