Artificial Intelligence and Machine Learning

    Our research covers a wide range of topics of this fast-evolving field, advancing how machines learn, predict, and control, while also making them secure, robust and trustworthy. Research covers both the theory and applications of ML. This broad area studies ML theory (algorithms, optimization, etc.); statistical learning (inference, graphical models, causal analysis, etc.); deep learning; reinforcement learning; symbolic reasoning ML systems; as well as diverse hardware implementations of ML.

    Latest news in artificial intelligence and machine learning

    The MIT senior will pursue postgraduate studies in intelligent systems in Ireland.

    Model-free framework reorients over 2,000 diverse objects with a hand facing both upward and downward, in a step toward more human-like manipulation.

    PhD student Heng Yang is developing algorithms to help driverless vehicles quickly and accurately assess their surroundings.

    Two research projects on the design of state-of-the-art hardware could one day power next-generation 5G and 6G mobile networks.

    The National Science Foundation (NSF) announced today an investment of $220 million to establish 11 artificial intelligence (AI) institutes, each receiving $20 million over five years. One of these,

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