In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

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 ...

Hundreds of thousands of children in China have been separated from their parents. A Yale SOM study finds that a ...

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

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Opinion: A patent case involving inventor Guillaume Desjardins has evolved into a cornerstone of modern patent eligibility ...

IMSA mentioned machine learning for diagnostics, wireless networking and RFID applications as a potential area for discussion ...

Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could dramatically slash the cost and energy required to develop new lithium-ion ...

Cardiovascular disease continues to be the leading cause of death worldwide. To save lives, constantly improving diagnostic ...

Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...