Men Are Buying Hacking Tools to Use Against Their Wives and Friends

In Telegram groups, men are sharing thousands of nonconsensual images of women and girls, buying spyware, and engaging in ...
Tech Xplore

New method makes neural networks three times faster in wave propagation problems

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

Intel's new AI compression tech can significantly shrink game texture sizes and reduce VRAM use

TSNC is being positioned as a practical path for developers who already ship BC-compressed assets and want to squeeze more data into the same storage, bandwidth, ...

Intel TSNC Promises Up to 18x Texture Compression With Neural Tech

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

UK team says brain-inspired chip could cut AI energy use by up to 2,000x

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

The 3-in-1 neuromorphic image sensor that works more like a retina than a camera

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.
AlphaGalileo

Hybrid structure for enhancing robustness in optical diffractive neural networks without vaccination training

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

Brain-inspired chip claims 70% cut in AI energy use, Cambridge says

University of Cambridge researchers have developed a nanoelectronic device built from hafnium oxide that mimics how biological synapses process information, and the University of Cambridge says it ...
IEEE

DSNet: Dynamic Stitchable Neural Network for Hyperspectral Image Classification

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 ...
GitHub

ResNet-50 Image Classification

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 ...