ArticleNature2021
11 TOPS photonic convolutional accelerator for optical neural networks.
Article in Nature, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 217 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
217 citing papers in PubMed.
- Spatiotemporal Computational Meta-Imager for Broadband Dual-Layer Optical Convolution.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Emerging integrated photonic neural network technologies for artificial intelligence: from devices to systems.National science review · 2026Review
- Prospects of photonic computing for artificial intelligence.National science review · 2026Article
- 192-dimensional wavelength-/mode-/polarization-multiplexed photonic architecture for highly parallel optical computing.National science review · 2026Article
- Spatiotemporal all-optical diffractive neural networks empowered by spatiotemporal light field manipulation.Light, science & applications · 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
- Few-shot neuromorphic vision in a nonlinear photonic network laser.Science advances · 2026Article
- Architecture-Level Event-Oriented Frontend for Heterogeneous Sensor Inference in Photonic Stochastic Systems.Sensors (Basel, Switzerland) · 2026Article
- Integrated Neuromorphic Photonic Computing for AI Acceleration: Emerging Devices, Network Architectures, and Future Paradigms.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- Programmable photonic neural engine with all-optical nonlinear activation and 40,000 connections.Science advances · 2026Article
- Millimetre-wave comb generated by an optical microcomb.Nature communications · 2026Article
- On-chip non-volatile all-optical residual neural network accelerator.Light, science & applications · 2026Article
- Photonic integrated computing engine for concurrent optical computing.Nature communications · 2026Article
- Broadband Electromagnetic Field Prediction at Unseen Wavelengths via Physics-Guided Neural Operators.Nanophotonics (Berlin, Germany) · 2026Article
- 65 TOPS optoelectronic multi-core computing unlocking multi-feature fusion enhancement.Nature communications · 2026Article
- Soliton-assisted massive signal broadcasting via exceptional points.Nature communications · 2026Article
- Small-scale photonic Kolmogorov-Arnold networks using standard telecom nonlinear modules.Nature communications · 2026Article
- Wavelength-encoded neuromorphic inference enabled by microcavity MoSNature communications · 2026Article
- All-optical computing towards 100-GHz clock rates.Light, science & applications · 2026Article
157 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Convolutional neural networks, inspired by biological visual cortex systems, are a powerful category of artificial neural networks that can extract the hierarchical features of raw data to provide greatly reduced parametric complexity and to enhance the accuracy of prediction. They are of great interest for machine learning tasks such as computer vision, speech recognition, playing board games and medical diagnosis
Identifiers
33408378What OpenQuestion holds
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.