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摘要: 24 Jun 2026

Google launches Gemini for Science AI research tools

Gemini for Science now includes tools for hypothesis generation, computational discovery and literature analysis.

Google has

introd...

正文

24 Jun 2026

Google launches Gemini for Science AI research tools

Gemini for Science now includes tools for hypothesis generation, computational discovery and literature analysis.

Google has

introduced Gemini for Science

, a collection of AI experiments and tools designed to support scientific discovery across research fields.

The initiative includes three experimental tools on Google Labs. Hypothesis Generation, built with

Co-Scientist

, helps researchers define research challenges, generate hypotheses and evaluate them through a multi-agent process. Google said the tool uses an ‘idea tournament’ in which

generate, debate and assess possible research directions, with claims supported by clickable citations.

Computational Discovery, built with AlphaEvolve and Empirical Research Assistance, is designed to generate and score large numbers of code variations in parallel. Google said the prototype could help scientists test modelling approaches in areas such as solar forecasting and epidemiology.

Literature Insights, built with NotebookLM, searches scientific literature and organises results into structured tables for side-by-side analysis. Researchers can use it to identify research gaps, synthesise findings across papers and create outputs such as reports, slide decks and audio or video overviews.

said access to the experiments will open gradually through Google Labs. The company is also bringing related capabilities to enterprise organisations through

Google Cloud

, with partners testing tools for pharmaceutical research, crop science, supply chain optimisation and work linked to the

Department of Energy’s Genesis Mission.

As part of Gemini for Science, Google is also launching Science Skills, a bundle that integrates more than 30 life science databases and tools, including UniProt, the AlphaFold Database, AlphaGenome API and InterPro. Google said the tools can support workflows such as structural bioinformatics and genomic analysis

来源: Brave/dig.watch

采集时间: 2026-06-24 20:16:46