Google’s co-scientist hopes to accelerate scientific discoveries

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Google introduced an AI co-scientist system built with Gemini 2.0, designed to generate novel research hypotheses from natural language prompts across multiple scientific domains. The system uses specialized AI agents to iteratively refine ideas through processes modeled on the scientific method, including hypothesis generation, ranking, and evolution. Google’s co-scientist outperforms other models on complex research goals as rated by domain experts, and preliminary laboratory experiments validated some of the AI co-scientist’s novel predictions in areas like drug repurposing and antimicrobial resistance. Future versions may add improved literature reviews, factuality checking, cross-checks with external tools, and other tools. (Google Research)

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