Researchers at the University of Alabama at Birmingham now show a way to significantly cut the time needed for that analysis while utilizing more of the heart region, using deep learning and ...
Recent research is advancing seismic hazard modeling through AI-driven soil liquefaction prediction, interpretable machine learning, physics-based simulations, and waveform-based probabilistic ...
Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
A study found a machine learning model more accurately predicted major adverse cardiac events, such as heart attacks, than ...
This map depicts the predicted types of soil in Tokyo with an unprecedented level of detail. Such maps are essential for urban planning and earthquake risk assessment, as they reveal areas that are ...
New artificial intelligence technology streamlines assessment processes, replacing manual review systems with automated ...
AI is increasingly used to monitor solar assets, though it’s most commonly used for operations and maintenance. But, software and inspection data is also being integrated into how projects are ...
Tungsten's superior performance in extreme environments makes it a leading candidate for plasma-facing components (PFCs) in ...
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