NANO-CHIPS 2030 PDF Download
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Author: Boris Murmann
Publisher: Springer Nature
ISBN: 3030183386
Category : Science
Languages : en
Pages : 597
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Book 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.
Author: Boris Murmann
Publisher: Springer Nature
ISBN: 3030183386
Category : Science
Languages : en
Pages : 597
Get Book
Book 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.
Author: Michael Balaguera
Publisher: Trafford Publishing
ISBN: 1426963572
Category : Fiction
Languages : en
Pages : 278
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Book Description
"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.
Author:
Publisher: Astemari Publisher
ISBN: 9769522120
Category : Economic forecasting
Languages : en
Pages : 250
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Book Description
Author: Dominick E. Fazarro
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110781956
Category : Technology & Engineering
Languages : en
Pages : 226
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Book Description
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.
Author: Vikram Jain
Publisher: Springer Nature
ISBN: 3031382307
Category : Technology & Engineering
Languages : en
Pages : 199
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Book Description
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.
Author: Trupti Ranjan Lenka
Publisher: Springer Nature
ISBN: 9811923086
Category : Technology & Engineering
Languages : en
Pages : 519
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Book Description
This book presents select proceedings of the International Conference on Micro and Nanoelectronics Devices, Circuits and Systems (MNDCS-2022). The book includes cutting-edge research papers in the emerging fields of micro and nanoelectronics devices, circuits, and systems from experts working in these fields over the last decade. The book is a unique collection of chapters from different areas with a common theme and is immensely useful to academic researchers and practitioners in the industry who work in this field.
Author: Richard T. W. Arthur
Publisher: Springer
ISBN: 3030159485
Category : Science
Languages : en
Pages : 294
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Book Description
It is commonly held that there is no place for the 'now’ in physics, and also that the passing of time is something subjective, having to do with the way reality is experienced but not with the way reality is. Indeed, the majority of modern theoretical physicists and philosophers of physics contend that the passing of time is incompatible with modern physical theory, and excluded in a fundamental description of physical reality. This book provides a forceful rebuttal of such claims. In successive chapters the author explains the historical precedents of the modern opposition to time flow, giving careful expositions of matters relevant to becoming in classical physics, the special and general theories of relativity, and quantum theory, without presupposing prior expertise in these subjects. Analysing the arguments of thinkers ranging from Aristotle, Russell, and Bergson to the proponents of quantum gravity, he contends that the passage of time, understood as a local becoming of events out of those in their past at varying rates, is not only compatible with the theories of modern physics, but implicit in them.
Author: James B. Glattfelder
Publisher: Springer
ISBN: 3030036332
Category : Science
Languages : en
Pages : 662
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Book Description
This open access book chronicles the rise of a new scientific paradigm offering novel insights into the age-old enigmas of existence. Over 300 years ago, the human mind discovered the machine code of reality: mathematics. By utilizing abstract thought systems, humans began to decode the workings of the cosmos. From this understanding, the current scientific paradigm emerged, ultimately discovering the gift of technology. Today, however, our island of knowledge is surrounded by ever longer shores of ignorance. Science appears to have hit a dead end when confronted with the nature of reality and consciousness. In this fascinating and accessible volume, James Glattfelder explores a radical paradigm shift uncovering the ontology of reality. It is found to be information-theoretic and participatory, yielding a computational and programmable universe.
Author: James Canton
Publisher: Da Capo Press, Incorporated
ISBN: 0306822865
Category : Business & Economics
Languages : en
Pages : 402
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Book Description
From the Chairman of the Institute for Global Futures, a forecast of game-changing trendsÑand how to manage and profit from them to better your life
Author: Laura Isabel Galindez Olascoaga
Publisher: Springer Nature
ISBN: 3030740420
Category : Technology & Engineering
Languages : en
Pages : 163
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Book Description
This book proposes probabilistic machine learning models that represent the hardware properties of the device hosting them. These models can be used to evaluate the impact that a specific device configuration may have on resource consumption and performance of the machine learning task, with the overarching goal of balancing the two optimally. The book first motivates extreme-edge computing in the context of the Internet of Things (IoT) paradigm. Then, it briefly reviews the steps involved in the execution of a machine learning task and identifies the implications associated with implementing this type of workload in resource-constrained devices. The core of this book focuses on augmenting and exploiting the properties of Bayesian Networks and Probabilistic Circuits in order to endow them with hardware-awareness. The proposed models can encode the properties of various device sub-systems that are typically not considered by other resource-aware strategies, bringing about resource-saving opportunities that traditional approaches fail to uncover. The performance of the proposed models and strategies is empirically evaluated for several use cases. All of the considered examples show the potential of attaining significant resource-saving opportunities with minimal accuracy losses at application time. Overall, this book constitutes a novel approach to hardware-algorithm co-optimization that further bridges the fields of Machine Learning and Electrical Engineering.
