AI agents can materially strengthen compliance capabilities, but only when deployed within a robust governance framework. Regulators are increasingly focused not just on model performance, but on ...
Schizophrenia is a severe and often highly debilitating psychiatric disorder characterized by distorted emotions, thinking ...
A new artificial intelligence system is drawing renewed attention to one of paleontology’s oldest controversies. At the ...
SCAN project aims to build European GNSS-based and AI-driven technologies to detect and assess roadway pavement problems.
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...
In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...
Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
Abstract: Advancements in machine learning (ML) have facilitated the prediction of key aspects of human locomotion, particularly in identifying subject gait trajectories essential for recognizing ...
There is often no straightforward explanation for the various types of violence that occur around the world. In fact, even when using clear definitions (such as “Civil War,” “Invasion,” or “Local ...
A mysterious RNA molecule found only in breast cancer led researchers on a six-year hunt that uncovered an entire hidden layer of cancer biology. The story began with T3p, a tiny RNA molecule found in ...