SWAU introduces new certificate in machine learning

Southwestern Adventist University is expanding its academic offerings with a new Machine Learning Certificate Program designed to equip students with skills in one of the fastest-growing areas of ...

AI identifies new particle models that may explain neutrinos' tiny mass

Physicists at the University of California, Irvine, have developed an artificial intelligence system that can autonomously ...
Tech Xplore

New federated learning algorithm enables private, robust, and fast AI development

Three heads are better than one. Versions of this proverb are found worldwide and throughout history. Yet in the race to ...
IEEE

Learning Continuous Spatiotemporal Implicit Neural Fields for Unsupervised Video Denoising

Abstract: Video denoising is fundamental to low-level vision and real-world imaging, yet existing self-supervised methods remain fragile under severe noise and complex motion. Most approaches still ...
IEEE

rPPG-NDCL: Unsupervised Remote Physiological Measurement Via Noise-Disentangled Contrastive Learning

Abstract: Remote photoplethysmography (rPPG) utilizes cameras for noninvasive monitoring of vital signs and has attracted widespread attention. Unsupervised methods have become the primary focus of ...

From Black Holes to Machine Learning: Quantum Horizons Expand at QMAT 2026

From superconductors and AI-driven quantum analysis to black hole physics, Day 2 of QMAT2026 highlighted cutting-edge ...
technologynetworks

Multiomics Data Integration With Machine Learning: Methods, Tools, and Biological Applications

Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...