All You Need To Know About Neuromorphic Computing
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All You Need to Know About Neuromorphic Computing
All You Need to Know About Neuromorphic Computing: A Beginner's Guide to Understanding Brain-Like Machines provides an in-depth introduction to the revolutionary world of neuromorphic computing. This book is designed for readers who are curious about how brain-like machines work and how they are transforming the field of artificial intelligence. From the fundamental principles behind neuromorphic systems to their real-world applications, this guide covers key topics such as spiking neural networks, neuromorphic hardware, hybrid AI models, and emerging technologies like quantum neuromorphic computing. Whether you're a beginner or someone with a keen interest in AI, this book offers clear explanations, practical examples, and insights into the future of brain-inspired computing.
Neuromorphic Computing and Beyond
Author: Khaled Salah Mohamed
language: en
Publisher: Springer Nature
Release Date: 2020-01-25
This book discusses and compares several new trends that can be used to overcome Moore’s law limitations, including Neuromorphic, Approximate, Parallel, In Memory, and Quantum Computing. The author shows how these paradigms are used to enhance computing capability as developers face the practical and physical limitations of scaling, while the demand for computing power keeps increasing. The discussion includes a state-of-the-art overview and the essential details of each of these paradigms.
Neuromorphic Devices for Brain-inspired Computing
Explore the cutting-edge of neuromorphic technologies with applications in Artificial Intelligence In Neuromorphic Devices for Brain-Inspired Computing: Artificial Intelligence, Perception, and Robotics, a team of expert engineers delivers a comprehensive discussion of all aspects of neuromorphic electronics designed to assist researchers and professionals to understand and apply all manner of brain-inspired computing and perception technologies. The book covers both memristic and neuromorphic devices, including spintronic, multi-terminal, and neuromorphic perceptual applications. Summarizing recent progress made in five distinct configurations of brain-inspired computing, the authors explore this promising technology’s potential applications in two specific areas: neuromorphic computing systems and neuromorphic perceptual systems. The book also includes: A thorough introduction to two-terminal neuromorphic memristors, including memristive devices and resistive switching mechanisms Comprehensive explorations of spintronic neuromorphic devices and multi-terminal neuromorphic devices with cognitive behaviors Practical discussions of neuromorphic devices based on chalcogenide and organic materials In-depth examinations of neuromorphic computing and perceptual systems with emerging devices Perfect for materials scientists, biochemists, and electronics engineers, Neuromorphic Devices for Brain-Inspired Computing: Artificial Intelligence, Perception, and Robotics will also earn a place in the libraries of neurochemists, neurobiologists, and neurophysiologists.