How to speak machine : computational thinking for the rest of us / John Maeda.
"John Maeda is one of the world's preeminent interdisciplinary thinkers on technology and design. In How to Speak Machine, he offers a set of simple laws that govern not only the computers of today, but the unimaginable machines of the future. Technology is already more powerful than we ca...
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
[New York] :
Portfolio/Penguin,
[2019]
|
| Subjects: |
MARC
| LEADER | 00000cam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | b10863932 | ||
| 003 | CoU | ||
| 008 | 190820t20192019nyua b 001 0 eng d | ||
| 005 | 20230817232612.7 | ||
| 010 | |a 2019949382 | ||
| 020 | |a 039956442X |q (hardcover) | ||
| 020 | |a 9780399564420 |q (hardcover) | ||
| 035 | |a (OCoLC)ocn1120198200 | ||
| 035 | |a (OCoLC)1120198200 | ||
| 040 | |a UKMGB |b eng |e rda |c UKMGB |d OCLCO |d OCLCF |d CMI |d OCLCO |d YDX |d IK2 |d OQX |d DLC |d ORE | ||
| 049 | |a CODA | ||
| 050 | 1 | 4 | |a QA76.9.L63 |b M34 2019 |
| 100 | 1 | |a Maeda, John, |e author. |0 http://id.loc.gov/authorities/names/n98080880 |1 http://isni.org/isni/0000000108919140. | |
| 245 | 1 | 0 | |a How to speak machine : |b computational thinking for the rest of us / |c John Maeda. |
| 264 | 1 | |a [New York] : |b Portfolio/Penguin, |c [2019] | |
| 264 | 4 | |c ©2019. | |
| 300 | |a xv, 224 pages : |b illustrations ; |c 22 cm. | ||
| 336 | |a text |b txt |2 rdacontent. | ||
| 337 | |a unmediated |b n |2 rdamedia. | ||
| 338 | |a volume |b nc |2 rdacarrier. | ||
| 504 | |a Includes bibliographical references (pages 203-215) and index. | ||
| 520 | |a "John Maeda is one of the world's preeminent interdisciplinary thinkers on technology and design. In How to Speak Machine, he offers a set of simple laws that govern not only the computers of today, but the unimaginable machines of the future. Technology is already more powerful than we can comprehend, and getting more powerful at an exponential pace. Once set in motion, algorithms never tire. And when a program's size, speed, and tirelessness combine with its ability to learn and transform itself, the outcome can be unpredictable and dangerous. Take the seemingly instant transformation of Microsoft's chatbot Tay into a hate-spewing racist, or how crime-predicting algorithms reinforce racial bias. How to Speak Machine provides a coherent framework for today's product designers, business leaders, and policymakers to grasp this brave new world. Drawing on his wide-ranging experience from engineering to computer science to design, Maeda shows how businesses and individuals can identify opportunities afforded by technology to make world-changing and inclusive products--while avoiding the pitfalls inherent to the medium"-- |c Provided by publisher. | ||
| 650 | 0 | |a Computer logic |v Popular works. | |
| 650 | 0 | |a Computer algorithms |v Popular works. | |
| 650 | 0 | |a Electronic data processing |x Social aspects |v Popular works. | |
| 650 | 0 | |a Machine theory. |0 http://id.loc.gov/authorities/subjects/sh85079341. | |
| 650 | 0 | |a Product design. |0 http://id.loc.gov/authorities/subjects/sh2010012117. | |
| 650 | 7 | |a Machine theory. |2 fast |0 (OCoLC)fst01004846. | |
| 650 | 7 | |a Product design. |2 fast |0 (OCoLC)fst01763003. | |
| 907 | |a .b108639320 |b 03-20-20 |c 12-31-19 | ||
| 998 | |a eng |b 01-29-20 |c k |d m |e - |f eng |g nyu |h 0 |i 1 | ||
| 907 | |a .b108639320 |b 01-29-20 |c 12-31-19 | ||
| 944 | |a MARS - RDA ENRICHED | ||
| 948 | |a jan/20 : gil | ||
| 999 | f | f | |i fb8488d1-d3cc-54c5-9dbe-f3781f38af45 |s fff4f83f-9677-5401-8063-f8f41bd18ab0 |
| 952 | f | f | |p Popular Reading Collections |a University of Colorado Boulder |b Boulder Campus |c Engineering Math & Physics |d Engineering Math & Physics Library - Popular Reading |e QA76.9.L63 M34 2019 |h Library of Congress classification |i Mona |m U183074846915 |n 1 |