Book
The creativity code : art and innovation in the age of AI / Marcus du Sautoy.
Most books on AI focus on the future of work. But now that algorithms can learn and adapt, does the future of creativity also belong to well-programmed machines? To answer this question, Marcus du Sautoy takes us to the forefront of creative new technologies and offers a more positive and unexpected vision of our future cohabitation with machines--Provided by publisher.
"Can a well-programmed machine do anything a human can--only better? Complex algorithms are choosing our music, picking our partners, and driving our investments. They can navigate more data than a doctor or lawyer and act with greater precision. For many years we've taken solace in the notion that they can't create. But now that algorithms can learn and adapt, does the future of creativity belong to machines, too? It is hard to imagine a better guide to the bewildering world of artificial intelligence than Marcus du Sautoy, a celebrated Oxford mathematician whose work on symmetry in the ninth dimension has taken him to the vertiginous edge of mathematical understanding. In The Creativity Code he considers what machine learning means for the future of creativity. The Pollockizer can produce drip paintings in the style of Jackson Pollock, Botnik spins off fanciful (if improbable) scenes inspired by J. K. Rowling, and the music-composing algorithm Emmy managed to fool a panel of Bach experts. But do these programs just mimic, or do they have what it takes to create? Du Sautoy argues that to answer this question, we need to understand how the algorithms that drive them work--and this brings him back to his own subject of mathematics, with its puzzles, constraints, and enticing possibilities. While most recent books on AI focus on the future of work, The Creativity Code moves us to the forefront of creative new technologies and offers a more positive and unexpected vision of our future cohabitation with machines. It challenges us to reconsider what it means to be human--and to crack the creativity code"--From back cover.
Record details
- ISBN: 9780674988132
- ISBN: 0674988132
- Physical Description: 312 pages : illustrations ; 25 cm
- Edition: First US edition.
- Publisher: Cambridge, Massachusetts : The Belknap Press of Harvard University Press, 2019.
- Copyright: ©2019
Content descriptions
| General Note: | "First published in the United Kingdom in 2019 as The Creativity Code: How AI Is Learning to Write, Paint and Think by Fourth Estate, an imprint of HarperCollins Publishers, London. First U.S. edition published by Harvard University Press, 2019"--Title page verso. |
| Bibliography, etc. Note: | Includes bibliographical references and index. |
| Formatted Contents Note: | The Lovelace Test -- Three types of creativity -- Ready steady go -- Algorithms, the secret to modern life -- From top-down to bottom-up -- Algorithmic evolution -- Painting by numbers -- Learning from the masters -- The art of mathematics -- The mathematician's telescope -- Music : the process of sounding mathematics -- The song-writing formula -- Deepmathematics -- Language games -- Let AI tell you a story -- Why we create : a meeting of minds. |
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Show Only Available Copies
| Location | Call Number / Copy Notes | Barcode | Shelving Location | Status | Due Date |
|---|---|---|---|---|---|
| Homer Public Library | 006.3 DUS (Text) | 000164707 | Nonfiction | Available | - |
Summary:
Most books on AI focus on the future of work. But now that algorithms can learn and adapt, does the future of creativity also belong to well-programmed machines? To answer this question, Marcus du Sautoy takes us to the forefront of creative new technologies and offers a more positive and unexpected vision of our future cohabitation with machines--Provided by publisher.
"Can a well-programmed machine do anything a human can--only better? Complex algorithms are choosing our music, picking our partners, and driving our investments. They can navigate more data than a doctor or lawyer and act with greater precision. For many years we've taken solace in the notion that they can't create. But now that algorithms can learn and adapt, does the future of creativity belong to machines, too? It is hard to imagine a better guide to the bewildering world of artificial intelligence than Marcus du Sautoy, a celebrated Oxford mathematician whose work on symmetry in the ninth dimension has taken him to the vertiginous edge of mathematical understanding. In The Creativity Code he considers what machine learning means for the future of creativity. The Pollockizer can produce drip paintings in the style of Jackson Pollock, Botnik spins off fanciful (if improbable) scenes inspired by J. K. Rowling, and the music-composing algorithm Emmy managed to fool a panel of Bach experts. But do these programs just mimic, or do they have what it takes to create? Du Sautoy argues that to answer this question, we need to understand how the algorithms that drive them work--and this brings him back to his own subject of mathematics, with its puzzles, constraints, and enticing possibilities. While most recent books on AI focus on the future of work, The Creativity Code moves us to the forefront of creative new technologies and offers a more positive and unexpected vision of our future cohabitation with machines. It challenges us to reconsider what it means to be human--and to crack the creativity code"--From back cover.
"Can a well-programmed machine do anything a human can--only better? Complex algorithms are choosing our music, picking our partners, and driving our investments. They can navigate more data than a doctor or lawyer and act with greater precision. For many years we've taken solace in the notion that they can't create. But now that algorithms can learn and adapt, does the future of creativity belong to machines, too? It is hard to imagine a better guide to the bewildering world of artificial intelligence than Marcus du Sautoy, a celebrated Oxford mathematician whose work on symmetry in the ninth dimension has taken him to the vertiginous edge of mathematical understanding. In The Creativity Code he considers what machine learning means for the future of creativity. The Pollockizer can produce drip paintings in the style of Jackson Pollock, Botnik spins off fanciful (if improbable) scenes inspired by J. K. Rowling, and the music-composing algorithm Emmy managed to fool a panel of Bach experts. But do these programs just mimic, or do they have what it takes to create? Du Sautoy argues that to answer this question, we need to understand how the algorithms that drive them work--and this brings him back to his own subject of mathematics, with its puzzles, constraints, and enticing possibilities. While most recent books on AI focus on the future of work, The Creativity Code moves us to the forefront of creative new technologies and offers a more positive and unexpected vision of our future cohabitation with machines. It challenges us to reconsider what it means to be human--and to crack the creativity code"--From back cover.