A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

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

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

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

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

Around the world, millions of families have suffered forcible separation, through war, trafficking, natural disasters, or ...

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

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

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

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

BrainIAC, a breakthrough AI foundation model, is able to predict brain age, dementia, time-to-stroke, and brain cancer from brain magnetic resonance imaging (MRI).