AI-designed diffractive optical processors pave the way for low-power structural health monitoring

A team of researchers at the University of California, Los Angeles (UCLA) has introduced a novel framework for monitoring ...
The Malaysian Reserve

MicroCloud Hologram Inc. Achieves Breakthrough in Practically Deployable Quantum Recurrent Neural Network (QRNN) Technology Oriented Toward Sequential Learning

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, released a core quantum machine learning technology oriented toward sequential learning tasks—the ...
eLife

Inverted encoding of neural responses to audiovisual stimuli reveals super-additive multisensory enhancement

A multivariate analysis of electroencephalography activity reveals super-additive enhancements to the neural encoding of audiovisual stimuli, providing new insights into how the brain integrates ...
IEEE

CFDNet: Coupling Computational Fluid Dynamics With Convolutional Neural Networks for Gas Detection Using Thermal Infrared Multispectral Video

Abstract: Gas detection is critically important in both industrial production and environmental monitoring. Due to the absorption characteristics of gases in the infrared wavelength domain, thermal ...
IEEE

Quantum-Eyes: Scalable Quantum Convolutional Neural Networks for Low-Overhead Object Detection [Research Frontier]

Abstract: Quantum neural networks (QNNs) are gaining attention as a promising foundation for next-generation machine learning. However, the practical deployment of QNNs, particularly in vision tasks, ...