
In the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask. In The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World (Basic Books, 2018), Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and society. If data-ism is today's philosophy, this book is its bible. Pedro Domingos is a professor emeritus of computer science at the University of Washington. He is a winner of the SIGKDD Innovation Award, the highest honor in data science. A fellow of the Association for the Advancement of Artificial Intelligence, he lives near Seattle. Gregory McNiff is a Managing Director in the New York office of the Blueshirt Group, an IR firm focused on technology; he has a strong interest in literature, culture, religion, science and philosophy (translation: he's an eclectic reader who is constantly missing deadlines for book review). Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/science
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Janani Balasubramanian and Natalie Gosnell, "Art-Science Undisciplined: A Playbook for Transformative Collaboration" (U California Press, 2026)

Samuel Markind, "Music Between Your Ears: How Musical Engagement Powers the Human Brain" (JHU Press, 2025)

Yosef Grodzinsky, "How Deeply Human Is Language?: Chomsky, the Brain, and the AI Fantasy" (MIT Press, 2026)

Richard Elwes, "Huge Numbers: A Story of Counting Ambitiously, from 4 1/2 to Fish 7" (Basic Books, 2026)
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