Google launches ‘Gemini for Science’ at I/O 2026
Co-Scientist, AlphaEvolve and ERA become products
Confirmed
The takeaway
At Google I/O on 19 May 2026, Google bundled its science-research systems into ‘Gemini for Science’.
Status
- Claim
Confirmed
- Our reporting
- High confidence
- Importance
- 3 of 5
- Last verified
- 29 September 2026
Your AI and this story
- GPT-6 Astra19 days after its cutoff
- Claude Opus 5.5In its training data
- Gemini 4 Hydrogen49 days after its cutoff
- Grok 4.7In its training data
It is after the cutoff of GPT-6 Astra and Gemini 4 Hydrogen, and can be in the training data of Claude Opus 5.5 and Grok 4.7.
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.
Sources
8 sources from 6 sites. Numbers match the chips in the text.
8 sources: 7 primary, 1 press
Primary
- Google blog: Gemini for Science (I/O 2026)blog.google, official
- Google Research: ERA, from Nature publication to computational discoveryresearch.google, official
- Google Research at I/O 2026research.google, official
- Nature: An AI system to help scientists write expert-level empirical software (ERA)nature.com, paper
- arXiv 2509.06503 (ERA preprint)arxiv.org, paper
- Nature: Accelerating scientific discovery with Co-Scientistnature.com, paper
- Google DeepMind: Co-Scientist, a multi-agent AI partnerdeepmind.google, official
Press
- AIwire: Google pushes forward with new AI for Science toolshpcwire.com, press
Changes
- Filed