The development of every field relies on a few foundational classic books, and artificial intelligence is no exception.

An introduction to machine learning including key concepts, methods and algorithms. The course has a focus on neural networks and training methods and includes the practical application and ...

Machine learning (ML) is not only reshaping the tech industry but also making significant strides in environmental studies, ...

Scientists have developed a method using machine learning to better analyze data from a powerful scientific tool: nuclear magnetic resonance (NMR). One way NMR data can be used is to understand ...

Our findings suggest that integrating machine learning into traditional statistical methods can provide more accurate and generalizable models for disease risk prediction.

Researchers have developed a framework that uses machine learning to accelerate the search for new proton-conducting materials, that could potentially improve the efficiency of hydrogen fuel cells.

Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in ...

Researchers at Northeastern University can predict the emergence of a dengue fever outbreak with 80% accuracy—a breakthrough ...

Background There is a lack of atrial fibrillation (AF) prediction models tailored for individuals without prior ...

Researchers from the Texas A&M College of Agriculture and Life Sciences Department of Entomology and Department of ...