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Paper2Agent, a multi-agent framework published in Nature, automatically transforms research papers into virtual authors, enabling AI agents to interact with and build upon scientific knowledge for enhanced discovery.
Google DeepMind's WeatherNext AI model, published in Nature, achieves state-of-the-art accuracy in cyclone track and intensity forecasting, providing an average of 24 extra hours of preparation time.
UC Berkeley researchers trained an AI model on hundreds of thousands of EKGs to detect a previously unrecognized signal that predicts sudden cardiac death risk more accurately than current methods, potentially saving thousands of lives annually.
Google's research shows that its medical AI, AMIE, can effectively manage health conditions over time, matching clinicians in reasoning and exceeding in plan preciseness and guideline alignment, according to a study published in Nature.
First PhD paper published in Nature, co-authored with the FutureHouse team and @agreeb66.
Google announces Empirical Research Assistance (ERA), an AI tool using Gemini to write and optimize scientific code, now published in Nature and being rolled out as part of Gemini for Science to help scientists worldwide accelerate computational discovery.