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NANO-CHIPS 2030

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Author :
Release : 2020-06-08
Genre : Science
Kind : eBook
Book Rating : 386/5 ( reviews)

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Book Synopsis NANO-CHIPS 2030 by : Boris Murmann

Download or read book NANO-CHIPS 2030 written by Boris Murmann. This book was released on 2020-06-08. Available in PDF, EPUB and Kindle. Book excerpt: 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.

2030 / Five from the Bay

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Release : 2011-04-20
Genre : Fiction
Kind : eBook
Book Rating : 572/5 ( reviews)

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Book Synopsis 2030 / Five from the Bay by : Michael Balaguera

Download or read book 2030 / Five from the Bay written by Michael Balaguera. This book was released on 2011-04-20. Available in PDF, EPUB and Kindle. Book excerpt: "2030 / Five From The Bay" is a wonderful book. Through my vivid imagination and key board, I tell the history of five young men from Sheepshead Bay, Brooklyn ,New York, who attended elite universities, excelling to the top of their class. Enjoying the infrequent taste of money, they choose a life of crime, rather than using their brilliant minds to accomplish great things. After a killing spree, they are caught, prosecuted and sentenced to death. Thanks to Briprest Technologies, these individuals are selected to travel deep into space far beyond the reaches ever explored by mankind, accomplishing one of the greatest achievements in human history. In exchange for leaving their small jail cells, David, Anthony and Shen accept this one way ticket into space exploration to be the first humans to touch the borders of the Black Hole.

USA 2030 Predictions

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Author :
Release : 2007
Genre : Economic forecasting
Kind : eBook
Book Rating : 120/5 ( reviews)

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Book Synopsis USA 2030 Predictions by :

Download or read book USA 2030 Predictions written by . This book was released on 2007. Available in PDF, EPUB and Kindle. Book excerpt:

Nano-Safety

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Author :
Release : 2023-12-31
Genre : Technology & Engineering
Kind : eBook
Book Rating : 956/5 ( reviews)

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Book Synopsis Nano-Safety by : Dominick E. Fazarro

Download or read book Nano-Safety written by Dominick E. Fazarro. This book was released on 2023-12-31. Available in PDF, EPUB and Kindle. Book excerpt: Nanotechnology safety is the practice of handling engineered nanomaterials in production and manufacturing. Good practice consists of understanding and interpreting Material Safety Data Sheets, behaving safely when working with yet unknown nanomaterials, understanding health effects, and proactively creating safety measures against potential hazards. This book addresses nanotechnology risk management.

Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning

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Author :
Release : 2023-09-15
Genre : Technology & Engineering
Kind : eBook
Book Rating : 307/5 ( reviews)

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Book Synopsis Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning by : Vikram Jain

Download or read book Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning written by Vikram Jain. This book was released on 2023-09-15. Available in PDF, EPUB and Kindle. Book excerpt: This book explores and motivates the need for building homogeneous and heterogeneous multi-core systems for machine learning to enable flexibility and energy-efficiency. Coverage focuses on a key aspect of the challenges of (extreme-)edge-computing, i.e., design of energy-efficient and flexible hardware architectures, and hardware-software co-optimization strategies to enable early design space exploration of hardware architectures. The authors investigate possible design solutions for building single-core specialized hardware accelerators for machine learning and motivates the need for building homogeneous and heterogeneous multi-core systems to enable flexibility and energy-efficiency. The advantages of scaling to heterogeneous multi-core systems are shown through the implementation of multiple test chips and architectural optimizations.

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