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 ...

The terrestrial water cycle is a fundamental component of Earth's climate system, governing the exchange of water between land surfaces and the atmosphere.

The alternative text for this image may have been generated using AI. Decreased visual function in astronauts might lead to loss of productivity during missions, thus, close monitoring is of utmost ...

Hypertension is a significant risk factor for cardiovascular diseases. According to a World Health Organization survey, approximately one-third of adults aged 30–79 years have hypertension. Among them ...

On Friday the 22nd of May 2026, M.Sc. Juhani Kivimäki defends his PhD thesis on Confidence-based Performance Estimation in Machine Learning Model Monitoring. The thesis is related to research done in ...

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 ...

Explore how machine learning enhances energy monitoring in smart homes with CEO Mike Phillips from Sense. This interview ...

This 25-page handbook is written in a question-and-answer style and is a good starting point in understanding M&E. It provides an overview of some of the basic questions of project monitoring and ...