https://preview.redd.it/t3hxb58n483h1.png?width=960&format=png&auto=webp&s=19360984743df97c49018dfaaf010fc10ab058ef So Google DeepMind’s CEO, Demis Hassabis, announced Gemini for Science on Friday. It’s basically a suite of experimental AI tools designed to speed up scientific discoveries. They are rolling out this new research platform gradually inside Google Labs starting this month, May 2026. The whole system combines three main experimental tools. First is Literature Insights, which is built on NotebookLM and analyzes scientific papers to turn data into clean tables or reports. Then there is Hypothesis Generation, which uses Co-Scientist and a multi-agent tournament approach to spin up and test new scientific ideas. The third one is Computational Discovery, and that relies on AlphaEvolve and ERA to write and test different code variations in parallel for stuff like epidemiology and solar forecasting. Just for context, their rival Anthropic showed off what “Code with Claude” can do at a dev event in London this same week. It looks like the market is splitting into highly specialized scientific systems on one side and autonomous coding tools on the other. This Gemini for Science launch is basically expanding how AI gets used in academia, where these multi-agent systems act as a force multiplier for researchers. The big practical shift here is that scientists can finally offload routine verification and data synthesis to these working platforms. Source: https://www.technologyreview.com/2026/05/22/1137845/the-download-coding-future-steroid-olympics-ai-science/ submitted by /u/andrewaltair
Originally posted by u/andrewaltair on r/ArtificialInteligence
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