According to Eirik Midttun, artificial intelligence (AI) and machine learning (ML) are useful tools for interpreting sensor data, especially when the input is complex, such as vibration, voice, and vi ...

Researchers have developed a machine-learning workflow for processing complex 2D X-ray total scattering data from thin film ...

Machine learning can be supervised, unsupervised, or semi-supervised. In supervised learning, models are trained on labeled data, meaning the input data is paired with the correct output.

The Big Data Analytics, Artificial Intelligence and Machine Learning research cluster tackles important problems and develops real-life applications, harnessing technologies to extract insights and ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

Estimating fuel savings from aircraft modifications is a laborious process for Air Force experts, but not for an SEI machine learning model.