Let's say you're reading a story, or playing a game of chess. You may not have noticed, but each step of the way, your mind ...

Apart from simple diagnosis, the study takes an important step toward predictive health monitoring by modeling the risk of ...

With the recent first light milestone for the Vera Rubin Observatory, it's only a matter of time before one of astronomy's most long-awaited surveys begins. The Legacy Survey of Space and Time (LSST) ...

"Second?Shield is a living system," added Vignesh Krishnan, CTO, Rep?Data. "The more data it sees, the smarter it gets, giving our clients a proactive edge in an arms race where yesterday's tactics ...

Researchers have developed a new machine learning algorithm that excels at interpreting optical spectra, potentially enabling faster and more precise medical diagnoses and sample analysis.

In this paper, we propose a machine learning-based automated framework for algorithm selection and configuration for MPC applications. This framework aids the online implementation of MPC by selecting ...

Researchers developed a machine learning technique to predict obesity risk by analyzing sociodemographic, lifestyle, and health factors. The study, which achieved 79% accuracy, identified significant ...

Researchers used machine learning to generate highly detailed maps of over 100 million individual trees from 24 sites across the U.S. These maps provide information about individual tree species ...

A collaborative team of researchers led by Ben Weinstein of the University of Florida, Oregon, US, used machine learning to generate highly detailed maps of over 100 million individual trees from ...