Verlag: Wiley-IEEE Press (edition 1), 2022
ISBN 10: 111985833X ISBN 13: 9781119858331
Sprache: Englisch
Anbieter: BooksRun, Philadelphia, PA, USA
Hardcover. Zustand: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 96,51
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In den WarenkorbZustand: New.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
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In den WarenkorbZustand: New.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 142,96
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In den WarenkorbHardcover. Zustand: Brand New. 250 pages. 0.39x0.39x0.39 inches. In Stock.
Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. 2021. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland.
Anbieter: Kennys Bookstore, Olney, MD, USA
EUR 154,20
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In den WarenkorbZustand: New. 2022. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - ARTIFICIAL INTELLIGENCE HARDWARE DESIGNLearn foundational and advanced topics in Neural Processing Unit design with real-world examples from leading voices in the fieldIn Artificial Intelligence Hardware Design: Challenges and Solutions, distinguished researchers and authors Drs. Albert Chun Chen Liu and Oscar Ming Kin Law deliver a rigorous and practical treatment of the design applications of specific circuits and systems for accelerating neural network processing. Beginning with a discussion and explanation of neural networks and their developmental history, the book goes on to describe parallel architectures, streaming graphs for massive parallel computation, and convolution optimization.The authors offer readers an illustration of in-memory computation through Georgia Tech's Neurocube and Stanford's Tetris accelerator using the Hybrid Memory Cube, as well as near-memory architecture through the embedded eDRAM of the Institute of Computing Technology, the Chinese Academy of Science, and other institutions.Readers will also find a discussion of 3D neural processing techniques to support multiple layer neural networks, as well as information like:\* A thorough introduction to neural networks and neural network development history, as well as Convolutional Neural Network (CNN) models\* Explorations of various parallel architectures, including the Intel CPU, Nvidia GPU, Google TPU, and Microsoft NPU, emphasizing hardware and software integration for performance improvement\* Discussions of streaming graph for massive parallel computation with the Blaize GSP and Graphcore IPU\* An examination of how to optimize convolution with UCLA Deep Convolutional Neural Network accelerator filter decompositionPerfect for hardware and software engineers and firmware developers, Artificial Intelligence Hardware Design is an indispensable resource for anyone working with Neural Processing Units in either a hardware or software capacity.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - Understanding Artificial IntelligenceProvides students across majors with a clear and accessible overview of new artificial intelligence technologies and applicationsArtificial intelligence (AI) is broadly defined as computers programmed to simulate the cognitive functions of the human mind. In combination with the Neural Network (NN), Big Data (BD), and the Internet of Things (IoT), artificial intelligence has transformed everyday life: self-driving cars, delivery drones, digital assistants, facial recognition devices, autonomous vacuum cleaners, and mobile navigation apps all rely on AI to perform tasks. With the rise of artificial intelligence, the job market of the near future will be radically different many jobs will disappear, yet new jobs and opportunities will emerge.Understanding Artificial Intelligence: Fundamentals and Applications covers the fundamental concepts and key technologies of AI while exploring its impact on the future of work. Requiring no previous background in artificial intelligence, this easy-to-understand textbook addresses AI challenges in healthcare, finance, retail, manufacturing, agriculture, government, and smart city development. Each chapter includes simple computer laboratories to teach students how to develop artificial intelligence applications and integrate software and hardware for robotic development. In addition, this text:\* Focuses on artificial intelligence applications in different industries and sectors\* Traces the history of neural networks and explains popular neural network architectures\* Covers AI technologies, such as Machine Vision (MV), Natural Language Processing (NLP), and Unmanned Aerial Vehicles (UAV)\* Describes various artificial intelligence computational platforms, including Google Tensor Processing Unit (TPU) and Kneron Neural Processing Unit (NPU)\* Highlights the development of new artificial intelligence hardware and architecturesUnderstanding Artificial Intelligence: Fundamentals and Applications is an excellent textbook for undergraduates in business, humanities, the arts, science, healthcare, engineering, and many other disciplines. It is also an invaluable guide for working professionals wanting to learn about the ways AI is changing their particular field.
Anbieter: preigu, Osnabrück, Deutschland
Buch. Zustand: Neu. Artificial Intelligence Hardware Design | Challenges and Solutions | Albert Chun-Chen Liu (u. a.) | Buch | 240 S. | Englisch | 2021 | Wiley | EAN 9781119810452 | Verantwortliche Person für die EU: Wiley-VCH GmbH, Boschstr. 12, 69469 Weinheim, product-safety[at]wiley[dot]com | Anbieter: preigu.