Deep learning discussed on the TED Radio Hour

Deep Learning / Ian Goodfellow, Joshua Bengio and
Aaron Courville.  MIT Press, 2016.

The TED Radio Hour on Friday, April 21, 2017 was titled The Digital Industrial Revolution, followed by the question, "As machine learning surpasses human intelligence, where does that leave us?"

During the session, TED speakers explored "ideas about the exciting — and terrifying — future of human-robot collaboration."

One of the speakers referenced deep learning, which immediately brought to mind this book on our new book shelf.  It defines deep learning as a "form of machine learning that enables computers to learn from experience and understand the work in terms of a hierarchy of concepts."  Seemingly benign, and the book's cover is soothing at first glance, with its profusion of blossoms.  On close examination, the cover art work has multiple layers of meaning, and it is this multiplicity of issues surrounding deep learning and neural networks that the TED Radio Hour speakers address.  It makes for fascinating listening!  The four talks are linked here:

• Erik Brynjolfsson: In A Race With Machines, Can We Keep Up?
• Marco Annunziata: What Will Human-Machine Collaboration Mean For Our Jobs?
• Maurice Conti: Can Machines Think And Feel For Themselves?
• Jeremy Howard: Will Artificial Intelligence Be The Last Human Invention?