Neuromorphic Photonic Devices and Applications

Min Gu,Elena Goi,Yangyundou Wang,Zhengfen Wan,Yibo Dong,Yuchao Zhang,Haoyi Yu

• Éditeur: Elsevier
• Année: 2023
• ISBN:
  9780323972604
• Sujet: Technology & Engineering
• Sous-sujet: Electrical Engineering & Telecommunications

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

Table des matières

• Cover image
• Title page
• Table of Contents
• Copyright
• List of contributors
• About the editors
• Preface
• Section 1: Introduction
• Section 2: Neuromorphic photonics
• Section 3: Applications
• Section 4: Perspective
• Index