Introduction to Neuromorphic Computing - Tapa dura

Ramanathan, Shriram; Sengupta, Abhronil

 
9781009564342: Introduction to Neuromorphic Computing
Tapa dura
ISBN 10: 100956434X ISBN 13: 9781009564342
Editorial: Cambridge University Press, 2026

Sinopsis

Artificial intelligence is transforming industries and society, but its high energy demands challenge global sustainability goals. Biological intelligence, in contrast, offers both good performance and exceptional energy efficiency. Neuromorphic computing, a growing field inspired by the structure and function of the brain, aims to create energy-efficient algorithms and hardware by integrating insights from biology, physics, computer science, and electrical engineering. This concise and accessible book delves into the principles, mechanisms, and properties of neuromorphic systems. It opens with a primer on biological intelligence, describing learning mechanisms in both simple and complex organisms, then turns to the application of these principles and mechanisms in the development of artificial synapses and neurons, circuits, and architectures. The text also delves into neuromorphic algorithm design, and the unique challenges faced by algorithmic researchers working in this area. The book concludes with a selection of practice problems, with solutions available to instructors online.

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Acerca de los autores

Shriram Ramanathan is Rodkin-Weintraub Chair in Engineering at Rutgers University's College of Engineering. He previously held faculty positions at Purdue University and Harvard University, and was a research staff member at Components Research, Intel. Shriram's research focuses on adaptive semiconductors for neuromorphic computing and artificial intelligence, driving innovation at the intersection of materials science and next-generation AI technologies. He currently teaches the pioneering course 'Semiconductors for AI' at Rutgers.

Abhronil Sengupta is Associate Professor in the School of Electrical Engineering and Computer Science at Penn State University, where he holds the prestigious Joseph R. and Janice M. Monkowski Career Development Professorship. As the director of the Neuromorphic Computing Lab, his research bridges hardware and software, focusing on sensors, devices, circuits, systems, and algorithms to enable low-power, event-driven cognitive intelligence. Abhronil also teaches the cutting-edge course 'Neuromorphic Computing' at Penn State.

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Editorial
Cambridge University Press
Año de publicación
2026
Idioma
Inglés
ISBN 10 
100956434X
ISBN 13 
9781009564342
Encuadernación
Tapa dura
Número de páginas
204
Contacto del fabricante
Cambridge University Press
https://www.cambridge.org/

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