How to speak machine: computational thinking for the rest of us
"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...
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Buch |
Sprache: | English |
Veröffentlicht: |
[New York]
Portfolio//Penguin
[2019]
|
Ausgabe: | international edition |
Schlagworte: | |
Zusammenfassung: | "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"-- |
Beschreibung: | Includes bibliographical references and index |
Beschreibung: | xv, 224 pages Illustrationen 22 cm |
ISBN: | 9780399564420 |
Internformat
MARC
LEADER | 00000nam a2200000 c 4500 | ||
---|---|---|---|
001 | BV049007593 | ||
003 | DE-604 | ||
005 | 00000000000000.0 | ||
007 | t | ||
008 | 230616s2019 xxua||| |||| 00||| eng d | ||
020 | |a 9780399564420 |c hardcover |9 978-0-399-56442-0 | ||
035 | |a (OCoLC)1179007649 | ||
035 | |a (DE-599)KXP1686494033 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
044 | |a xxu |c XD-US | ||
049 | |a DE-573 | ||
084 | |a ST 300 |0 (DE-625)143650: |2 rvk | ||
100 | 1 | |a Maeda, John |d 1966- |e Verfasser |0 (DE-588)122724399 |4 aut | |
245 | 1 | 0 | |a How to speak machine |b computational thinking for the rest of us |c John Maeda |
250 | |a international edition | ||
264 | 1 | |a [New York] |b Portfolio//Penguin |c [2019] | |
300 | |a xv, 224 pages |b Illustrationen |c 22 cm | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
500 | |a Includes bibliographical references and index | ||
520 | 3 | |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"-- | |
650 | 0 | 7 | |a Künstliche Intelligenz |0 (DE-588)4033447-8 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Maschine |0 (DE-588)4037786-6 |2 gnd |9 rswk-swf |
653 | 0 | |a Computer logic / Popular works | |
653 | 0 | |a Computer algorithms / Popular works | |
653 | 0 | |a Electronic data processing / Social aspects / Popular works | |
653 | 0 | |a Machine theory | |
653 | 0 | |a Product design | |
653 | 0 | |a Machine theory | |
653 | 0 | |a Product design | |
689 | 0 | 0 | |a Künstliche Intelligenz |0 (DE-588)4033447-8 |D s |
689 | 0 | 1 | |a Maschine |0 (DE-588)4037786-6 |D s |
689 | 0 | |5 DE-604 | |
776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-0-399-56443-7 |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe, international edition |z 9780593086322 |
999 | |a oai:aleph.bib-bvb.de:BVB01-034270707 |
Datensatz im Suchindex
_version_ | 1804185275086143488 |
---|---|
adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author | Maeda, John 1966- |
author_GND | (DE-588)122724399 |
author_facet | Maeda, John 1966- |
author_role | aut |
author_sort | Maeda, John 1966- |
author_variant | j m jm |
building | Verbundindex |
bvnumber | BV049007593 |
classification_rvk | ST 300 |
ctrlnum | (OCoLC)1179007649 (DE-599)KXP1686494033 |
discipline | Informatik |
discipline_str_mv | Informatik |
edition | international edition |
format | Book |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02833nam a2200481 c 4500</leader><controlfield tag="001">BV049007593</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">230616s2019 xxua||| |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780399564420</subfield><subfield code="c">hardcover</subfield><subfield code="9">978-0-399-56442-0</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1179007649</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KXP1686494033</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">xxu</subfield><subfield code="c">XD-US</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-573</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 300</subfield><subfield code="0">(DE-625)143650:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Maeda, John</subfield><subfield code="d">1966-</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)122724399</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">How to speak machine</subfield><subfield code="b">computational thinking for the rest of us</subfield><subfield code="c">John Maeda</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">international edition</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">[New York]</subfield><subfield code="b">Portfolio//Penguin</subfield><subfield code="c">[2019]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">xv, 224 pages</subfield><subfield code="b">Illustrationen</subfield><subfield code="c">22 cm</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="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"--</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Künstliche Intelligenz</subfield><subfield code="0">(DE-588)4033447-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Maschine</subfield><subfield code="0">(DE-588)4037786-6</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Computer logic / Popular works</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Computer algorithms / Popular works</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Electronic data processing / Social aspects / Popular works</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Machine theory</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Product design</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Machine theory</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Product design</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Künstliche Intelligenz</subfield><subfield code="0">(DE-588)4033447-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Maschine</subfield><subfield code="0">(DE-588)4037786-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Online-Ausgabe</subfield><subfield code="z">978-0-399-56443-7</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe, international edition</subfield><subfield code="z">9780593086322</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-034270707</subfield></datafield></record></collection> |
id | DE-604.BV049007593 |
illustrated | Illustrated |
index_date | 2024-07-03T22:10:44Z |
indexdate | 2024-07-10T09:52:38Z |
institution | BVB |
isbn | 9780399564420 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034270707 |
oclc_num | 1179007649 |
open_access_boolean | |
owner | DE-573 |
owner_facet | DE-573 |
physical | xv, 224 pages Illustrationen 22 cm |
publishDate | 2019 |
publishDateSearch | 2019 |
publishDateSort | 2019 |
publisher | Portfolio//Penguin |
record_format | marc |
spelling | Maeda, John 1966- Verfasser (DE-588)122724399 aut How to speak machine computational thinking for the rest of us John Maeda international edition [New York] Portfolio//Penguin [2019] xv, 224 pages Illustrationen 22 cm txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references and index "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"-- Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Maschine (DE-588)4037786-6 gnd rswk-swf Computer logic / Popular works Computer algorithms / Popular works Electronic data processing / Social aspects / Popular works Machine theory Product design Künstliche Intelligenz (DE-588)4033447-8 s Maschine (DE-588)4037786-6 s DE-604 Erscheint auch als Online-Ausgabe 978-0-399-56443-7 Erscheint auch als Druck-Ausgabe, international edition 9780593086322 |
spellingShingle | Maeda, John 1966- How to speak machine computational thinking for the rest of us Künstliche Intelligenz (DE-588)4033447-8 gnd Maschine (DE-588)4037786-6 gnd |
subject_GND | (DE-588)4033447-8 (DE-588)4037786-6 |
title | How to speak machine computational thinking for the rest of us |
title_auth | How to speak machine computational thinking for the rest of us |
title_exact_search | How to speak machine computational thinking for the rest of us |
title_exact_search_txtP | How to speak machine computational thinking for the rest of us |
title_full | How to speak machine computational thinking for the rest of us John Maeda |
title_fullStr | How to speak machine computational thinking for the rest of us John Maeda |
title_full_unstemmed | How to speak machine computational thinking for the rest of us John Maeda |
title_short | How to speak machine |
title_sort | how to speak machine computational thinking for the rest of us |
title_sub | computational thinking for the rest of us |
topic | Künstliche Intelligenz (DE-588)4033447-8 gnd Maschine (DE-588)4037786-6 gnd |
topic_facet | Künstliche Intelligenz Maschine |
work_keys_str_mv | AT maedajohn howtospeakmachinecomputationalthinkingfortherestofus |