Google launches 'Gemini for Science' at I/O 2026: Co-Scientist, AlphaEvolve and ERA become products
At Google I/O on 19 May 2026, Google bundled its science-research systems into 'Gemini for Science'. It has three experimental Google Labs tools: Hypothesis Generation (built on Co-Scientist), Computational Discovery (built on AlphaEvolve and Empirical Research Assistance, ERA) and Literature Insights (built on NotebookLM). It also added a science skills bundle for Antigravity, and Co-Scientist and AlphaEvolve for enterprises in private preview on Google Cloud. The same day, Nature published the ERA and Co-Scientist papers.
Key facts
- Hypothesis Generation: multi-agent 'idea tournament' with cited, checked claims (labs.google/science)
- Computational Discovery: tests thousands of code variants in parallel (e.g. solar forecasting, epidemiology); gradual access through a trusted-tester program
- Literature Insights: turns papers into tables with custom searchable attributes, reports and audio/video summaries
- Science skills bundle for Google Antigravity: 30+ life-science databases incl. UniProt, AlphaFold DB, AlphaGenome API and InterPro
- Co-Scientist and AlphaEvolve in private preview for enterprise R&D on Google Cloud; no pricing disclosed
- ERA Nature paper ('An AI system to help scientists write expert-level empirical software'): LLM + tree search; 40 of 87 generated single-cell batch-integration methods beat every method on the OpenProblems v2.0.0 leaderboard (preprint arXiv 2509.06503, Sept 2025)
- ERA also reached or neared the top of CDC flu/COVID-19/RSV forecasting leaderboards and beat California's Bulletin 120 spring-runoff outlook, per Google Research
- Blog authors: Pushmeet Kohli (Google DeepMind / Google Cloud) and Yossi Matias (Google Research)
What happened
Google turned three research systems into products for scientists. Co-Scientist generates hypotheses. AlphaEvolve and ERA search over code to write better scientific software. NotebookLM handles the literature. They ship as Google Labs experiments and a science skills bundle for the Antigravity agent platform, and enterprise R&D teams get private previews on Google Cloud. Nature published the ERA and Co-Scientist papers the same day, alongside FutureHouse's Robin paper.
Why it matters
Google's "AI scientist" systems moved from research demos to products. This is the Gemini-centred strategy that later replaced dedicated single-problem teams such as AlphaFold's. The ERA leaderboard results are self-reported by Google, though they are now peer-reviewed.
Changelog
- 2026-09-29: created
Related events
- Google's AI co-scientist independently reproduces an unpublished superbug discovery in 48 hours ★★★★
- AlphaEvolve: Gemini-powered agent discovers new algorithms ★★★★
- Google I/O 2026: Gemini 3.5 Flash, Gemini Spark agent and Antigravity 2.0 ★★★★
- FutureHouse's Robin multi-agent system proposes ripasudil as a new treatment candidate for dry AMD ★★★
- FT: Google DeepMind has broken up its Nobel-winning AlphaFold team; Jumper, Adler and Pritzel now at Anthropic ★★★
- OpenAI launches GPT-Rosalind, a trusted-access reasoning model for life-sciences research ★★★
Sources (8)
- officialGoogle blog: Gemini for Science (I/O 2026)
- officialGoogle Research: ERA, from Nature publication to computational discovery
- officialGoogle Research at I/O 2026
- paperNature: An AI system to help scientists write expert-level empirical software (ERA)
- paperarXiv 2509.06503 (ERA preprint)
- paperNature: Accelerating scientific discovery with Co-Scientist
- officialGoogle DeepMind: Co-Scientist, a multi-agent AI partner
- pressAIwire: Google pushes forward with new AI for Science tools
id: 2026-05-19-google-gemini-for-science · updated 2026-09-29 · open in the interactive timeline