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 ...
pv magazine International

Deep learning model improves PV segmentation in remote sensing images

Scientists have developed a deep learning model that improves PV panel segmentation in remote sensing images, by combining ...
Hackaday

Analyzing Feature Learning In Artificial Neural Networks And Neural Collapse

Artificial Neural Networks (ANNs) are commonly used for machine vision purposes, where they are tasked with object recognition. This is accomplished by taking a multi-layer network and using a ...
EurekAlert!

New framework enhances remote sensing image fusion with frequency-independent feature learning

A research team led by Prof. XIE Chengjun and ZHANG Jie from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, developed a frequency domain-independent feature learning ...