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Author: Min Gu
Publisher: Elsevier
ISBN: 0323972608
Category : Technology & Engineering
Languages : en
Pages : 415
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Book Description
Neuromorphic Photonic Devices and Applications synthesizes the most critical advances in photonic neuromorphic models, photonic material platforms and accelerators for neuromorphic computing. The book discusses fields and applications that can leverage these new platforms. A brief review of the historical development of the field is followed by a discussion of the emerging 2D photonic materials platforms and recent work in implementing neuromorphic models and 3D neuromorphic systems. The application of artificial intelligence (AI), such as neuromorphic models to inverse design neuromorphic materials and devices and predict performance challenges is discussed throughout. Finally, a comprehensive overview of the applications of neuromorphic photonic technologies and the challenges, opportunities and future prospects is discussed, making the book suitable for researchers and practitioners in academia and R&D in the multidisciplinary field of photonics. - Includes overview of primary scientific concepts for the research topic of neuromorphic photonics such as neurons as computational units, artificial intelligence, machine learning and neuromorphic models - Reviews the latest advances in photonic materials, device platforms and enabling technology drivers of neuromorphic photonics - Discusses potential applications in computing and optical communications
Author: Min Gu
Publisher: Elsevier
ISBN: 0323972608
Category : Technology & Engineering
Languages : en
Pages : 415
Get Book Here
Book Description
Neuromorphic Photonic Devices and Applications synthesizes the most critical advances in photonic neuromorphic models, photonic material platforms and accelerators for neuromorphic computing. The book discusses fields and applications that can leverage these new platforms. A brief review of the historical development of the field is followed by a discussion of the emerging 2D photonic materials platforms and recent work in implementing neuromorphic models and 3D neuromorphic systems. The application of artificial intelligence (AI), such as neuromorphic models to inverse design neuromorphic materials and devices and predict performance challenges is discussed throughout. Finally, a comprehensive overview of the applications of neuromorphic photonic technologies and the challenges, opportunities and future prospects is discussed, making the book suitable for researchers and practitioners in academia and R&D in the multidisciplinary field of photonics. - Includes overview of primary scientific concepts for the research topic of neuromorphic photonics such as neurons as computational units, artificial intelligence, machine learning and neuromorphic models - Reviews the latest advances in photonic materials, device platforms and enabling technology drivers of neuromorphic photonics - Discusses potential applications in computing and optical communications
Author: Paul R. Prucnal
Publisher: CRC Press
ISBN: 1498725244
Category : Science
Languages : en
Pages : 445
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Book Description
This book sets out to build bridges between the domains of photonic device physics and neural networks, providing a comprehensive overview of the emerging field of "neuromorphic photonics." It includes a thorough discussion of evolution of neuromorphic photonics from the advent of fiber-optic neurons to today’s state-of-the-art integrated laser neurons, which are a current focus of international research. Neuromorphic Photonics explores candidate interconnection architectures and devices for integrated neuromorphic networks, along with key functionality such as learning. It is written at a level accessible to graduate students, while also intending to serve as a comprehensive reference for experts in the field.
Author: Daniel Brunner
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110583496
Category : Science
Languages : en
Pages : 276
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Book Description
Photonics has long been considered an attractive substrate for next generation implementations of machine-learning concepts. Reservoir Computing tremendously facilitated the realization of recurrent neural networks in analogue hardware. This concept exploits the properties of complex nonlinear dynamical systems, giving rise to photonic reservoirs implemented by semiconductor lasers, telecommunication modulators and integrated photonic chips.
Author: Charlie Ironside
Publisher: Morgan & Claypool Publishers
ISBN: 1643277448
Category : Science
Languages : en
Pages : 129
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Book Description
This book brings together two broad themes that have generated a great deal of interest and excitement in the scientific and technical community in the last 100 years or so: quantum tunnelling and nonlinear dynamical systems. It applies these themes to nanostructured solid state heterostructures operating at room temperature to gain insight into novel photonic devices, systems and applications.
Author: Qing Wan
Publisher: John Wiley & Sons
ISBN: 3527349790
Category : Technology & Engineering
Languages : en
Pages : 258
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Book Description
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.
