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 ...

Advances in genome sequencing are giving more families access to prenatal genetic testing and new information about an unborn ...

WhatsApp has begun rolling out a new optional "Scam Alert" feature, which uses a local machine learning model to warn users ...

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 ...

Across the UK, financial institutions are using machine learning models to make decisions that affect millions of people. These decisions include credit approvals, fraud alerts, investment ...

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 ...

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