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  • Silicon Photonics for High-Performance Computing and Beyond

    Silicon photonics is beginning to play an important role in driving innovations in communication and computation for an increasing number of applications, from health care and biomedical sensors to autonomous driving, datacenter networking, and security. In recent years, there has been a significant amount of effort in industry and academia to innovate, design, develop, analyze, optimize, and ... Read more

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  • Machine Learning for Indoor Localization and Navigation

    Edited by Saideep Tiku, Sudeep Pasricha ...
    Series series Engineering (R0)
    While GPS is the de-facto solution for outdoor positioning with a clear sky view, there is no prevailing technology for GPS-deprived areas, including dense city centers, urban canyons, buildings and other covered structures, and subterranean facilities such as underground mines, where GPS signals are severely attenuated or totally blocked. As an alternative to GPS for the outdoors, indoor ... Read more

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  • Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems

    Series series Engineering (R0)
    This book provides comprehensive coverage of various solutions that address issues related to real-time performance, security, and robustness in emerging automotive platforms. The authors discuss recent advances towards the goal of enabling reliable, secure, and robust, time-critical automotive cyber-physical systems, using advanced optimization and machine learning techniques. The focus is on ... Read more

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  • Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing

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    Series series Engineering (R0)
    This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains. The focus is on presenting interesting and new use cases of applying machine learning to innovative application domains, exploring the efficient hardware design of efficient machine learning accelerators, memory ... Read more

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  • Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing

    Software Optimizations and Hardware/Software Codesign

    Series series Engineering (R0)
    This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains. The focus is on presenting interesting and new use cases of applying machine learning to innovative application domains, exploring the efficient hardware design of efficient machine learning accelerators, memory ... Read more

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  • Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing

    Hardware Architectures

    Series series Engineering (R0)
    This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains. The focus is on presenting interesting and new use cases of applying machine learning to innovative application domains, exploring the efficient hardware design of efficient machine learning accelerators, memory ... Read more

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