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  • Nature Machine Intelligence

    Nature Machine Intelligence will publish high-quality original research and reviews in a wide range of topics in machine learning, robotics and AI. The journal will also explore and discuss the significant impact that these fields are beginning to have on other scientific disciplines as well as many aspects of society and industry. There are countless opportunities where machine intelligence can augment human capabilities and knowledge in fields such as scientific discovery, healthcare, medical diagnostics and safe and sustainable cities, transport and agriculture. At the same time, many important questions on ethical, social and legal issues arise, especially given the fast pace of developments Nature Machine Intelligence will provide a platform to discuss these wide implications — encouraging a cross-disciplinary dialogue — with Comments, News Features, News & Views articles and also Correspondence.

    Physics-informed machine learning: a hybrid lens for fluid dynamics

    https://www.nature.com/articles/s42256-026-01319-4
    Kai Fukami

    Agentic inequality

    https://www.nature.com/articles/s42256-026-01318-5
    Matthew Sharp

    Lagrangian–Eulerian learning of flow field and trajectories with TrajectoryFlowNet

    https://www.nature.com/articles/s42256-026-01316-7
    Jingdi Wan

    Towards understanding and monitorability of reasoning LLMs

    https://www.nature.com/articles/s42256-026-01333-6

    Reusability report: multi-sample omics network inference operates in distinct robustness regimes defined by prior knowledge and data availability

    https://www.nature.com/articles/s42256-026-01311-y
    Xabier Martínez-de-Morentin

    Large-scale iontronic skins with neural-hierarchical processing architecture

    https://www.nature.com/articles/s42256-026-01325-6
    Zhibin Li

    An all-in-one foundation model for multimodal medical image restoration and enhancement

    https://www.nature.com/articles/s42256-026-01310-z
    Luyang Cao

    Emotional optimization by newsroom AI needs behavioural evaluation

    https://www.nature.com/articles/s42256-026-01315-8
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