Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

SCAN project aims to build European GNSS-based and AI-driven technologies to detect and assess roadway pavement problems.

In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...

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 ...

Market growth is driven by industrial automation, predictive maintenance demand, AI/ML analytics adoption, IoT integration, and the need to reduce downtime and operational costs.Austin, Jan. 27, 2026 ...

Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...

New TMS biomarkers combined with machine learning accurately classified major depressive disorder. Learn more about this ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

The Impact of AI in Banking and Financial Services, evaluates how machine learning and natural language processing can be ...

Review re-maps multi-view learning into four supervised scenarios and three granular sub-tiers, delivering the first unified blueprint for researchers to navigate classification, clustering, ...