AI captures particle accelerator behavior to optimize machine performance

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

Silicon metasurfaces boost optical image processing with passive intensity-based filtering

Of the many feats achieved by artificial intelligence (AI), the ability to process images quickly and accurately has had an ...
The Manila Times

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
IEEE

Machine Vision-Oriented Image Quality Evaluation for Face Super-Resolution

Abstract: Super-resolution technology can improve recognition accuracy of low-resolution face images. However, existing face super-resolution techniques often suffer from identity change and ...
IEEE

Exploring Multimodal Knowledge for Image Compression via Large Foundation Models

Abstract: Knowledge is an abstraction of factual principles of the physical world. Large foundation models encapsulate extensive multimodal knowledge into the parameters and thus invoke machine ...
GitHub

StableCodec: Taming One-Step Diffusion for Extreme Image Compression

Diffusion-based image compression has shown remarkable potential for achieving ultra-low bitrate coding (less than 0.05 bits per pixel) with high realism. However, current approaches: (1) Require a ...
Hosted on MSN

First-ever black hole image sharpened using machine learning

The historic first image of the Messier 87 (M87) supermassive black hole, captured using the Event Horizon Telescope, has been sharped using a machine learning technique called PRIMO. PRIMO is short ...