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 System, 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 CircuitsAnalog Memristive ComputingDesigning energy efficient neo-cortex system with on-device learningIntegrated sensorsChallenges and recent advances in NVM based Neuromorphic Computing ICsIn-memory Computing (for deep learning)Deep learning with Spiking Neural NetworksComputational Intelligence for Designing Integrated Circuits and SystemsNeurochip Design, Modeling, and Applications
