Google Research· Research

Empirical Research Assistance (ERA): From Nature publication to catalyzing Computational Discovery

Lizzie Dorfman, Product Manager, and Michael Brenner, Research Scientist, Google Research Published today, Empirical Research Assistance (ERA) is an AI tool for expert-level scientific coding that helped build the Computational Discovery prototype, now available through a trusted tester program in Google Labs. Quick links Nature paper ERA code and experiments ERA introductory blog post ERA applications blog post Share Copy link × One of AI’s greatest potential benefits to humanity is increasing the speed and scope of scientific discovery. Empirical Research Assistance (ERA), a Google-developed research tool that uses Gemini to write and optimize scientific code, addresses one of the most time-consuming parts of scientific research: iteratively testing and refining computational experiments. It is described in " AI system designed to help scientists write expert-level empirical software ”, published today in the journal Nature . As part of our wider science announcements …

Announced

19 May 2026 17:52 UTC