WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...
Plastics Today

Machine Learning Cracks the Plastics Code

Today, the plastics industry stands at the threshold of a technological revolution, with artificial intelligence and machine learning poised to transform everything from material development to ...
IEEE

Self-Supervised Learning of Contrast-Diffusion Models for Land Cover Classification in SAR Images

Abstract: Deep learning (DL) methods have been widely applied to synthetic aperture radar (SAR) land cover classification. The complexity of SAR data and the limited availability of labeled samples ...
C&EN

Deep Learning-Based Shape Classification for Hyperspectral-Imaged Microplastics

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...
Hacker

I-Machine Learning for the Birds: Ukwakha I-Our Own Bird Vocalization Classifier

I-Machine Learning for the Birds: Ukwakha I-Our Own Bird Vocalization Classifier nge Picture in the Noise 20 imiz read 2025/06/08 XH ...
Yahoo

DC's Batman and Image Comics/Ghost Machine's Geiger to Cross Over Through New Variant Covers

DC Comics and the creators behind the Image Comics/Ghost Machine line have announced a new crossover that will see the two companies trading artists for a pair of very cool variant covers. It's ...
Frontiers

Migraine triggers, phases, and classification using machine learning models

1 San Juan Bautista School of Medicine, Caguas, Puerto Rico, United States 2 Independent Researcher, Monmouth County, NJ, United States Background: In many countries, patients with headache disorders ...
Frontiers

GLN-LRF: global learning network based on large receptive fields for hyperspectral image classification

Deep learning has been widely applied to high-dimensional hyperspectral image classification and has achieved significant improvements in classification accuracy. However, most current hyperspectral ...