Introduction to Neuromorphic Computing

Author:   Shriram Ramanathan (Rutgers University, New Jersey) ,  Abhronil Sengupta (Pennsylvania State University)
Publisher:   Cambridge University Press
ISBN:  

9781009564342


Pages:   204
Publication Date:   22 January 2026
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Our Price $103.50 Quantity:  
Add to Cart

Share |

Introduction to Neuromorphic Computing


Overview

Full Product Details

Author:   Shriram Ramanathan (Rutgers University, New Jersey) ,  Abhronil Sengupta (Pennsylvania State University)
Publisher:   Cambridge University Press
Imprint:   Cambridge University Press
Weight:   0.533kg
ISBN:  

9781009564342


ISBN 10:   100956434
Pages:   204
Publication Date:   22 January 2026
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Reviews

Author Information

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.

Tab Content 6

Author Website:  

Countries Available

All regions
Latest Reading Guide

RGFEB26

 

Shopping Cart
Your cart is empty
Shopping cart
Mailing List