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 ...

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 ...

Regulations limit both the intensity and frequency of whip use during horse racing. Nevertheless, compliance is currently ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

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 ...

Learn how the Inception Net V1 architecture works and how to implement it from scratch using PyTorch. Perfect for deep ...

Mount Sinai researchers showed that deep learning applied to standard ECGs accurately detected chronic obstructive pulmonary ...

A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...