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

The current MA risk adjustment model has shortcomings, both in predictive accuracy and payment equity across the Medicare ...

Artificial intelligence is no longer simply being used to analyse scientific data. Increasingly, AI is becoming integrated ...

James McDonagh discusses how AI and machine learning are transforming drug discovery and safety assessment, enhancing ...

How much ice is stored in the world's glaciers? And where exactly is it located? A new study led by Ca' Foscari University of ...

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

Waymo treats AI evaluation as continuous engineering, not a pre-launch check — a readiness model enterprises can apply to any ...

Rather than building from the ground up, you can harness a more powerful model and let it do the heavy lifting while your new, smaller model reaps the benefits. That, in a nutshell, is the basic ...

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 ...

With rising climate peril severity and frequency, insurance risk data providers point to the technology's improved capability ...

A person’s sleeping brain may reveal warning signs of dementia long before memory problems begin. Researchers used machine learning to analyze EEG recordings from about 7,000 adults and found that an ...

For grid-scale energy storage and national energy resilience, the U.S. needs better batteries. Lawrence Livermore National Laboratory (LLNL) scientists are tackling that challenge in many ways, but ...