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Coles Oscillatory Neural Networks: From Devices to Computing Architectures at Village Green Shopping Centre in Vernon, BC
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This book covers oscillatory computing devices (a.k.a. Oscillatory Neural Networks, ONNs), a type of analog device architecture at the forefront of research for neuromorphic (edge-AI) applications that promises to boost the energy efficiency of neuromorphic computing pipelines by orders of magnitude. The authors provide a comprehensive overview of this multidisciplinary field, covering device physics, circuit design, and computing architectures, as well as the mathematical principles of oscillator synchronization. The chapters are written in a manner that allows non-experts to explore and appreciate the connections between different facets of the subject. This book serves as a resource for a diverse audience, catering to physicists and nanotechnology researchers involved in developing novel oscillator devices. It is also pertinent to the circuit design community, offering fresh perspectives on sensory processing and edge-AI processing. Finally, it serves as an asset for the rapidlyexpanding machine learning/AI community, providing insights into leveraging the processing capabilities of Oscillatory Neural Network (ONN) hardware.
This book covers oscillatory computing devices (a.k.a. Oscillatory Neural Networks, ONNs), a type of analog device architecture at the forefront of research for neuromorphic (edge-AI) applications that promises to boost the energy efficiency of neuromorphic computing pipelines by orders of magnitude. The authors provide a comprehensive overview of this multidisciplinary field, covering device physics, circuit design, and computing architectures, as well as the mathematical principles of oscillator synchronization. The chapters are written in a manner that allows non-experts to explore and appreciate the connections between different facets of the subject. This book serves as a resource for a diverse audience, catering to physicists and nanotechnology researchers involved in developing novel oscillator devices. It is also pertinent to the circuit design community, offering fresh perspectives on sensory processing and edge-AI processing. Finally, it serves as an asset for the rapidlyexpanding machine learning/AI community, providing insights into leveraging the processing capabilities of Oscillatory Neural Network (ONN) hardware.
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