Gistrup: River Publishers, 2023. — 250 p.
Memristors have provided a new direction of thinking for circuit designers to overcome the limits of scalability and for thinking of building systems beyond Moore’s law. Over the last decade, there has been a significant number of innovations in using memristors for building neural networks through analog computing, in-memory computing, and stochastic computing approaches. The emergence of intelligent integrated circuits is inevitable for the future of integrated circuit applications.
This book provides a collection of talks conducted as part of the IEEE Seasonal School on Circuits and Systems, having a focus on Intelligence in Chip: Tomorrow of Integrated Circuits. Technical topics discussed in the book include:
Edge of Chaos Theory Explains Complex Phenomena in Memristor Circuits.
Analog Memristive Computing.
Designing energy-efficient neo-cortex system with on-device learning.
Integrated sensors.
Challenges and recent advances in NVM-based Neuromorphic Computing ICs.
In-memory Computing (for deep learning).
Deep Learning with Spiking Neural Networks.
Computational Intelligence for Designing Integrated Circuits and Systems.
Neurochip Design, Modeling, and Applications.