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 ...

Changing assumptions and ever-changing data mean the work doesn’t end after deploying machine learning models to production. These best practices keep complex models reliable. Agile development teams ...

Aliso Viego, California-based Sentrian's remote patient monitoring program has been in a pilot with COPD patients at Anthem subsidiary CareMore for about six months, Sentrian founder and Chief Medical ...

In a recent article posted to the medRxiv* preprint server, researchers evaluate the predictive value of a multidimensional machine learning (ML) approach for monitoring the progression of Alzheimer’s ...

“Drought is different during spring versus summer versus fall. There’s so much data that we can have available to us, and so ...

Ali Abedi (center) and the wireless soil moisture sensor with graduate student Kenneth Bundy (left) and local high school teacher Ed Lindsey (right). Monitoring soil moisture is an important component ...

Researchers at the University of Lisbon in Portugal have developed a machine learning algorithm that classifies and predicts inverter failures in utility scale PV plants. The new algorithm monitors, ...

Overview: AI-driven precision farming enables real-time crop monitoring using data from sensors, satellites, and drones to ...

The Transaction Monitoring in Fintech Market is expanding as fintech firms deploy AI- and ML-driven systems to combat fraud and meet compliance demands, with the U.S. segment growing from USD 1.98 ...

If you liked this story, share it with other people. Scientists have combined passive acoustic monitoring, machine-learning tools and aerial surveys to estimate the population of North Atlantic right ...