The new monitoring platform aims to detect suspicious trading as prediction markets face scrutiny over insider information.

Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, United States College of Health Solutions, Arizona State University, Phoenix, United States ...

Artificial intelligence now plays Go, paints pictures, and even converses like a human. However, there remains a decisive difference: AI requires far more electricity than the human brain to operate.

In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...

This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...

Overview:Practical projects can help you showcase technical skill, programming knowledge, and business awareness during the hiring process.Designing end-to-end ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

Abstract: This research addresses the challenge of camera calibration and distortion parameter prediction from a single image using deep learning models. The main contributions of this work are: (1) ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

A few leftover donuts may not seem like a major problem, but for a fast-food operation with nearly 100 stores, unnecessary waste can add up to serious costs. To better predict donut demand, a ...

Dr. Jacqueline Naeem, vice president of clinical and social health at Parkland Center for Clinical Innovation, tells MobiHealthNews about her upcoming talk at the 2026 HIMSS Global Health Conference & ...