This review explores how generative AI, through models like VAEs, GANs, transformers, and diffusion networks is ...

Hikers on the Konza Prairie may look up this summer and see something unusual in the air. K-State researchers are employing ...

Ink authentication is often complicated by tampering, aging, and chemical variability. Now, forensic scientists are turning ...

To assess predictive potential, the researchers applied machine learning models—including gradient-boosted decision trees and ...

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 ...

This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in ...

Diffusion models are widely used in many AI applications, but research on efficient inference-time scalability, particularly ...

Seattle City Light underwent a shift to data-driven utility vegetation management to manage risks and improve reliability.

KAIST (President Kwang Hyung Lee) announced on the 20th that a research team led by Professor Sungjin Ahn in the School of Computing has developed a new technology that significantly improves the ...

Having an accurate estimation for Arkansas’ above ground forest biomass has numerous economic and environmental impacts, Dr.