At Google I\/O (May 19, 2026), Google introduced Gemini for Science, an experimental suite of AI tools that aim to support stages of the scientific method, according to Google’s I\/O keynote and the company blog. The public-facing prototypes are Hypothesis Generation, Computational Discovery, and Literature Insights, each built around Gemini-class multi-agent reasoning and linked systems described on Google’s research pages. Google Research and product posts identify Co-Scientist, Alpha Evolve, Empirical Research Assistance (ERA), and NotebookLM as components or underlying projects used to assemble the prototypes, per the Google and DeepMind blogs and the Research.Google post.<\/p>\n
Per the Research.Google post, ERA is documented in a publication in Nature and is presented as an expert-level scientific coding assistant that can search literature, generate and optimize code, and evaluate computational experiments against defined metrics. The Google and DeepMind posts include applied examples: DeepMind’s blog highlights that Co-Scientist helped identify a drug-repurposing candidate that, in reported lab tests, blocked 91% of a scarring-linked response, and documents collaborative use cases across liver fibrosis, ALS research, and cellular aging.<\/p>\n
Google frames access to the prototypes as a gradual rollout: the company is making the tools available through Google Labs with a separate enterprise path via Google Cloud, per the Google blog and Digital Trends reporting. Digital Trends also reports that a feature called Science Skills pulls insights from more than 30 major life-science databases and research tools.<\/p>\n","protected":false},"excerpt":{"rendered":"At Google I\/O (May 19, 2026), Google introduced Gemini for Science, an experimental suite of AI tools that…\n","protected":false},"author":2,"featured_media":45610,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9],"tags":[27796,5044,3817,2408,132,7543,27795],"class_list":["post-45803","post","type-post","status-publish","format-standard","has-post-thumbnail","category-google","tag-co-scientist","tag-deepmind","tag-era","tag-gemini","tag-google","tag-google-deepmind","tag-scientific-discovery"],"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/45803","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=45803"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/45803\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/45610"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=45803"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=45803"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=45803"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}