Book Image

Architects of Intelligence

By : Martin Ford
Book Image

Architects of Intelligence

By: Martin Ford

Overview of this book

How will AI evolve and what major innovations are on the horizon? What will its impact be on the job market, economy, and society? What is the path toward human-level machine intelligence? What should we be concerned about as artificial intelligence advances? Architects of Intelligence contains a series of in-depth, one-to-one interviews where New York Times bestselling author, Martin Ford, uncovers the truth behind these questions from some of the brightest minds in the Artificial Intelligence community. Martin has wide-ranging conversations with twenty-three of the world's foremost researchers and entrepreneurs working in AI and robotics: Demis Hassabis (DeepMind), Ray Kurzweil (Google), Geoffrey Hinton (Univ. of Toronto and Google), Rodney Brooks (Rethink Robotics), Yann LeCun (Facebook) , Fei-Fei Li (Stanford and Google), Yoshua Bengio (Univ. of Montreal), Andrew Ng (AI Fund), Daphne Koller (Stanford), Stuart Russell (UC Berkeley), Nick Bostrom (Univ. of Oxford), Barbara Grosz (Harvard), David Ferrucci (Elemental Cognition), James Manyika (McKinsey), Judea Pearl (UCLA), Josh Tenenbaum (MIT), Rana el Kaliouby (Affectiva), Daniela Rus (MIT), Jeff Dean (Google), Cynthia Breazeal (MIT), Oren Etzioni (Allen Institute for AI), Gary Marcus (NYU), and Bryan Johnson (Kernel). Martin Ford is a prominent futurist, and author of Financial Times Business Book of the Year, Rise of the Robots. He speaks at conferences and companies around the world on what AI and automation might mean for the future. This is the hardcover edition of the book.
Table of Contents (28 chapters)
Architects of Intelligence
Introduction
2
YOSHUA BENGIO
3
STUART J. RUSSELL
4
GEOFFREY HINTON
5
NICK BOSTROM
6
YANN LECUN
7
FEI-FEI LI
8
DEMIS HASSABIS
9
ANDREW NG
10
RANA EL KALIOUBY
11
RAY KURZWEIL
12
DANIELA RUS
13
JAMES MANYIKA
14
GARY MARCUS
15
BARBARA J. GROSZ
16
JUDEA PEARL
17
JEFFREY DEAN
18
DAPHNE KOLLER
19
DAVID FERRUCCI
20
RODNEY BROOKS
21
CYNTHIA BREAZEAL
22
JOSHUA TENENBAUM
23
OREN ETZIONI
24
BRYAN JOHNSON
25
When Will Human-Level AI be Achieved? Survey Results

Chapter 6. YANN LECUN

A human can learn to drive a car in 15 hours of training without crashing into anything. If you want to use the current reinforcement learning methods to train a car to drive itself, the machine will have to drive off cliffs 10,000 times before it figures out how not to do that.

VP & CHIEF AI SCIENTIST, FACEBOOK PROFESSOR OF COMPUTER SCIENCE, NYU

Yann LeCun has been involved in the academic and industry side of AI and Machine Learning for over 30 years. Prior to joining Facebook, Yann worked at AT&T’s Bell Labs, where he is credited with developing convolutional neural networks—a machine learning architecture inspired by the brain’s visual cortex. Along with Geoff Hinton and Yoshua Bengio, Yann is part of a small group of researchers whose effort and persistence led directly to the current revolution in deep learning neural networks.

MARTIN FORD: Let’s jump right in and talk about the deep learning revolution that’s been unfolding over the past decade or so...