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

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

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 ...

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

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 ...

Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...

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

The neural network approach uses multiple or “deep” layers that learn to identify increasingly complex features in data. The ...

Regulations limit both the intensity and frequency of whip use during horse racing. Nevertheless, compliance is currently verified manually after each race. Researchers at University of Tsukuba have ...

Artificial intelligence (AI) electrocardiogram (ECG) data are promising for early detection of chronic obstructive pulmonary disease (COPD).

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