Finding patterns and reducing noise in large, complex datasets generated by the gravitational wave-detecting LIGO facility ...

As industries across the globe integrate AI into their operations, the demand for top talent is skyrocketing, making now the ...

Machine learning (ML) algorithms are constantly finding new applications in all scientific fields, and geological engineering ...

We focus specifically on the depth maps in 3D video content and introduce an extreme forest model from machine learning to optimize intra-frame coding. This paper proposes a novel CU partitioning ...

The year 2024 is the time when most manual things are being automated with the assistance of Machine Learning algorithms. You’d be surprised at the growing number of ML algorithms […] ...

But which companies are delivering the most important work in the field of machine learning? In this list, AI Magazine looks into 10 of the organisations leading the charge. Each of these ...

In this post, we’d like to delve into the top 10 ML algorithms one should know about and use. These key components are typical for all Machine Learning algorithms, yet the current number of such ...

a machine-learning (ML) framework designed to assess the generalizability of RCT results systematically. By leveraging electronic health records (EHRs) and advanced ML algorithms, the framework ...

1 College of Sports, Nanjing Tech University, Nanjing, China 2 School of Athletic Performance, Shanghai University of Sport, Shanghai, China Objective: The 2-fold objective of this research is to ...