Titlebook: Artificial Intelligence for Science (AI4S); Frontiers and Perspe Qinghai Miao,Fei-Yue Wang Book 2024 The Editor(s) (if applicable) and The

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Handbook of Abductive Cognitionrovides brief introductions to selected advancements in AI for physics, including unfolding observables from the Large Hadron Collider, magnetic control of tokamak plasmas, and finding evidence for intrinsic charm quarks, based on AI methods such as neural networks, genetic algorithms, reinforcement learning, and more.

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Cristina Barés Gómez,Matthieu Fontainecluding Swarm Learning for decentralized diagnosis, and advanced models like IRENE and EVE for clinical diagnostics. These innovations aim to enhance data confidentiality, improve diagnostic accuracy, streamline patient triaging, and clinical decision-making.

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AI for Biology,ction with AlphaFold to the innovative design of functional proteins with RFdiffusion and advanced single-cell analysis with scGPT. These advancements not only enhance our understanding of biological processes but also pave the way for new therapeutics and applications in medicine and beyond.