PINN, a transfer learning-enhanced physics-informed neural network, to predict melt pool morphology in selective laser ...

Computer vision programming is a rapidly growing field that empowers machines to interpret and understand the visual world, ...

Personalized approaches informed by physiological data could revolutionize areas like workforce training, mental health ...

A team has developed a new method that facilitates and improves predictions of tabular data, especially for small data sets with fewer than 10,000 data points. The new AI model TabPFN is trained on ...

Filling gaps in data sets or identifying outliers—that's the domain of the machine learning algorithm TabPFN, developed by a ...

A University of Alberta research team has successfully used machine learning as a tool for earlier detection of attention ...