{"id":216740,"date":"2026-05-19T15:17:00","date_gmt":"2026-05-19T19:17:00","guid":{"rendered":"https:\/\/testing.news-you-need.com\/index.php\/2026\/05\/19\/ai-system-automates-coding-for-scientific-research\/"},"modified":"2026-05-19T15:55:15","modified_gmt":"2026-05-19T19:55:15","slug":"ai-system-automates-coding-for-scientific-research","status":"publish","type":"post","link":"https:\/\/testing.news-you-need.com\/index.php\/2026\/05\/19\/ai-system-automates-coding-for-scientific-research\/","title":{"rendered":"AI System Automates Coding for Scientific Research"},"content":{"rendered":"<p><a href=\"https:\/\/seas.harvard.edu\/news\/ai-system-automates-coding-scientific-research\">AI System Automates Coding for Scientific Research<\/a><\/p>\n<p><a href=\"https:\/\/seas.harvard.edu\/news\/ai-system-automates-coding-scientific-research\">https:\/\/seas.harvard.edu\/news\/ai-system-automates-coding-scientific-research<\/a><\/p>\n<p>Publish Date: <a href=\"publish_date]\">2026-05-19 15:17:00<\/a><\/p>\n<p>Source Domain: <a href=\"seas.harvard.edu\">seas.harvard.edu<\/a><\/p>\n<ul>\n<li>\n<p><strong>ERA&#8217;s Automated Software Development<\/strong>: A team led by Michael Brenner from Harvard and Google DeepMind has developed ERA, an AI system that can automatically write scientific software capable of outperforming manually crafted human-written programs.<\/p>\n<\/li>\n<li>\n<p><strong>Automated Refinement<\/strong>: ERA automates the full cycle of scientific software design and refinement, using the Google Gemini model and a sophisticated search strategy to explore and fine-tune thousands of code modifications, saving months or years of manually intensive work from human experts.<\/p>\n<\/li>\n<li>\n<p><strong>Method of Tree Search<\/strong>: The system employs a tree search strategy, similar to the one used in the AlphaGo game-playing system, allowing it to identify and refine promising coding ideas efficiently.<\/p>\n<\/li>\n<li>\n<p><strong>Integration of Research Ideas<\/strong>: ERA can incorporate existing research ideas provided either manually by users or extracted automatically from various sources like papers and textbooks, helping it to generate novel and effective solutions.<\/p>\n<\/li>\n<li>\n<p><strong>Scientific Applications<\/strong>: The system has been successfully used to tackle diverse scientific problems, including predicting zebrafish neural activity and outperforming existing models in predicting COVID-19 hospitalizations.<\/p>\n<\/li>\n<li>\n<p><strong>Accelerator for Scientific Discovery<\/strong>: ERA can substantially reduce time needed for exploring different computational approaches, from weeks to hours, thus enabling researchers to shift focus towards more critical and creative scientific inquiries.<\/p>\n<\/li>\n<\/ul>\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>AI System Automates Coding for Scientific Research https:\/\/seas.harvard.edu\/news\/ai-system-automates-coding-scientific-research Publish Date: 2026-05-19 15:17:00 Source Domain: 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