AI-Processor Electronics: Basic technology of artificial intelligence

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Vinod Kumar Khanna (CSIR-Central Electronics Engineering Research Institute, India and CSIR-CEERI, India)

AI-Processor Electronics

Basic technology of artificial intelligence

Vinod Kumar Khanna (CSIR-Central Electronics Engineering Research Institute, India and CSIR-CEERI, India)

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English

Institute of Physics Publishing
29 January 2025

Electronic devices & materials; Artificial intelligence

Series: IOP ebooks

The revolutionary impact of advances in artificial intelligence on consumer and industrial electronics has significantly increased the demand for specialized processing units for AI workloads. AI-Processor Electronics: Basic Technology of Artificial Intelligence explores the principles and technology behind these processors, which perform fast, energy-efficient data processing and complex computations. The book begins with an overview of AI, machine learning, and deep learning, and a brief introduction to digital computer electronics. It highlights the limitations of traditional CPUs in modern AI, discussing parallel computing and AI-optimized hardware that are specially tailored and adapted to meet AI requirements. The book then covers various AI processors, including graphical, tensor, neural, convolutional neural network, vision, sparse neural network, graph analytics, associative memory, and quantum processing units.

Key features:

Provides a review of the physics of operation of a diverse variety of representative AI processors, and the key concepts and innovations underlying their development Covers the underlying principles, technologies, opportunities and future prospects Highlights the inadequacies of general-purpose processors in meeting the computationally intensive needs of artificial intelligence workloads Elucidates the use of parallel processing architecture in simultaneously performing multiple calculations across data streams Explores the concepts of neuromorphic and quantum computing to address the growing demands of big data in AI

By: Vinod Kumar Khanna (CSIR-Central Electronics Engineering Research Institute India and CSIR-CEERI India)
Imprint: Institute of Physics Publishing
Country of Publication: United Kingdom
Dimensions: Height: 254mm, Width: 178mm, Spine: 22mm
Weight: 905g
ISBN: 9780750362573
ISBN 10: 075036257X
Series: IOP ebooks
Pages: 398
Publication Date: 29 January 2025
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Vinod Kumar Khanna, Ph.D. (Physics), is an independent researcher at Chandigarh, India; a former emeritus scientist, Council of Scientific and Industrial Research (CSIR), India, and Emeritus Professor, Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India; a retired chief scientist, CSIR-Central Electronics Engineering Research Institute, Pilani, India and professor, AcSIR, India. He has worked for more than 37 years on the design, fabrication, and characterization of power semiconductor devices, MEMS, and nanotechnology-based sensors. He has published 194 research papers in refereed journals and conference proceedings, 21 books, and 6 chapters in edited books. He has five patents to his credit, two US and three Indian.