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

Meta has announced it is to roll out a new optional feature that leverages an on-device AI machine-learning model to help ...

At VB Transform 2026, Kel Vanee, MVP of machine learning engineering at Capital One, spoke with Sam Witteveen, Senior Technology Contributor at VentureBeat, about how the bank built a scalable ...

Long before dark sunspots appear on the sun's surface, a new active region—where powerful solar eruptions can ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

Here’s one definition of science: it’s essentially an iterative process of building models with ever-greater explanatory power. A model is just an approximation or simplification of how we think the ...

A body of healthcare AI research connects data infrastructure, machine learning, and natural language processing across medical applications. The studies examine automated data collection, cancer ...

Researchers at Cincinnati Children's used local data to create a framework that predicts a child's hospitalization risk based on their address.

A rotating cylinder with its side cut away to expose the core, showing patches of purple, blue, green, yellow, and orange that are dense in the middle and more diffuse toward the edges. This rotating ...