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

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to artificial intelligence ...

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 ...

Austrian economists have long criticized using mathematics to undergird economic analysis. It is time to apply that same ...

Recent progress in survival analysis has been driven by the integration of machine learning techniques with traditional statistical models, such as the Cox proportional hazards model. This synthesis ...

A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...

Recentive Analytics, Inc. v. Fox Corp., No. 23-2437 (Fed. Cir. 2025) – On April 18, 2025, the Federal Circuit upheld the district court’s dismissal of the case on the ground that the patents were ...

Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...

Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...

There is often no straightforward explanation for the various types of violence that occur around the world. In fact, even ...

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs without relapses, a study says.