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Кибенематика - математическая кибернетика с намеком на отсыл к едреней фене__(АБС)__

суббота, 24 февраля 2018 г.

Plumbing the Depths of Neural Nets

On a quest to demystify deep learning, Tomaso Poggio glimpses tantalizing implications for human intelligence
Image: Laguna Design -->
Winter 2018 KIT Edu   John Pavlus
     TALK TO NEUROSCIENTIST TOMASO POGGIO FOR ANY LENGTH OF TIME, and you’re likely to learn more than one unexpected fact about brains, minds, or machines. Like, for example, the fact that the size of a fruit fly’s brain—when the number of neurons are plotted logarithmically—lies almost exactly halfway between the human brain and no brain at all. “When I started my scientific career, I studied the brain of the fly,” says Poggio. Nowadays, investigating that space between “brain” and “no brain” is what drives Poggio, the Eugene McDermott Professor of Brain and Cognitive Sciences, as he directs the Center for Brains, Minds, and Machines (CBMM), a multi-institutional collaboration headquartered at MIT’s McGovern Institute for Brain Research.


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