Scientists turned to AI to help develop a new alloy that’s perfect for a simple 3D-printing process.

Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...

A WORLD FREE of poverty would once have sounded fanciful. For most of human history it was barely even imaginable. Around ...

Background Transcatheter aortic valve replacement (TAVR) has increasingly emerged as one of the primary treatments for ...

A machine-learning strategy has generated a new class of ultra-high strength and ductility steel for 3D printing that costs less, resists rust, and ...

A machine-learning strategy has generated a new class of ultra-high strength and ductility steel for 3D printing that costs ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

As the core equipment in industrial production, rotating machinery bearings play a critical role. However, traditional feature extraction algorithms for vibration signals are susceptible to noise ...

A machine learning algorithm used gene expression profiles of patients with gout to predict flares. The PyTorch neural network performed best, with an area under the curve of 65%. The PyTorch model ...