How discovering that different parts of the brain work together as networks has transformed our understanding of everything ...

AI in medical imaging market growth is driven by deep learning advancements, personalized medicine, lack of radiologists, and AI integration in telemedicine. It faces challenges like high costs, data ...

Researchers at TU Wien are developing a model that interprets opinions not as diametrically opposed poles, but as overlapping ...

Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...

However, a closer look confirms that DLSS 4.5 and Model M’s anti-aliasing have the, if you’ll pardon the word choice, edge.

A new forensic framework designed specifically for the Internet of Things (IoT) is discussed in the International Journal of ...

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 ...

Researchers at the University of Michigan developed a machine learning–based digital twin to map real-time tumor metabolism ...

The Indonesian Throughflow carries both warm water and fresh water from the Pacific into the Indian Ocean. As the only ...

The researchers also found that combining data from both the Maluku Strait and the nearby Halmahera Strait further improved ...

One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...

Real-time microscopy and AI reveal how atomic wetting controls tin oxide nanowire growth inside carbon nanotubes, uncovering ...