Machine Learning, Machine Vision, and the Brain

  title={Machine Learning, Machine Vision, and the Brain},
  author={Tomaso A. Poggio and Christian R. Shelton},
  journal={AI Magazine},
core of the problem of intelligence, both biological and artificial. In this article, we review our work over the last 10 years in the area of supervised learning, focusing on three interlinked directions of research—(1) theory, (2) engineering applications (making intelligent software), and (3) neuroscience (understanding the brain’s mechanisms of learnings)—that contribute to and complement each other. 


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Personal communication, January, Center for Biological and Computational Learning, Massachusetts Institute of Technology

  • M. Riesenhuber, T. Poggio
  • 1999
2 Excerpts

His research interests include surface correspondence and reinforcement learning

  • Christian R. Shelton
  • 1998

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