The study, titled “GenAI-Powered Framework for Reliable Sentiment Labeling in Drug Safety Monitoring,” published in Applied ...

Million Records Built from Live Attack Traffic Released to Advance Cybersecurity Research at the University of ...

A new machine learning tool called PhysMAP separates the electrical signatures of different cell types, offering a new way to ...

Robotics programs require egocentric, multi-sensor training data at a scale that is growing exponentially, creating a procurement challenge distinct from any prior AI development cycle  Annotation ...

With the rapid development of cross-border agricultural e-commerce, consumer reviews have become a critical data source reflecting product quality and service experience. This study focuses on ...

At AACR 2026, researchers discussed the promise and challenges of bringing AI-powered tools into cancer research and clinical ...

Background Patients who consult their GP about psychological complaints, such as feeling anxious or depressed, are often ...

Two major studies published simultaneously in Paris on January 7, 2026 put a spotlight on something most families eat every ...

Combining hyperspectral imaging and AI, this research identifies oxidative stress in red blood cells, paving the way for ...

White matter pathways allow distant parts of the brain to communicate, supporting memory, emotion, and language. One such ...

To address AI bias at its roots, we must understand the human heuristics that shape it. Unlike prior frameworks that focus ...

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...