Rebooting AI Rebooting AI

Rebooting AI

Building Artificial Intelligence We Can Trust

    • ¥2,000

発行者による作品情報

Two leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a robust artificial intelligence that can make our lives better.

“Finally, a book that tells us what AI is, what AI is not, and what AI could become if only we are ambitious and creative enough.” —Garry Kasparov, former world chess champion and author of Deep Thinking


Despite the hype surrounding AI, creating an intelligence that rivals or exceeds human levels is far more complicated than we have been led to believe. Professors Gary Marcus and Ernest Davis have spent their careers at the forefront of AI research and have witnessed some of the greatest milestones in the field, but they argue that a computer beating a human in Jeopardy! does not signal that we are on the doorstep of fully autonomous cars or superintelligent machines. The achievements in the field thus far have occurred in closed systems with fixed sets of rules, and these approaches are too narrow to achieve genuine intelligence.

The real world, in contrast, is wildly complex and open-ended. How can we bridge this gap? What will the consequences be when we do? Taking inspiration from the human mind, Marcus and Davis explain what we need to advance AI to the next level, and suggest that if we are wise along the way, we won't need to worry about a future of machine overlords. If we focus on endowing machines with common sense and deep understanding, rather than simply focusing on statistical analysis and gatherine ever larger collections of data, we will be able to create an AI we can trust—in our homes, our cars, and our doctors' offices. Rebooting AI provides a lucid, clear-eyed assessment of the current science and offers an inspiring vision of how a new generation of AI can make our lives better.

ジャンル
コンピュータ/インターネット
発売日
2019年
9月10日
言語
EN
英語
ページ数
288
ページ
発行者
Knopf Doubleday Publishing Group
販売元
Penguin Random House LLC
サイズ
15.9
MB
The Scaling Era The Scaling Era
2025年
You Look Like a Thing and I Love You You Look Like a Thing and I Love You
2019年
Mastering AI Mastering AI
2024年
Reflections on Intelligence Reflections on Intelligence
2016年
Heart of the Machine Heart of the Machine
2017年
The Master Algorithm The Master Algorithm
2015年
Kluge Kluge
2009年
Guitar Zero Guitar Zero
2012年
The Birth of the Mind The Birth of the Mind
2008年
Guitar Zero Guitar Zero
2012年
Genius Makers Genius Makers
2021年
Why Machines Learn Why Machines Learn
2024年
Weapons of Math Destruction Weapons of Math Destruction
2016年
A World Without Email A World Without Email
2021年
The Art of Doing Science and Engineering The Art of Doing Science and Engineering
2020年
The Worlds I See The Worlds I See
2023年