Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

Many small businesses use AI, but have you ever wondered how they work and where AI models get their data from?

A multi-institutional team of researchers led by Virginia Tech's Fralin Biomedical Research Institute at VTC has for the first time identified specific patterns of brain chemical activity that predict ...

In hopes of providing a better monitoring system for those seeking to mitigate the negative effects of gentrification, ...

Rules-based automation (RBA) and learning are two training mechanisms in robotics. While there are many others, these are two ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

Medical researchers at Mass General Brigham say the self-supervised foundational model can identify inherent features from ...

Lawrence Berkeley National Laboratory (Berkeley Lab) is working to transform petabytes of imaging data from advanced light ...

Schizophrenia is a severe and often highly debilitating psychiatric disorder characterized by distorted emotions, thinking patterns and altered perceptions of reality, as well as mental impairments.

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning models. So how are researchers working to improve computing efficiency to ...

Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...