Leaders see alerts firing correctly for the obvious events and reasonably conclude the system works. The failures it can't ...

Combining satellite technology with machine learning may allow scientists to better track and prepare for climate-induced natural hazards, according to new research. Combining satellite technology ...

The data delivered to Epicore Biosystems was then used to create machine-learning algorithms to refine the Connected Hydration technology. "We want to know: How much sweat is inside the device and how ...

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 ...

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 ...

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 ...

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

This is a list of curated tools and resources that can help you plan, develop and integrate Monitoring, Evaluation, and Learning (MEL) into your work throughout the programme cycle, as well as to ...