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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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Detalles Bibliográficos
Autores principales: Murmann, Boris, Hoefflinger, Bernd
Lenguaje:eng
Publicado: Springer 2020
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-030-18338-7
http://cds.cern.ch/record/2720392