Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

In an era where AI decides which brands get surfaced, summarized or cited, the question isn't "How can I rank higher?" It is ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

Toyota Research Institute said its findings largely support the recent surge in popularity of LBM-style robot foundation ...

Severe weather events, such as heavy rainfall, are on the rise worldwide. Reliable assessments of these events can save lives ...

Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data.

German software company PVRadar Labs has released a Python programming package for solar asset owners and engineers that want to build site-specific models.

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Radio-frequency fingerprints (RFFs) are promising solutions for realizing low-cost physical layer authentication. Machine learning-based methods have been proposed for RFF extraction and ...

In the past decades, odour discrimination with electronic noses has received a growing attention and much study has been done on how to classify odours using an array of gas sensors and a pattern ...

Common Data Set The Common Data Set (CDS) initiative is a collaborative effort among institutional researchers and guidebook publishers, as represented by the College Board, Peterson's, and U.S. News ...