Research students at LSU are working to decrease intersection crashes through implementing an artificial intelligence algorithm that can quickly detect and react to traffic lights.

An algorithm allows for 15 times quicker prediction of high-energy particle collisions in a fusion reactor by slashing ...

Researchers from New York City-based Mount Sinai have developed an AI algorithm to help physicians identify patients with hypertrophic cardiomyopathy by assigning a numeric probability risk assessment ...

A test case where the cycle connects the tail to the head, and slow and fast meet at the tail in the cycle detection algorithm. Let me clarify: The test case where slow and fast meet at the tail, but ...

It provides a platform for researchers and technical experts to share their progress in developing improved detection methods, algorithms, and software tools for radiation portal monitors (RPMs).

while deep learning-based object detection algorithms often underperform in complex scenarios such as shadowed pavement surfaces. To address these issues, by combining a shadow removal model (Residual ...

As Ripple’s native token has endured market fluctuations, XRP has experienced bullish and bearish trends throughout its cycles. Many investors are eager ... passive profit expectations. Current AI ...

AI-driven algorithms are essential to process complex diffraction data and significantly enhance detection accuracy.” At these scales, seemingly insignificant defects — atomic-scale voids in hybrid ...

Abstract: The detection of soil freeze-thaw (F/T) states is crucial for understanding surface hydrological processes, carbon cycle dynamics ... This study implements an edge detection algorithm to ...