Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The microbiota-lymphocyte protective axis (MLPA): a novel paradigm for overcoming radiation-induced lymphopenia (RIL) and potentiating the efficacy of tumor immuno-combination therapy.

Cancer immunology, immunotherapy : CII·2026
Same author

Early prediction of severe Omicron pneumonia using a multimodal a.i. model integrating delta CT radiomics and laboratory indicators.

Scientific reports·2026
Same author

Single-Image Reflection Removal via Iterative Prompt Learning of Reflection Level.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

Comment on: Implementation strategies for integrating nutritional interventions into cancer care: A systematic literature review.

Clinical nutrition (Edinburgh, Scotland)·2026
Same author

A comprehensive evaluation of the effects and mechanisms of naringenin on zebrafish embryo development.

Ecotoxicology and environmental safety·2026
Same author

Multi-omics analysis reveals the mechanism of Huaganjian in alleviating cholestatic liver fibrosis.

Frontiers in pharmacology·2026

Related Experiment Video

Updated: Jan 11, 2026

Writing Bragg Gratings in Multicore Fibers
08:48

Writing Bragg Gratings in Multicore Fibers

Published on: April 20, 2016

8.6K

Reconfigurable optical convolution operation architecture based on fiber Bragg gratings.

Kaiteng Cai, Binbin Song, Wei Lin

    Optics Express
    |November 11, 2025
    PubMed
    Summary

    This study introduces a novel optical convolution architecture using fiber Bragg gratings (FBGs) for integrated sensing and communication. This innovation enhances real-time processing and energy efficiency in edge artificial intelligence applications.

    More Related Videos

    Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
    09:43

    Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

    Published on: March 20, 2017

    10.3K
    Author Spotlight: Fabrication of a Low-Cost, Fiber-Coupled, and Air-Spaced Fabry-Pérot Etalon
    07:22

    Author Spotlight: Fabrication of a Low-Cost, Fiber-Coupled, and Air-Spaced Fabry-Pérot Etalon

    Published on: February 3, 2023

    8.0K

    Related Experiment Videos

    Last Updated: Jan 11, 2026

    Writing Bragg Gratings in Multicore Fibers
    08:48

    Writing Bragg Gratings in Multicore Fibers

    Published on: April 20, 2016

    8.6K
    Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
    09:43

    Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

    Published on: March 20, 2017

    10.3K
    Author Spotlight: Fabrication of a Low-Cost, Fiber-Coupled, and Air-Spaced Fabry-Pérot Etalon
    07:22

    Author Spotlight: Fabrication of a Low-Cost, Fiber-Coupled, and Air-Spaced Fabry-Pérot Etalon

    Published on: February 3, 2023

    8.0K

    Area of Science:

    • Photonics and Optical Engineering
    • Artificial Intelligence
    • Integrated Sensing and Communication

    Background:

    • Conventional fiber-optic systems face limitations in performance and energy efficiency due to electronic computing.
    • Integrating optical computing offers potential for enhanced real-time processing and efficiency in sensing-communication systems.

    Purpose of the Study:

    • To propose and validate a reconfigurable optical convolution architecture using fiber Bragg gratings (FBGs) for integrated sensing-communication.
    • To leverage FBGs for strain-tunable kernels, enabling passive, scalable, and temperature-stable optical computing.

    Main Methods:

    • Developed a reconfigurable optical convolution architecture utilizing the native fiber compatibility of FBGs.
    • Designed strain-tunable kernels for the optical convolution architecture.
    • Experimentally validated the architecture using handwritten digit convolution (MNIST) and Iris classification tasks.

    Main Results:

    • Achieved a root-mean-square error (RMSE) on the order of 10-2 for handwritten digit recognition.
    • Attained 100% accuracy in Iris classification.
    • Demonstrated the feasibility of seamless fiber integration, scalability, and temperature stability.

    Conclusions:

    • The proposed FBG-based optical convolution architecture effectively bridges FBGs with optical computing.
    • This advancement significantly enhances edge artificial intelligence and integrated sensing-communication-computing systems.
    • The passive, reconfigurable, and fiber-compatible design offers a promising direction for future optical computing applications.