AI System Automates Coding for Scientific Research
A new AI tool named Empirical Research Assistance (ERA) has been developed to automate the creation of scientific software. This system, co-led by researchers from Google and Harvard, can outperform human-written programs, potentially speeding up scientific discovery. ERA utilizes advanced algorithms to refine code for specific scientific tasks, significantly reducing the time required for software development.
- ▪The AI system ERA can automatically write high-performance scientific software.
- ▪ERA combines the Google Gemini large language model with a search strategy to explore and refine code.
- ▪The system can integrate research ideas from papers or textbooks to enhance its software development process.
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News News Events All News Stories AI System Automates Coding for Scientific Research Empirical Research Assistance out-performs software written by experts By Anne J. Manning | Press contact May 19, 2026 FacebookTwitterEmailLinkedIn Key Takeaways A new AI tool called Empirical Research Assistance (ERA) can automatically write high-performance scientific software. ERA could significantly accelerate scientific discovery across many domains. A research team at Google co-led by Michael Brenner, Catalyst Professor of Applied Mathematics and Physics at the Harvard John A.
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