Geospatial IntelligenceAssociate Professor Feng Chen-Chieh of the Department of Geography spoke to prospective students about ...

The results include a comparison between two different basis functions for temporal selectivity and how these generate different predictions for the dynamics of neural populations. The conclusions are ...

Thunderstorms are known to form preferentially on warm, humid days with unstable air. But predicting where exactly a thunderstorm will develop has so ...

PCA and K-means clustering applied to Raman and PL imaging reveal structural defects in silicon wafers, enhancing understanding of optoelectronic performance.

The ongoing AI revolution, marked by rapid advances towards artificial general intelligence (AGI), is transforming the way we live and work. This is ...

Yield loss from contamination demands more than detection. Learn how integrated inspection, materials analysis, and process correlation establish defensible root cause in semiconductor fabs.

Smart technologies will be the focus of the Geo Smart Mining Forum taking place in Singapore at the end of March.

Steven Weisberg, a researcher at The University of Texas at Arlington, put some of the most advanced artificial intelligence ...

Gaze patterns vary substantially among people with varying levels of vision, pointing to the need for individualized ...

The rapid evolution of the global digital landscape depends heavily on the invisible yet critical components that en ...

By transforming everyday smartphone signals into high-resolution mobility data, researchers have reconstructed how residents of Cuenca travel across the city and what those patterns mean for energy ...

Steven Weisberg, a researcher at the University of Texas at Arlington, found that advanced artificial intelligence tools could not uncover a clear link between brain structure and navigation ability ...