ArticleScience advances2024
Pre-sensor computing with compact multilayer optical neural network.
Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Microwave diffractive neural network chips for sensing and computing.Science advances · 2026Article
- Optical phased array LiDAR chips towards polarization-resolved 4D sensing.Nature communications · 2026Article
- How nanophotonics can drive optical computing toward practical applications.Nature nanotechnology · 2026Review
- Parallel nonlinear neuromorphic computing with temporal encoding.Science advances · 2026Article
- Light Intensity-Driven Bidirectional Photoresponse Vision Sensor for Autonomous Obstacle Avoidance System.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Creation of a computational space with model-free metasurface neural network.Nature communications · 2026Article
- Physical Implementation of Optical Material-Based Neural Networks Processing Enabled by Long-Persistent Luminescence.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- NEOSTI - a neuromorphic electronic-opto spatial-temporal hybrid image sensor.Nature communications · 2026Article
- Anti-interference diffractive deep neural networks for multi-object recognition.Light, science & applications · 2026Article
- Optical neural networks with intensity‑based projection layers as effective nonlinear activations.Scientific reports · 2025Article
- Multilayer nonlinear diffraction neural networks with programmable and fast ReLU activation function.Nature communications · 2025Article
- Photonic edge intelligence chip for multi-modal sensing, inference and learning.Nature communications · 2025Article
- Cell-to-cell communication: from physical calling to remote emotional touching.Discover nano · 2025Article
- Scaling up for end-to-end on-chip photonic neural network inference.Light, science & applications · 2025Article
- Multi-wavelength diffractive optical neural network integrated with 2D photonic crystals for joint optical classification.Nanophotonics (Berlin, Germany) · 2025Article
- Improved all photonics diffraction neural network based on multi-channel integrated optical fibers.iScience · 2025Article
- A guidance to intelligent metamaterials and metamaterials intelligence.Nature communications · 2025Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Moving computation units closer to sensors is becoming a promising approach to addressing bottlenecks in computing speed, power consumption, and data storage. Pre-sensor computing with optical neural networks (ONNs) allows extensive processing. However, the lack of nonlinear activation and dependence on laser input limits the computational capacity, practicality, and scalability. A compact and passive multilayer ONN (MONN) is proposed, which has two convolution layers and an inserted nonlinear layer, performing pre-sensor computations with designed passive masks and a quantum dot film for incoherent light. MONN has an optical length as short as 5 millimeters, two orders of magnitude smaller than state-of-the-art lens-based ONNs. MONN outperforms linear single-layer ONN across various vision tasks, off-loading up to 95% of computationally expensive operations into optics from electronics. Motivated by MONN, a paradigm is emerging for mobile vision, fulfilling the demands for practicality, miniaturization, and low power consumption.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.