The current MA risk adjustment model has shortcomings, both in predictive accuracy and payment equity across the Medicare program, which could be mitigated using lessons from machine learning.

This ribbon of tarmac in the Ardennes is one of the sport’s historic venues, featuring in the first F1 season way back in 1950. But as yesterday’s race showed, the current F1 machinery is utterly ...

Sathish Kaniganahalli Ramareddy's work represents one example of this larger industry movement. His research into cloud-native AI platforms, predictive analytics, and intelligent enterprise ...

Discover how financial platforms build machine learning pipelines, create synthetic features, cut fraud, and manage development costs effectively.

Breaking research presented today at ADLM 2026 in Anaheim, California suggests that machine learning (ML) could play an important role in enhancing the accuracy of a standard blood test used to ...

Anthropic's Boris Cherny, creator of Claude Code, shares the best strategies for getting the high quality outcomes.

Image courtesy by QUE.com The Convergence of Machine Learning and Material Science The global transition toward sustainable ...

SICK has introduced a new configurable AI-powered 3D machine vision solution that combines deep learning with precise height ...

Milky Way ghost galaxy count expands as Istanbul University researchers use a 12-dimensional machine learning pipeline on 1.4 ...

AI tools are already being used in hospitals, clinics and doctors’ offices. Who is making treatment decisions, and who is ...

A 2026 study found that even when AI tools are trained on unbiased data, the AI tools can invent their own biases about demographic groups during an employee hiring task.