Researchers at Skoltech have proposed a new approach to training neural networks for wave propagation in absorbing media. The ...

Intel TSNC brings neural texture compression with up to 18x reduction, faster decoding, and flexible SDK support for modern ...

Physicists at Loughborough University have built a brain-inspired chip they say could slash the energy cost of certain AI ...

A nanowire diode with a built-in electron trap senses, denoises, and classifies images without separate processing hardware, mimicking the retina and opening a path to smarter edge computing.

By designing a hybrid system with variable-sized neurons, the key problems in the manufacturing process of ODNNs were ...

Although artificial intelligence (AI) has demonstrated potential in automating glaucoma screening, there is still a significant obstacle in transferring research datasets to actual clinical settings.

A team of researchers has built a neuromorphic computing platform from networks of hydrogenated nickelate junctions that consumes roughly 0.2 nanojoules per operation, a figure that could reshape how ...

Abstract: Hyperspectral image classification (HSIC) aims to identify land-cover categories by leveraging the spectral and spatial information contained in hyperspectral images (HSIs). Currently, many ...

This project implements ResNet-50, a deep convolutional neural network with 50 layers that uses residual connections to enable training of very deep networks. The architecture includes identity ...