2026 International Symposium on Optical Neural Networks and Neuromorphic Computing (ONNNC 2026) serves as a targeted interdisciplinary forum bridging integrated photonics, brain-inspired hardware, and artificial intelligence architectures, addressing critical power and latency bottlenecks plaguing conventional electronic AI systems. This symposium gathers world-leading academics, device engineers, and industry innovators to exchange frontier breakthroughs spanning silicon photonic neural chips, all-optical synaptic units, optoelectronic neuromorphic arrays, and end-to-end photonic inference frameworks.Distinct from generic computing conferences, ONNNC 2026 prioritizes two core intersecting directions: high-parallelism optical neural network implementation and low-power brain-mimicking neuromorphic hardware empowered by photonics. The agenda includes keynote lectures, themed oral sessions, interactive poster exhibitions, and roundtable dialogues dissecting material limits, chip integration obstacles, and real-world deployment pathways for photonic neuromorphic systems. It fosters long-term global collaborative networks, incubates cross-disciplinary original research, and charts actionable technical roadmaps for next-generation ultra-high-speed, energy-efficient optical AI hardware.

List of Topics

• Optical Neural Network Design

• Photonic neural networks for high-speed AI inference

  Reconfigurable optical computing architectures

  Low-power photonic accelerators for edge devices

  On-chip optical reservoir computing

  Scalable diffractive neural networks

  Optical spiking neural networks

  Time-domain photonic networks for dynamic data

  All-optical memory for recurrent neural processing

• Bio-Inspired Optical Sensing

• Real-time neural signal decoding with photonics

  Event-based optical vision sensors

  Multi-modal optical fusion (visible/IR/THz)

  Neuromorphic photonic auditory systems

  Optical tactile sensing for robotics

  Brain-machine interfaces with photonic readout

  Optical flow sensors for micro-robotics

  Bio-hybrid optical sensors with living cells

• Optical AI Algorithms

• Physics-aware training for photonic networks

  Self-supervised learning in optical systems

  Distributed optical learning frameworks

  Quantum-enhanced optical machine learning

  Explainable AI for diffractive models

  Robustness optimization for noisy photonic hardware

  Federated learning across photonic edge nodes

  Neural architecture search for optical hardware

• Photonic Hardware Innovation

• Silicon-based neuromorphic photonics

  Advanced materials for optical synapses

  3D-integrated photonic computing chips

  Optically programmable interconnects

  Cryogenic photonic processors

  Wafer-scale manufacturing of optical AI hardware

  Flexible photonic substrates for wearable AI

  Optical computing with topological photonics

Contact

For any inquiries regarding the ONNNC 2026 conference, please contact us at: onnnc@outlook.com