How Smart Machines Think

Sean Gerrish

2018년 8월 · Tantor Media Inc · 내레이터: Timothy Andrés Pabon

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The future is here: Self-driving cars are on the streets, an algorithm gives you movie and TV recommendations, IBM's Watson triumphed on Jeopardy over puny human brains, computer programs can be trained to play Atari games. But how do all these things work? In this book, Sean Gerrish offers an engaging and accessible overview of the breakthroughs in artificial intelligence and machine learning that have made today's machines so smart. Gerrish outlines some of the key ideas that enable intelligent machines to perceive and interact with the world. He describes the software architecture that allows self-driving cars to stay on the road and to navigate crowded urban environments; the million-dollar Netflix competition for a better recommendation engine; and how programmers trained computers to perform certain behaviors by offering them treats, as if they were training a dog. He explains how artificial neural networks enable computers to perceive the world-and to play Atari video games better than humans. Gerrish weaves the stories behind these breakthroughs into the narrative, introducing listeners to many of the researchers involved, and keeping technical details to a minimum. Science and technology buffs will find this book an essential guide to a future in which machines can outsmart people.

저자 정보

Sean Gerrish is a software engineer and machine learning geek. He has worked as an engineer at Teza Technologies and as an engineering manager for machine learning and data science teams at Google. He holds a PhD in machine learning from Princeton University.

Timothy Andres Pabon is an actor and Spanish and English voice-over artist/audiobook narrator from Washington DC. He has recorded over 140 books, one of which was nominated for a 2015 Society of Voice Arts and Sciences Award and another which received an AudioFile Earphones Award as part of an ensemble cast in 2014.