Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

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

An update on recent developments in the drug treatment of tuberculous meningitis.

Expert opinion on pharmacotherapy·2026

Same author

Topological soliton frequency comb in nanophotonic lithium niobate.

Nature·2026

Same author

Two-optical-cycle pulses from nanophotonic two-color soliton compression.

Light, science & applications·2026

Same author

Auranofin attenuates TOPBP1-mediated ATR replication stress response and improves chemotherapeutic response in breast tumor models.

The Journal of clinical investigation·2025

Same author

Mycobacterium tuberculosis overcomes phosphate starvation by extensively remodelling its lipidome with phosphorus-free lipids.

Nature communications·2025

Same author

Correction: Comparison of treatment patterns, efficacy and safety between generic and branded Atorvastatin users in China: a multicenter, retrospective propensity score‑matched cohort study.

Lipids in health and disease·2025

Same journal

Recent Progress in on-Demand Transfer-Enabled Integration of Wavelength-Scale Light Sources.

Nanophotonics (Berlin, Germany)·2026

Same journal

Tunable skyrmion bag textures in surface phonon polariton lattices.

Nanophotonics (Berlin, Germany)·2026

Same journal

All-Optical Diffractive Operators for Rapid, Computer-Free Morphological Transformations.

Nanophotonics (Berlin, Germany)·2026

Same journal

Tunable Skyrmion, Meron, and Skyrmion Bag Textures in Surface Phonon Polariton Lattices.

Nanophotonics (Berlin, Germany)·2026

Same journal

Deep-Subwavelength Slot-Enhanced Broadband Dynamic Camouflage Metasurface Across the S, C, X, and Ku Bands.

Nanophotonics (Berlin, Germany)·2026

Same journal

Machine Learning-Driven Cooling Window Design Beyond Hyperbolic Metamaterials.

Nanophotonics (Berlin, Germany)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 5, 2025

Lensless Fluorescent Microscopy on a Chip

Lensless Fluorescent Microscopy on a Chip

Published on: August 17, 2011

All-optical ultrafast ReLU function for energy-efficient nanophotonic deep learning.

Gordon H Y Li¹, Ryoto Sekine², Rajveer Nehra²

¹Department of Applied Physics, California Institute of Technology, Pasadena 91125, CA, USA.

Nanophotonics (Berlin, Germany)

|December 5, 2024

Summary

This summary is machine-generated.

Researchers developed an all-optical Rectified Linear Unit (ReLU) for deep learning. This energy-efficient nanophotonic device operates at ultra-low energies, paving the way for faster, more efficient optical neural networks.

Keywords:

deep learning optical computing optical neural networks thin-film lithium niobate

More Related Videos

Rejection of Fluorescence Background in Resonance and Spontaneous Raman Microspectroscopy

Rejection of Fluorescence Background in Resonance and Spontaneous Raman Microspectroscopy

Published on: May 18, 2011

Gold Nanorod-assisted Optical Stimulation of Neuronal Cells

Gold Nanorod-assisted Optical Stimulation of Neuronal Cells

Published on: April 27, 2015

Related Experiment Videos

Last Updated: Jun 5, 2025

Lensless Fluorescent Microscopy on a Chip

Lensless Fluorescent Microscopy on a Chip

Published on: August 17, 2011

Rejection of Fluorescence Background in Resonance and Spontaneous Raman Microspectroscopy

Rejection of Fluorescence Background in Resonance and Spontaneous Raman Microspectroscopy

Published on: May 18, 2011

Gold Nanorod-assisted Optical Stimulation of Neuronal Cells

Gold Nanorod-assisted Optical Stimulation of Neuronal Cells

Published on: April 27, 2015

Area of Science:

Photonics
Deep Learning Hardware
Nonlinear Optics

Background:

Deep learning requires significant computational power, driving demand for energy-efficient hardware.
Optical neural networks offer a promising alternative but are hindered by inefficient nonlinear optical functions.
The Rectified Linear Unit (ReLU) is a crucial nonlinear activation function in deep learning.

Purpose of the Study:

To experimentally demonstrate an all-optical Rectified Linear Unit (ReLU).
To achieve ultra-low energy consumption for nonlinear optical functions in deep learning.
To enable truly all-optical, energy-efficient nanophotonic deep learning.

Main Methods:

Utilized a periodically-poled thin-film lithium niobate nanophotonic waveguide.
Experimentally demonstrated the all-optical ReLU activation function.
Measured energy consumption and operational speed.

Main Results:

Achieved ultra-low energy consumption in the femtojoule per activation regime.
Demonstrated near-instantaneous operation of the optical ReLU.
Validated the functionality of the nanophotonic waveguide for all-optical deep learning components.

Conclusions:

The study presents a practical and energy-efficient all-optical ReLU.
This breakthrough offers a viable path towards energy-efficient nanophotonic deep learning.
The developed technology has the potential to significantly advance optical computing.