Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Imagine having a super-powered lens that uncovers hidden secrets of ultra-thin materials used in our gadgets. Research led by University of Florida engineering professor Megan Butala enables a novel ...

For more than 20 years in experimental particle physics and astrophysics, machine learning has been accelerating the pace of science, helping scientists tackle problems of greater and greater ...

A study published in the Journal of Critical Care, conducted with the participation of the D'Or Institute for Research and Education (IDOR), investigated how to measure efficiency in the use of ...

Please provide your email address to receive an email when new articles are posted on . The model, along with a traffic-light system, boosted sensitivity and specificity of agitation recognition.

Subtle signs of Alzheimer's disease can emerge decades before a diagnosis - often in the form of irregular behaviors that reflect very early stages of brain dysfunction. But until now, identifying and ...

As shipping activity in the Arctic and North Atlantic oceans increases with reductions in sea ice because of climate change, the National Research Council of Canada (NRC) is working to improve the ...