Learn how to build, collect, and analyze real-time data using a low-cost data acquisition device trainer and a machine learning model. This first article in a two-part hands-on tutorial will show you ...

This rapid growth can be attributed to the fact that working in tandem, the duo (machine learning and real-time data) can enable organizations to unlock transformative use cases.

While the automotive industry is looking at the sensor degradation problems deterministically, machine learning offers a venue to perform degradation-related analysis using pattern recognition models.

Weather prediction systems provide critical information about dangerous storms, deadly heatwaves and potential droughts, ...

"Once you have enough data and computational power, you can make predictions with machine learning models about any real-world complex system." ...

Researchers used multimodal wearable sensors and machine learning to track real-time fatigue in manufacturing workers, revealing critical insights into individual fatigue patterns and potential ...

Russ Schumacher receives funding from the National Oceanic and Atmospheric Administration for research on applying machine learning to improve forecasts of high-impact weather. Aaron Hill receives ...

Machine learning models are becoming increasingly important in the prediction of economic crises. The models, however, use datasets comprising a large number of predictors (features) which impairs ...