Talk by Gary Marcus in DMP 110

Title: Deep Learning: A Critical Appraisal

Although deep learning has historical roots going back decades, neither the term “deep learning” nor the approach was popular as recently as five years ago, before the field was reignited by papers such as Krizhevsky, Sutskever, and Hinton’s now classic 2012 deep net model of Imagenet. What has the field discovered in the five subsequent years? Against a background of considerable progress in areas such as speech recognition, image recognition, and game playing, and considerable enthusiasm in the popular press, at least ten deep concerns remain for deep learning. They suggest that if we are to reach artificial general intelligence, deep learning must be supplemented by other techniques.

Bio: 

Gary Marcus, scientist, bestselling author, entrepreneur, and AI contrarian, was CEO and Founder of the machine learning startup Geometric Intelligence, recently acquired by Uber.

As a Professor of Psychology and Neural Science at NYU, he jas published extensively in fields ranging from human and animal behavior to neuroscience, genetics, and artificial intelligence, often in leading journals such as Science and Nature.

As a writer, he contributes frequently to the The New Yorker and TheNew York Times, and is the author of four books, including The Algebraic Mind, Kluge:The Haphazard Evolution of the Human Mind, and The New York Times Bestseller, Guitar Zero, and also editor of the recent book,The Future of the Brain: Essays By The World's Leading Neuroscientists

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