Nature

Reconfigurable magneto-optical diffractive neural network with enhanced optical phase modulation

We report image classification using a diffractive neural network based on the magneto-optical effect (MO-DNN). Diffractive neural networks (DNNs) offer unique advantages such as low power consumption ...
Nature

Network-based intrusion detection using deep learning technique

A high growth rate in network traffic and the complexity of cyber threats have made it necessary to create more effective and flexible intrusion detection systems. Most traditional Network-based ...
Phys.org

Using geometry and physics to explain feature learning in deep neural networks

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...
EurekAlert!

Pluggable multitask diffractive neural networks based on cascaded metasurfaces

A new publication from Opto-Electronic Advances, 10.29026/oea.2024.230005 discusses Pluggable multitask diffractive neural networks based on cascaded metasurfaces. Deep learning algorithms based on ...