The IMF develops a machine-learning nowcasting framework to estimate quarterly non-oil GDP in GCC countries in real time, ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

Researchers at National University of Singapore used multiple interpretable machine learning methods to predict traffic congestion in in Alameda ...

The review reports that blockchain-enhanced federated learning systems typically achieve slightly lower raw accuracy than ...

Imagine a camera that keeps a laser pencil sharp down to a hair’s width—257 nm! New AI trick watches the tiny bright dot and nudges the stage so ...

Terahertz photonic crystal fiber sensors, powered by machine learning, could transform tuberculosis detection with rapid and ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

The cybersecurity landscape in 2026 presents unprecedented challenges for organizations across all industries. With ...

AI shapes daily life but remains unreliable and costly. Canada can lead by investing in the mathematics that make these ...

Perfecting a home-pulled espresso shot is no easy feat, but Breville offers a wide range of machines that give varying degrees of assistance, whether you're just starting out or looking to upgrade ...