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The Center for Biological & Computational Learning (CBCL) at MIT was founded with the belief that learning is at the very core of the problem of intelligence, both biological and artificial, and is the gateway to understanding how the human brain works and to making intelligent machines. CBCL studies the problem of learning within a multidisciplinary approach. Its main goal is to nurture serious research on the mathematics, the engineering and the neuroscience of learning. Established in 1992 with support from the National Science Foundation, CBCL is based in the Department of Brain & Cognitive Sciences at MIT (click here for map information) and is associated with the McGovern Institute for Brain Research and with the Computer Science & Artificial Intelligence Laboratory (CSAIL). CBCL is hosting the IIT@MIT Lab, a joint lab between the Istituto Italiano di Tecnologia (IIT) and MIT. Tomaso Poggio is the co-director of CBCL. He is now co-leading the MIT Intelligence Initiative.
Location: Massachusetts Institute of Technology,
Bldg. 46-5155, 43 Vassar Street, Cambridge, MA (Map) CBCL research is currently sponsored by Government grants from: DARPA and National Science Foundation. Corporations and foundations which have supported or are supporting this Center are as follows: Adobe, Central Research Institute of Electric Power Industry (CRIEPI), Center for e-Business (MIT), DaimlerChrysler AG, Compaq/Digital Equipment Corporation, Gerry Burnett, Eastman Kodak Company, Honda R&D Co., Ltd., Industrial Technology Research Institute (ITRI), Komatsu Ltd., Eugene McDermott Foundation, Merrill-Lynch, Mitsubishi Corporation, NEC Fund, Oxygen, Siemens Corporate Research, Inc., Sony, Sumitomo Metal Industries, and Toyota Motor Corporation. [The views and conclusions contained within this website are those of the web authors and should not be interpreted as the official policies, either expressed or implied, of the National Science Foundation, the Defense Advanced Research Projects Agency, the Office of Naval Research, the Air Force Aerospace Research, or the United States Government.]
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Current News:Brains & Machines Seminar Series: Automatically Learning the Structure of Spoken Language Without Supervision 2012 schedule is being developed. Please check back for updates.
Update: MIT150 Symposium: Brains, Minds and Machines - Videos New publications: Tacchetti, A., P. Mallapragada, M. Santoro and L. Rosasco, GURLS: a Toolbox for Regularized Least Squares Learning Mroueh, Y., T. Poggio and L. Rosasco, Regularization Predicts While Discovering Taxonomy Poggio, T., S. Voinea and L. Rosasco, Online Learning, Stability, and Stochastic Gradient Descent New CBCL publication and software: CNS: a GPU-based framework for simulating cortically-organized networks. To review documentation and download software, please visit CBCL Code/Data . CBCL is hosting the new IIT@MIT Lab. Visit our new webpage. The Winter 2011 issue of Brain Scan includes a profile of Tomaso Poggio: Computing Intelligence By developing theories of how the brain learns from experience, Tomaso Poggio is also helping to engineer smarter machines. MIT Press has reissued David Marr's Vision, with a new foreword by Shimon Ullman and afterword by Tomaso Poggio. Watch Prof. Poggio's faculty interview on the McGovern Institute website. |