Author: Yasuhiko Arakawa
Publisher: Elsevier
ISBN: 0323985580
Category : Technology & Engineering
Languages : en
Pages : 564
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Book Description
Quantum Photonics aims to serve as a comprehensive and systematic reference source for entrants to the field of quantum photonics, including updated topics on quantum photonics for researchers working in this field. The book reviews the fundamental knowledge of modern photonics related quantum technologies, key concepts of quantum photonic devices, and quantum photonics applications. The book is suitable for graduate students, researchers, and engineers who want to learn quantum photonics fundamentals. The editors, who are leaders in this field, have formulated this book as an introduction to the cutting-edge research in quantum photonics. Researchers and students involved in the development of semiconductor optoelectronics and optical communication systems should also find this book helpful. - Covers the whole quantum photonics field, including nanostructured materials, physics, modelling, and quantum technology applications ranging from applications of q-bit emitters to quantum dot lasers - Comprehensively and systematically reviews fundamentals and applications of quantum photonics for beginners in the field - Provides foundational knowledge for modern photonics-related quantum technologies
Author: Andrea Armani
Publisher: Elsevier
ISBN: 0443188416
Category : Technology & Engineering
Languages : en
Pages : 520
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Book Description
Biophotonics and Biosensing: From Fundamental Research to Clinical Trials Through Advances of Signal and Image Processing brings together the knowledge of the basic principles of the field of light-biological tissue interaction, detection methods, data processing techniques, and research, diagnostic and clinical applications. It is suitable for new entrants, while also highlighting the latest developments for experts in the field. This volume includes perspectives by leading experts from the biophotonics, biomedical engineering, and data science communities. The reader will receive a basic grounding in the key theoretical principles and practical components of biophotonics and biosensing. Working principles of devices used in spectroscopy, microscopy, and optical sensing are presented along with their application domains. The reader will learn about existing microscopy-based techniques used in biomedical applications for diagnosis and get to know different signal processing algorithms as used in biophotonics. Finally, through concrete examples, including sample preparation and measurement approaches, see how the field has developed thanks to the integration of biophotonics and optical biosensing with signal processing. - Introduces key principles of light-biological tissue interactions and biosensing - Discusses how the most promising optical diagnostic methods can exploit contemporary signal and image processing algorithms and data analytics - Includes examples of clinical studies with detailed descriptions of their implementation, along with practical guidance
Author: Ömer Faruk Ertuğrul
Publisher: Springer Nature
ISBN: 3031694996
Category : Machine learning
Languages : en
Pages : 284
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Book Description
This book explores the ongoing debate between shallow and deep learning in the field of machine learning. It provides a comprehensive survey of machine learning methods, from shallow learning to deep learning, and examines their applications across various domains. Shallow Learning vs Deep Learning: A Practical Guide for Machine Learning Solutions emphasizes that the choice of a machine learning approach should be informed by the specific characteristics of the dataset, the operational environment, and the unique requirements of each application, rather than being influenced by prevailing trends. In each chapter, the book delves into different application areas, such as engineering, real-world scenarios, social applications, image processing, biomedical applications, anomaly detection, natural language processing, speech recognition, recommendation systems, autonomous systems, and smart grid applications. By comparing and contrasting the effectiveness of shallow and deep learning in these areas, the book provides a framework for thoughtful selection and application of machine learning strategies. This guide is designed for researchers, practitioners, and students who seek to deepen their understanding of when and how to apply different machine learning techniques effectively. Through comparative studies and detailed analyses, readers will gain valuable insights to make informed decisions in their respective fields.
Author: Andrea Alù
Publisher: Elsevier
ISBN: 0323983146
Category : Technology & Engineering
Languages : en
Pages : 402
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Book Description
Metamaterials-by-Design: Theory, Technologies, and Vision is devoted to a comprehensive review of the latest advancements and current trends in the field of system-level-oriented metamaterial design methods, technologies, and future perspectives. Starting from the theoretical and methodological motivations of this research to macro-scale performance-driven design of volumetric and planar metamaterials, the book introduces advanced task-oriented modeling approaches, including specific reference to their multi-scale/ multi-physics customization in recent metamaterial science and engineering. In the introduction of these concepts, particular attention is paid to the illustration of the physical mechanisms and phenomena at the basis of the field manipulation capabilities enabled by metamaterials. Contributions from industry and academic perspectives on active and passive metamaterial-enhanced devices for communications and sensing are included. The final part of the volume is aimed at providing a perspective regarding the current trends, future research and application tracks in system-performance-driven metamaterial design methodologies and technologies, included potential applications in future reconfigurable and cognitive materials. - Includes comprehensive review of the research developments, methodologies, and opportunities in the field of metamaterials-by-design - Discusses new and emerging applications of metamaterials in microwave and terahertz spectrum, photonics, and optics scenarios - Reviews performance-driven metamaterial design methodologies and technologies in communications and sensing
Author: Mahdi Nikdast
Publisher: CRC Press
ISBN: 1000480143
Category : Technology & Engineering
Languages : en
Pages : 391
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Book Description
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 fabricate systems employing silicon photonics, shaping the future of not only Datacom and telecom technology but also high-performance computing and emerging computing paradigms, such as optical computing and artificial intelligence. Different from existing books in this area, Silicon Photonics for High-Performance Computing and Beyond presents a comprehensive overview of the current state-of-the-art technology and research achievements in applying silicon photonics for communication and computation. It focuses on various design, development, and integration challenges, reviews the latest advances spanning materials, devices, circuits, systems, and applications. Technical topics discussed in the book include: • Requirements and the latest advances in high-performance computing systems • Device- and system-level challenges and latest improvements to deploy silicon photonics in computing systems • Novel design solutions and design automation techniques for silicon photonic integrated circuits • Novel materials, devices, and photonic integrated circuits on silicon • Emerging computing technologies and applications based on silicon photonics Silicon Photonics for High-Performance Computing and Beyond presents a compilation of 19 outstanding contributions from academic and industry pioneers in the field. The selected contributions present insightful discussions and innovative approaches to understand current and future bottlenecks in high-performance computing systems and traditional computing platforms, and the promise of silicon photonics to address those challenges. It is ideal for researchers and engineers working in the photonics, electrical, and computer engineering industries as well as academic researchers and graduate students (M.S. and Ph.D.) in computer science and engineering, electronic and electrical engineering, applied physics, photonics, and optics.
