BIOENGINEER

Machine Learning Meets Ballistics: Predicting How PEEK Plates Deflect High-Speed Impacts

Researchers combined ballistic experiments, finite element modeling, and a neural network to predict how PEEK plates fail ...
BIOENGINEER

Machine Learning Turns Routine Yield Data Into Reaction Kinetics

Researchers at the University of Tokyo developed CYAN, a machine-learning method that extracts reaction rate constants from routine yield-optimization data, revealing a counterintuitive nickel ...
Symmetry Magazine

Machine learning and experiment

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 ...
Semiconductor Engineering

How Many Design Experiments Does A Machine Learning Predictor Actually Need?

Machine learning prediction in CAE has a clear proposition: Train a predictor on solved design experiments, then evaluate new designs in seconds instead of hours. The proposition is only as good as ...
startupbeat

Why putting machine learning models into production remains an engineering challenge

Machine learning has become an important component of enterprise applications, supporting use cases such as fraud detection, ...
techtarget

Generative AI vs. machine learning: Key differences and use cases

Machine learning and AI are transforming how businesses operate: improving efficiency, streamlining workflows, establishing consistency, maintaining security and compliance, and creating new ...