Cibaca continues to explore image classification and deep learning from a research-first perspective. Her ongoing work ...

Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical ...

Researchers have developed a new alternative to mammography for breast imaging. The technique, photoacoustic computed ...

The researchers report that their model achieved a 93% cross-validation score in binary classification, underscoring its ...

Previous methods struggle to incorporate real-time data or account for nonlinear interactions among macroeconomic variables.

The research draws on two existing approaches to better estimate stars’ ages.

New research reveals a surprising geometric link between human and machine learning. A mathematical property called convexity ...

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

A Caltech-led team has developed a safe, effective, and painless breast imaging technique that incorporates machine learning to help differentiate between suspicious and healthy tissue.

New research reveals a surprising geometric link between human and machine learning. A mathematical property called convexity may help explain how ...