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Название: Intelligence in Chip: Integrated Sensors and Memristive Computing
Автор: Alex James, Alon Ascoli, Bhaskar Choubey
Издательство: River Publishers
Серия: Tutorials in Electronics, Circuits and Systems
Год: 2024
Страниц: 340
Язык: английский
Формат: pdf (true)
Размер: 18.8 MB
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. 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.
Автор: Alex James, Alon Ascoli, Bhaskar Choubey
Издательство: River Publishers
Серия: Tutorials in Electronics, Circuits and Systems
Год: 2024
Страниц: 340
Язык: английский
Формат: pdf (true)
Размер: 18.8 MB
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. 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.