Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...
In last-mile delivery, the critical operations occur within minutes of package handoff. Modern vehicles, continuously ...
Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic ...
Research shows how artificial intelligence is revolutionizing plastics manufacturing through material development and process ...
A new research paper featured on the cover of Volume 17, Issue 11 of Aging-US was published on October 30, 2025, titled “SAMP ...
Researchers at Thomas Jefferson University have developed an automated machine learning (AutoML) model that can accurately ...
The CytoDiffusion classifier analyses the shape and structure of blood cells to detect abnormalities that may indicate blood ...
Self-organizing maps, and the machine learning protocol involved in creating them, have been in use since the 1980s, Lawrence ...
NTT Research, Inc ., a division of NTT (TY;9432), today announced that members of its Physics & Informatics (PHI) Lab, in ...
As the adoption of artificial intelligence in healthcare rapidly grows, health tech company Artera aims to stay out in front ...
Machine learning researchers using MLX will benefit from speed improvements in macOS Tahoe 26.2, including support for the M5 GPU-based neural accelerators and Thunderbolt 5 clustering.
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