Name: The Proof in the Code: How a Truth Machine Is Transforming Math and AI (en Inglés)
SKU: 66153721
Price: 31.66 USD
Availability: InStock
Author: Hartnett, Kevin

portada The Proof in the Code: How a Truth Machine Is Transforming Math and AI (en Inglés)

The Proof in the Code: How a Truth Machine Is Transforming Math and AI (en Inglés)

Formato

Libro Físico

Editorial

Quanta Books

Autor

Hartnett, Kevin

Idioma

Inglés

N° páginas

288

Encuadernación

Tapa Dura

Dimensiones

22.9x15.2x2.5 cm

ISBN13

9780374620059

The Proof in the Code: How a Truth Machine Is Transforming Math and AI (en Inglés)

Hartnett, Kevin (Autor) · Quanta Books · Tapa Dura

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Reseña del libro "The Proof in the Code: How a Truth Machine Is Transforming Math and AI (en Inglés)"

The inside story of Lean, a computer program that answers the age-old question: How do you know if something is true? It began as an obscure bug-checking program at Microsoft Research developed by a lone computer engineer named Leo de Moura. Then an unlikely crew of mathematical misfits caught wind of it and began to adopt it with messianic zeal. Their goal was to create a truth machine that could provide the rarest of all commodities in life: a complete, 100 percent guarantee that something is true. Its name: Lean. As the movement grew and strengthened the program's capabilities, it drew in two of the world's most prominent mathematicians: Peter Scholze and Terence Tao. Google DeepMind, Meta AI, and other tech firms started using the program to supercharge computer reasoning. Now it's remaking the multi-thousand-year history of how mathematicians work, collaborate, and assess truth, while charting a new path in the march toward machine intelligence. In The Proof in the Code, Kevin Hartnett tells the definitive story of the birth and rise of Lean, and how a growing movement is transforming the enterprise of mathematics and ushering in a new era of human-computer collaboration. An engrossing, character driven narrative filled with insights about the future of math, computers, and AI, this brilliant work of journalism from one of the world's leading math writers offers a profound answer to the question: Can computers reveal universal truths?