NANO-CHIPS 2030

On-Chip AI for an Efficient Data-Driven World de

,

Éditeur :

Springer


Collection :

The Frontiers Collection

Paru le : 2020-06-08

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126,59

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Description
In this book, a global team of experts from academia, research institutes and industry presents their vision on how new nano-chip architectures will enable the performance and energy efficiency needed for AI-driven advancements in autonomous mobility, healthcare, and man-machine cooperation. Recent reviews of the status quo, as presented in CHIPS 2020 (Springer), have prompted the need for an urgent reassessment of opportunities in nanoelectronic information technology. As such, this book explores the foundations of a new era in nanoelectronics that will drive progress in intelligent chip systems for energy-efficient information technology, on-chip deep learning for data analytics, and quantum computing. Given its scope, this book provides a timely compendium that hopes to inspire and shape the future of nanoelectronics in the decades to come. 
Pages
592 pages
Collection
The Frontiers Collection
Parution
2020-06-08
Marque
Springer
EAN papier
9783030183370
EAN PDF
9783030183387

Informations sur l'ebook
Nombre pages copiables
5
Nombre pages imprimables
59
Taille du fichier
36045 Ko
Prix
126,59 €
EAN EPUB
9783030183387

Informations sur l'ebook
Nombre pages copiables
5
Nombre pages imprimables
59
Taille du fichier
164372 Ko
Prix
126,59 €