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

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 ...

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

EEG-based machine learning predicted SSRI treatment response in depression with high accuracy. Learn how brain signals could ...

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

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

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting expertise.From neural networks to N ...

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 ...

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

After a decade of rapid innovation, cities are building the tools and partnerships needed to manage autonomous vehicles, AI ...