Terrence Sejnowski Explains Deep Learning

We connected with  Terrence Sejnowski during the last go around of artificial intelligence, he was known for some classic AI applications of the time, so thought it would be useful to see his view of the current state of the technology.  He makes that case that back then you had to code an AI problem from the ground up.   Now, for some kinds of problems, and if you have enough of  the right data, you can have it learn its intelligence.  I see he has a book coming out on the topic as well that probably worth a look.  See also his page at the Salk Institute.

A pioneering scientist explains ‘deep learning’
Artificial intelligence meets human intelligence
By Angela Chen    @chengela in TheVerge

Buzzwords like “deep learning” and “neural networks” are everywhere, but so much of the popular understanding is misguided, says Terrence Sejnowski, a computational neuroscientist at the Salk Institute for Biological Studies.

Sejnowski, a pioneer in the study of learning algorithms, is the author of The Deep Learning Revolution (out next week from MIT Press). He argues that the hype about killer AI or robots making us obsolete ignores exciting possibilities happening in the fields of computer science and neuroscience, and what can happen when artificial intelligence meets human intelligence.

The Verge spoke to Sejnkowski about how “deep learning” suddenly became everywhere, what it can and cannot do, and the problem of hype.  .... '