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 ...

Despite advances, AI models continue to be geared towards the needs of English-speaking people in high-income countries.

Artificial intelligence (AI) is rapidly reshaping the landscape of leukemia diagnosis, offering new possibilities for earlier detection, more precise classification, and improved patient care, ...

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

Abstract: Multi-label image classification is a crucial task in computer vision. To improve the classification accuracy of multiple objects within an image, many researchers attempt to construct graph ...

MachineTranslation.com has launched SMART, a consensus translation feature that harmonizes outputs from multiple AI engines ...

Abstract: Multi-instance partial-label learning (MIPL) tackles scenarios where each training sample is represented as a multiinstance bag associated with a candidate label set. This set contains one ...

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 ...