Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

Cambridge researchers map the convergence of biomarkers, digital phenotyping, and AI toward biologically grounded ...

The peer-reviewed invited review in Brain Medicine titled "New approaches to enhance the diagnosis of psychiatric disorders," is freely available via Open Access, starting on 10 March 2026 in Brain ...

The effort could supply data that finally gives pedestrian infrastructure the funding it deserves. New York City is a city of walkers. More trips are made on foot than by car (41% versus 28%) and the ...

By Rhett Ayers Butler Conservation has long wrestled with a deceptively simple question: not whether to act, but where action will matter most. Forest restoration, protected areas, wildlife corridors, ...

AI-enhanced optical spectroscopy revolutionizes food quality monitoring with rapid, non-destructive analysis, ensuring safety and reducing waste in production.

Physical artificial intelligence (PAI) is the application of AI and machine learning (ML) algorithms to enable autonomous ...

How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by York University has found that not only could machine-learning models ...

Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more ...

A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.

Change is once again afoot at Big Machine Records. The label’s founder, Scott Borchetta, announced on Thursday that he’s exiting HYBE America, which acquired Big Machine Label Group (BMLG) as part of ...