1st Edition

Hardware Technologies for Artificial Intelligence AI Chips, Ising Machines, and In-Memory Computing

By Takayuki Kawahara Copyright 2026
236 Pages 125 B/W Illustrations
by CRC Press

236 Pages 125 B/W Illustrations
by CRC Press

In this comprehensive reference work for researchers, engineers, and students, Kawahara provides a one-stop exploration of next-generation computing at the LSI circuit level, with a focus on the integration of AI, advanced LSI design, Ising machines, and memory innovations. While current GPUs have high parallel processing capabilities suitable for computations on large datasets, their power... Read more

1. Introduction: AI computing 2. Overview of artificial intelligence hardware LSI (AI chips) and its components 3. Basics of LSI (Large Scale Integrated Circuits) for AI 4. Basic structure of AI chips and various neural networks 5. Low-power, high-performance AI chips structure and related computing 6. Ising machines and combinatorial optimization problem 7. Fully coupled Ising machines (A case study) 8. Semiconductor Memory and Computing 9. Main Semiconductor Memory Features 10. AI computing with semiconductor memory (In-Memory Computing) 11. Future Prospects

Biography

Takayuki Kawahara is a professor at Tokyo University of Science. He earned his Bachelor’s, Master’s and Doctorate from Kyushu University in 1983, 1985, and 1993, respectively. He has significant experience within both industry and academia and is a member of the IEICE and a fellow of the IEEE.