Artificial intelligence models, pretrained on vast datasets, significantly outperformed a standard baseline model in ...

Using machine learning, researchers automatically calibrate a comprehensive climate model, improving simulations of difficult features and taking steps toward more reliable climate projections.

Cardiac fibroblasts (CF) can become activated and produce excessive extracellular matrix, contributing to fibrotic remodeling ...

Scientists developed a machine-learning tool that can teach itself, with minimal external guidance, to differentiate between ...

An international team of researchers has developed BiaPy, an open-code artificial intelligence platform that facilitates the ...

A team of Lehigh University researchers has successfully predicted abnormal grain growth in simulated polycrystalline ...

The study underscores that traditional statistical approaches, while valuable, often fail to capture the intricate relationships between environmental, temporal, and situational factors leading to ...

Machine learning is no longer just a tech buzzword. Businesses face constant pressure to stay competitive in an ever-changing digital environment. Many feel overwhelmed by the rapid pace of change […] ...

This valuable study introduces a self-supervised machine learning method to classify C. elegans postures and behaviors directly from video data, offering an alternative to the skeleton-based ...

A team of Lehigh University researchers has successfully predicted abnormal grain growth in simulated polycrystalline materials for the first time—a development that could lead to the creation of ...

Since generative AI began to garner public interest, the computer vision research field has deepened its interest in ...