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 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
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格式 EPUB ● 网页 250 ● ISBN 9781000873764 ● 编辑 Bhaskar Choubey & Alex James ● 出版者 River Publishers ● 发布时间 2023 ● 下载 3 时 ● 货币 EUR ● ID 8906475 ● 复制保护 Adobe DRM
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