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.

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 ...

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

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

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

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

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

Global climate models capture many of the processes that shape Earth's weather and climate. Based on physics, chemistry, ...

IMF researchers show that satellite data, especially nighttime lights combined with machine learning can reliably estimate ...