NANO-CHIPS 2030 : On-Chip AI for an Efficient Data-Driven World /

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...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Murmann, Boris (Editor), Hoefflinger, Bernd (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2020.
Edition:1st ed. 2020.
Series:The Frontiers Collection,
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Call Number: QC176.8.N35T174.7
 
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