Review re-maps multi-view learning into four supervised scenarios and three granular sub-tiers, delivering the first unified ...

Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...

WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning BEIJING, Jan. 05, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

Researchers at Duke University combined Dynamic Optical Contrast Imaging (DOCI) with AI to improve thyroid cancer detection ...

Modern approach to DSPM has one glaringly clear weak spot, neglecting a key aspect of enterprise data usage: the fact that ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Modern SDRs evolve from configurable platforms into intelligent wideband sensing systems combining high dynamic range, ...

A recent study by the Laboratory for Neuro-Analysis and Imaging (LANAI) at UMass Chan Medical School highlights how ...

The EW market shift to integrated, AI-enabled, modular systems offers opportunities in system-of-systems for multi-domain warfare. Success depends on delivering secure, software-defined ecosystems and ...

Thyroid cancer is the most common endocrine cancer, affecting more people each year as detection rates continue to rise.

What Are Non-Human Identities in Cybersecurity? Non-Human Identities (NHIs) might sound like a concept from a science fiction novel, but they are a crucial component. These unique “machine identities” ...