Explainable AI was particularly valuable in validating the predictions. The Grad-CAM and Class Activation Mapping methods ...

Researchers have developed an optical computing system that performs feature extraction for quantitative trading with ...

Neural networks are algorithmic systems created based on the principle of the human nervous system. They consist of many ...

In a groundbreaking development at the intersection of artificial intelligence (AI) and medicine, Tobi Titus Oyekanmi, a ...

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...

A deep-learning artificial intelligence model trained on salivary gland biopsy images shows potential for classifying focus scores and Sjögren disease.

Why understanding AI’s layers is your competitive edge, and the three questions every IT leader must ask vendors.

Hundreds of studies have found that certain foods affect some people similarly to addictive substances like nicotine.

Zehong Wang, Xiaolong Han, Yanru Chen, Xiaotong Ye, Keli Hu, Donghua Yu (2022) Prediction of willingness to pay for airline seat selection based on improved ensemble learning Airlines have launched ...

Much of the news coverage framed this possibility as a shock to the AI industry, implying that DeepSeek had discovered a new, more efficient way to build AI. But distillation, also called knowledge ...

School of Dentistry, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada Introduction: Accurate assessment of midpalatal suture (MPS) maturation is critical in orthodontics, ...

This paper is dedicated to the memory of my grandma. This is probably the only paper in my life that was written in a hospital the entire time. This is also at the same time the very first work in my ...