CALL FOR PAPER
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
