At its very core, machine learning is an advanced means of making sense of massive amounts of data, and for this reason, machine learning and monitoring should go hand-in-hand. With the ability to ...

Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.

Dotscience, a pioneer in DevOps for Machine Learning (MLOps), announced new platform advancements that offer the easiest way to deploy and monitor ML models on Kubernetes clusters, making Kubernetes ...

Please provide your email address to receive an email when new articles are posted on . Machine learning can use patient-reported outcomes to identify low disease activity in rheumatoid arthritis.

In the absence of a federal framework to monitor the impact of artificial intelligence in the clinic, the Coalition for Health AI (CHAI) is stepping in on post-deployment oversight. The Food and Drug ...

In hopes of providing a better monitoring system for those seeking to mitigate the negative effects of gentrification, ...

Remote sensing can help provide greater understanding of arid regions, water resource potential and dam failure.

A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Cambridge researchers have become the first to combine multiple image types—RGB (that mimics human vision), depth and infra-red—in a 3D camera set up to monitor premature babies in neonatal intensive ...