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

Hardware fragmentation remains a persistent bottleneck for deep learning engineers seeking consistent performance.

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

The future of banking will see core bank systems rebuilt around artificial intelligence tools that inform decisions about ...

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 ...

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

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 verified manually after each race. Researchers at University of Tsukuba have ...

A growing movement of technically sophisticated patients are channeling their diagnoses into AI systems that address gaps ...

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

Across all included studies, AI-based diagnostic systems demonstrated high overall accuracy. When measured against expert ...

To move closer to that future, Mizzou researchers are developing highly accurate AI models that can examine images of patients' skin and evaluate subtle visual patterns—including the size, shape, ...