Standard CNN layers are re-engineered for optical computation. 3×3 convolution kernels mapped to interferometer meshes. Latency equals photon travel time—near-zero delay. A radical shift in how neural networks compute.🌟 Follow us on LinkedIn! Check the updates from the website: www.cleverproject.eu 🌟 Full…
A photonic Convolutional Neural Network runs threat detection in optical hardware. Tests show near-perfect accuracy and extreme speed on real traffic data. Energy demand drops sharply, aligning with 6G sustainability goals. Optics-based intelligence protects the network core.🌟 Follow us on LinkedIn! Check…
With DenseNet + NN, our models achieve 84% test accuracy, leading the way in automated underwater monitoring.
👩🏭As 6G networks approach, integrating AI for ubiquitous connected intelligence is paramount. Our paper, “Photonic-accelerated AI for cybersecurity in sustainable 6G networks,” details a photonic-based CNN solution for real-time DoS attack detection, achieving a 99.73% mean F1-score with 4-bit resolution. …
