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Related Experiment Videos

Michael Sedbon: Explorations in Coupling Artificial and Natural Systems.

Michael Sedbon, Bruce D Campbell, Francesca Samsel

    IEEE Computer Graphics and Applications
    |April 4, 2023
    PubMed
    Summary

    Artist Michael Sedbon explores integrating natural and silicon systems, offering unique insights into computing, intelligence, and consciousness. His biomimicry-based approach aims for a better world through innovative system design.

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    Area of Science:

    • Bio-inspired computing
    • Artificial intelligence
    • Philosophy of technology

    Background:

    • Michael Sedbon's artistic practice bridges natural and silicon-based systems.
    • His work investigates the parallels between natural and artificial information processing.
    • Explores concepts of computing, intelligence, and consciousness in both natural and manmade contexts.

    Purpose of the Study:

    • To present Michael Sedbon's unique perspective on integrating natural and technological systems.
    • To highlight the potential of biomimicry in developing advanced computing and AI.
    • To discuss the philosophical implications of artificial intelligence and consciousness.

    Main Methods:

    • Interview-based exploration of the artist's concepts and methodologies.

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  • Analysis of Sedbon's artistic creations and their underlying principles.
  • Discussion of biomimicry as a framework for technological innovation.

    • Main Results:

    • Sedbon's work offers a novel viewpoint on the relationship between natural and artificial intelligence.
    • Biomimicry presents a viable path for creating more integrated and potentially conscious systems.
    • The study underscores the potential for art to drive innovation in computing and AI.

    Conclusions:

    • Michael Sedbon's interdisciplinary approach provides valuable insights into the future of computing and artificial intelligence.
    • Biomimicry offers a promising avenue for developing systems that emulate natural intelligence and consciousness.
    • Further exploration of art-science collaborations can accelerate advancements in intelligent systems.