AI: A Broad and a Different Perspective. Questo articolo non è disponibile.
Lingua: inglese
Editore: Springer, 2025
Serie: Libro 395 di 472 - SpringerBriefs in Applied Sciences and Technology
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Descrizione dell’articolo da parte del venditore
AI: A Broad and a Different Perspective | Paolo Massimo Buscema (u. a.) | Taschenbuch | SpringerBriefs in Applied Sciences and Technology | xvi | Englisch | 2025 | Springer | EAN 9783031805998 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Codice articolo 131740669
- Titolo
- AI: A Broad and a Different Perspective
- Autore
- Paolo Massimo Buscema (u. a.)
- Editore
- Springer
- Anno di pubblicazione
- 2025
- Condizione
- Neu
- Rilegatura
- Taschenbuch
- Lingua
- inglese
- ISBN 10
- 3031805992
- ISBN 13
- 9783031805998
- Peso dell'articolo
- 184 grammi
- Dimensioni
- 235 x 155 x 6 mm
- Serie
- Libro 395 di 472: SpringerBriefs in Applied Sciences and Technology
- Cataloghi dei venditori
- Bücher
One of the primary objectives of this book is to highlight the profound difference between two types of AI that pursue distinct goals: emulative AI, which seeks to build machines whose output is similar to, or even superior to, that of the human brain, and investigative AI, whose purpose is to make invisible information within data visible by uncovering the laws through which individual behaviors self-organize into collective behaviors. The former is better known, as it serves as a useful tool for automating human labor and generating market profits; the latter is less widely recognized but is more scientifically oriented towards saving lives (in the medical field), explaining otherwise inexplicable phenomena (in the geophysical field), and enhancing our understanding of the material and abstract world. Both are valuable yet distinct: the emulative approach generates immediate profits and creates illusions of human-like power, while the investigative approach enhances fundamental scientific research and will yield its greatest benefits over time. The investigative approach presented in this volume seeks to rebuild the bridge between humanity and nature.
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Dalla quarta di copertina
One of the primary objectives of this book is to highlight the profound difference between two types of AI that pursue distinct goals: emulative AI, which seeks to build machines whose output is similar to, or even superior to, that of the human brain, and investigative AI, whose purpose is to make invisible information within data visible by uncovering the laws through which individual behaviors self-organize into collective behaviors. The former is better known, as it serves as a useful tool for automating human labor and generating market profits; the latter is less widely recognized but is more scientifically oriented towards saving lives (in the medical field), explaining otherwise inexplicable phenomena (in the geophysical field), and enhancing our understanding of the material and abstract world. Both are valuable yet distinct: the emulative approach generates immediate profits and creates illusions of human-like power, while the investigative approach enhances fundamental scientific research and will yield its greatest benefits over time. The investigative approach presented in this volume seeks to rebuild the bridge between humanity and nature.
"Descrizione articolo" può appartenere a un’altra edizione di questo titolo.