Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...

A new AI dataset teaches machines to smell by associating smell data with images, letting models match odors to objects, ...

Researchers from Saarland University and the Max Planck Institute for Software Systems have, for the first time, shown that ...

Sebastiaan Overeem and Merel van Gilst don't necessarily want more accuracy when gathering sleep data from patients with sleeping disorders. Instead ...

The performance of skilled behaviors requires a balance between consistency and adaptability. Although the neural mechanisms that regulate this balance have been extensively studied at systems and ...

An AI tool that can analyse abnormalities in the shape and form of blood cells, and with greater accuracy and reliability ...

An AI tool that can analyze abnormalities in the shape and form of blood cells, and with greater accuracy and reliability than human experts, could change the way conditions such as leukemia are ...

Why it's not a time series model: Decision trees are non-parametric models that partition the data into subsets based on a ...

Dietary patterns high in ultra-processed foods (UPFs) have been associated with poor diet quality and health outcomes, and are displacing healthier dietary patterns—meals and dishes prepared with ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, has launched a groundbreaking technological achievement—a multi-class classification method based on ...

One of the most respected Microsoft cloud administration certifications available today is the Microsoft 365 Administrator (MS-102). So how do you pass the MS-102 certification? You practice by using ...

The AI products that succeed are rarely "moonshots." Success comes from a systematic framework that pairs business metrics with technical benchmarks, engineers reliable data pipelines, selects the ...