Part 4/11:
Eric Schmidt describes these robotic labs as creating an innovation engine that never sleeps. AI models generate hypotheses and candidate compounds—think of these as sophisticated recipes or blueprints—based on learned chemical and biological data. The robotic labs then test these hypotheses overnight, collecting data and refining candidate solutions in a continuous, automated cycle. This process exponentially accelerates discovery, making once-impossible research tasks routine.