Most enterprise attention on AI agents has gone to the back office: agents that reconcile invoices, draft contracts, and answer support tickets. A quieter and more consequential deployment is happening inside research organizations. Scientific discovery agents — AI systems that survey the literature, propose hypotheses, design experiments, and interpret results — are shifting from curiosity..

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