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Accelerating scientific breakthroughs with an AI co-scientist
February 19, 2025 Juraj Gottweis, Google Fellow, and Vivek Natarajan, Research Lead We introduce AI co-scientist, a multi-agent AI system built with Gemini 2.0 as a virtual scientific collaborator to help scientists generate novel hypotheses and research proposals, and to accelerate the clock speed of scientific and biomedical discoveries. In the pursuit of scientific advances, researchers combine ingenuity and creativity with insight and expertise grounded in literature to generate novel and viable research directions and to guide the exploration that follows.
In our report we address several limitations of the system and opportunities for improvement, including enhanced literature reviews, factuality checking, cross-checks with external tools, auto-evaluation techniques, and larger-scale evaluation involving more subject matter experts with varied research goals. We thank our co-authors at Fleming Initiative and Imperial College London, Houston Methodist Hospital, Sequome, and Stanford University — José R Penadés, Tiago R D Costa, Vikram Dhillon, Eeshit Dhaval Vaishnav, Byron Lee, Jacob Blum and Gary Peltz. We also thank our teammates Resham Parikh, Taylor Godu, Siyi Kou, Rachelle Sico, Amanda Ferber, Cat Kozlowski, Alison Lentz, KK Walker, Roma Ruparel, Jenn Sturgeon, Lauren Winer, Juanita Bawagan, Tori Milner, MK Blake, Kalyan Pamarthy for their support.
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