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Photonic Artificial Intelligence

  • Book
  • © 2024

Overview

Authors:
  1. Aleksandr Raikov

    1. Chief Scientist of the Jinan Institute of Supercomputing Technology, Jinan, China

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  • Discusses Photonic Artificial Intelligence (PAI) system based on optical technologies
  • Discusses new challenges in creating PAI and their solutions
  • Serves as a reference for researchers, students, practitioners, and policymakers

Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)

Part of the book sub series: SpringerBriefs in Computational Intelligence (BRIEFSINTELL)

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xvii
    Download chapter PDF

  2. Impulse Brain?

    • Aleksandr Raikov
    Pages 1-9

  3. Artificial Mind

    • Aleksandr Raikov
    Pages 11-21

  4. Photonic Psychology

    • Aleksandr Raikov
    Pages 23-31

  5. Situational Emotions

    • Aleksandr Raikov
    Pages 33-41

  6. Photonic Thought

    • Aleksandr Raikov
    Pages 43-50

  7. Soliton Thoughts

    • Aleksandr Raikov
    Pages 51-58

  8. Subatomic Thinking

    • Aleksandr Raikov
    Pages 59-68

  9. Dark Mind

    • Aleksandr Raikov
    Pages 69-77

  10. Material Synthesis

    • Aleksandr Raikov
    Pages 79-91

  11. Photonic Learning

    • Aleksandr Raikov
    Pages 93-104

  12. Back Matter

    Pages 105-110
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Keywords

About this book

This book addresses an attempt to create Photonic Artificial Intelligence (PAI) system based on optical technologies, which process signals continuously. PAI could help to overcome digital computer limits and almost zero out the machine learning time and AI inference. It helps to consider feelings, the chaos of thoughts, cognitive activity, and the transcendental states of the human mind in AI systems. The book also discusses new problems such as synthesizing new photonic materials, creating optical control systems, and connecting PAI systems with outside digital computers and holographic memory. The book is aimed at a wide range of readers, including postgraduates and researchers, interested in advanced AI by creating its new paradigm, which can help to overcome traps of traditional AI development.

Authors and Affiliations

  • Chief Scientist of the Jinan Institute of Supercomputing Technology, Jinan, China

    Aleksandr Raikov

About the author

Professor Aleksandr Raikov is a doctor of technical sciences, chief scientist of the Jinan Institute of Supercomputing Technology in Shandong Province, China, head of the Artificial Intelligence Department of the National Center of Digital Economy, Lomonosov Moscow State University, state advisor of the Russian Federation of 3rd class, and winner of the Russian Government award in the field of Science and Technology. From 1992 to 1999, he was the chief of the Information and Analytical Department of the Russian Presidential Administration. From 1974 to 1991, he developed information systems for high-level state power. He was a student of academician V.A. Kotelnikov, who was one of the discoveries of the sampling theorem. His research and business interests include artificial intelligence, decision support systems, light transformation, and strategic management. He has published 15 books and about 500 papers in peer-reviewed journals and conference proceedings.

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