Intelligence in Chip: Integrated Sensors and Memristive Computing

Intelligence in Chip: Integrated Sensors and Memristive Computing

River Publishers Series in Electronic Materials, Circuits and Devices

Intelligence in Chip: Integrated Sensors and Memristive Computing Forthcoming

Editors:
Alex James, Digital University Kerala
Alon Ascoli, Politecnico di Torino
Bhaskar Choubey, Siegen University

ISBN: 9788770228343 e-ISBN: 9788770228695

Available: May 2024


Intelligence in Chips: Integrated Sensors and Memristive Computing is an authoritative resource that navigates the exciting landscape of in-memory computing, neuromorphic circuits, and memristive technologies. This book curates expert insights from leading researchers like Abu Sebastian, Alex James, Alon Ascoli, Arindam Basu, Cory Merkel, Fernando Corinto, Jason Eshraghian, Rainer Waser, Spiros Nikolaidis, Stephan Menzel, and Vishal Saxena, highlighting some of the important contributions in the field. Through a comprehensive collection of talks, readers will gain deep insights into how memristive neural computing is revolutionizing artificial intelligence.

The book covers the latest innovations in memristor array computing, brain-inspired circuits, neuromorphic event-driven vision, bio-inspired computing, and nonlinear phenomena in biological systems. Each chapter is authored by a distinguished expert, offering a multi-perspective analysis on how emerging technologies are pushing the boundaries of edge-AI and mixed-signal hardware.

Whether you're a researcher, engineer, or student, this book is an essential guide that explores the confluence of circuit theory, artificial intelligence, and memristor technology, providing readers with practical methodologies and visionary outlooks for the future.
Analog neural computing, memristive systems, neuromorphic circuits, in-memory computing, bio-inspired computing, brain-inspired circuits, nonlinear circuits, spiking neural networks, memristor array computing, AI hardware, edge-AI.

SECTION 1: MEMRISTIVE DEVICES
Chapter 1 - Overview of redox-based resistive RAM (ReRAM) - Physico-chemical background and history, by Rainer Waser
Chapter 2 - Deep learning inference with in-memory computing, by Abu Sebastian
Chapter 3 - Modeling of Memristive Devices, by Stepphan Menzel

SECTION 2: NONLINEAR MEMRISTIVE CIRCUITS
Chapter 4 - Analog Neural Computing Under Variability Intense Memristor Arrays, by Alex James
Chapter 5 - Edge of Chaos Clarifies the Origin for Yet-Unexplained Nonlinear Phenomena in Biological Systems, by Alon Ascoli
Chapter 6 - Memristor Computing Systems: at the crossroad between Circuit Theory and Artificial Intelligence, by Fernando Corinto

SECTION 3: MEMRISTIVE CIRCUIT APPLICATIONS
Chapter 7 - Aspects of Digital Circuit Design using Memristor Ratioed Logic (MRL), by Spiros Nikolaidis
Chapter 8 - Neuromorphic Computing with Memristors: From Circuits to Algorithms, by Cory Merkel
Chapter 9 - In-memory computing meets Neuromorphic Event-Driven Vision, by Arindam Basu

SECTION 4: MEMRISTIVE SYSTEMS
Chapter 10 - Open-Source RRAM Neuromorphic Accelerators, by Jason Eshraghian
Chapter 11 - Mixed-Signal Neuromorphic Computing: Devices Algorithms and Circuits, by Vishal Saxena