The Center for Brains, Minds and Machines (CBMM) is a National Science Foundation funded Science and Technology Center on the interdisciplinary study of intelligence. This effort is a multi-institutional collaboration headquartered at the McGovern Institute for Brain Research at MIT, with Harvard University as a managing partner. Visit the CBMM website for more information.

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Recent Submissions

  • Implicit dynamic regularization in deep networks 

    Poggio, Tomaso; Liao, Qianli (Center for Brains, Minds and Machines (CBMM), 2020-08-17)
    Square loss has been observed to perform well in classification tasks, at least as well as crossentropy. However, a theoretical justification is lacking. Here we develop a theoretical analysis for the square loss that also ...
  • On the Capability of Neural Networks to Generalize to Unseen Category-Pose Combinations 

    Madan, Spandan; Henry, Timothy; Dozier, Jamell; Ho, Helen; Bhandari, Nishchal; e.a. (Center for Brains, Minds and Machines (CBMM), 2020-07-17)
    Recognizing an object’s category and pose lies at the heart of visual understanding. Recent works suggest that deep neural networks (DNNs) often fail to generalize to category-pose combinations not seen during training. ...
  • A Definition of General Problem Solving 

    Liao, Qianli (2020-07-13)
    What is general intelligence? What does it mean by general problem solving? We attempt to give a definition of general problem solving, characterize the common process of problem solving and provide a basic algorithm that ...

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