Neural Texture Compression (NTC) is a new technique that improves texture quality while reducing VRAM usage. It relies on a specialized neural network trained to compress ...

Artist Terence Broad makes AI produce images without any training data at all.

A new study shows AI can detect Parkinson’s disease with 94.4% accuracy by analyzing volatile organic compounds in earwax ...

The study found that deep learning models, especially CNNs, were the most frequently implemented technique (61.2%), followed ...

Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to partly emulate the functioning and structure of biological neural networks. As a ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

Researchers have developed a groundbreaking 3D brain model that closely mirrors the architecture and function of the human brain.

Among the more interesting of these is neural texture compression, or NTC. As developers pursue more realistic gaming ...

QUT robotics researchers have developed a new robot navigation system that mimics the neural processes of the human brain and ...

Drawing from an unparalleled news gathering network across 150 countries, AFP is also a world leader in digital verification. With 2,600 staff representing 100 different nationalities, AFP covers ...

Our SACN has several advantages: (1) In visual feature extraction module, a convolutional neural network (CNN) with multi-losses is introduced to extract more distinguishing visual features. (2) In ...