Intelligence in Chips
Editor-in-Chief:
Prof Alex James, Dean Academic, Digital University Kerala
Editorial Board:
Cory Merkel, Rochester Institute of Technology, USA
Bhaskar Choubey, Siegen University, Germany
Ronald Tetzlaff, Technical University Dresden, Germany (TC Member, CNN-MAC, IEEE CASS)
Vishal Sexena, University of Delaware, USA
Alon Ascoli, Technical University Dresden, Germany (TC Member, CNN-MAC, IEEE CASS)
Sreelal S, ISRO, India (IEEE CASS Kerala Chapter)
Prof Alex James, Dean Academic, Digital University Kerala
Editorial Board:
Cory Merkel, Rochester Institute of Technology, USA
Bhaskar Choubey, Siegen University, Germany
Ronald Tetzlaff, Technical University Dresden, Germany (TC Member, CNN-MAC, IEEE CASS)
Vishal Sexena, University of Delaware, USA
Alon Ascoli, Technical University Dresden, Germany (TC Member, CNN-MAC, IEEE CASS)
Sreelal S, ISRO, India (IEEE CASS Kerala Chapter)
The primary goal of the River Rapids Series on Intelligence in Chips is to provide a comprehensive collection of instructive books that dive into the varied world of memristors, emerging devices, circuits, systems and investigate their applications in numerous cutting-edge sectors. Memristors and similar memories have gotten a lot of interest because of their unique qualities, which include non-volatility, low power consumption, and the capacity to simulate synapses in neural networks, among other things. The lessons are intended to provide in-depth insights on memristors and their applications in a variety of cutting-edge sectors of computing and engineering.
Topics covered in the series include but are not limited to:
- Memristor Fundamentals
- Neural Networks
- Cellular Neural Networks
- Memristor Array Computing
- Quantum AI Computing
- Efficient Reconfigurable Computing
- Bioinspired Circuits and Systems
- Interdisciplinary Insights
- Practical Implementations
- Emerging Trends