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  1. Article

    Open Access

    TacticAI: an AI assistant for football tactics

    Identifying key patterns of tactics implemented by rival teams, and develo** effective responses, lies at the heart of modern football. However, doing so algorithmically remains an open research challenge. T...

    Zhe Wang, Petar Veličković, Daniel Hennes, Nenad Tomašev in Nature Communications (2024)

  2. Article

    Publisher Correction: Scientific discovery in the age of artificial intelligence

    Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu in Nature (2023)

  3. No Access

    Article

    Scientific discovery in the age of artificial intelligence

    Artificial intelligence (AI) is being increasingly integrated into scientific discovery to augment and accelerate research, hel** scientists to generate hypotheses, design experiments, collect and interpret ...

    Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu in Nature (2023)

  4. No Access

    Chapter

    Predicting Patient Outcomes with Graph Representation Learning

    Recent work on predicting patient outcomes in the Intensive Care Unit (ICU) has focused heavily on the physiological time series data, largely ignoring sparse data such as diagnoses and medications. When they ...

    Catherine Tong, Emma Rocheteau in AI for Disease Surveillance and Pandemic I… (2022)

  5. No Access

    Chapter and Conference Paper

    Utility of Equivariant Message Passing in Cortical Mesh Segmentation

    The automated segmentation of cortical areas has been a long-standing challenge in medical image analysis. The complex geometry of the cortex is commonly represented as a polygon mesh, whose segmentation can b...

    Dániel Unyi, Ferdinando Insalata in Medical Image Understanding and Analysis (2022)

  6. Article

    Open Access

    Advancing mathematics by guiding human intuition with AI

    The practice of mathematics involves discovering patterns and using these to formulate and prove conjectures, resulting in theorems. Since the 1960s, mathematicians have used computers to assist in the discove...

    Alex Davies, Petar Veličković, Lars Buesing, Sam Blackwell, Daniel Zheng in Nature (2021)

  7. No Access

    Chapter and Conference Paper

    Automatic Inference of Cross-Modal Connection Topologies for X-CNNs

    This paper introduces a way to learn cross-modal convolutional neural network (X-CNN) architectures from a base convolutional network (CNN) and the training data to reduce the design cost and enable applying c...

    Laurynas Karazija, Petar Veličković, Pietro Liò in Advances in Neural Networks – ISNN 2018 (2018)