AI captures particle accelerator behavior to optimize machine performance

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

AI method accelerates liquid simulations by learning fundamental physical relationships

Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...
IEEE

Efficient Machine Learning-Based Semantic Segmentation Algorithm for Consumer-Grade AAV Remote Sensing

Abstract: The computational complexity of the Transformer model grows quadratically with input sequence length. This causes a sharp increase in computational cost and memory consumption for ...
techxplore

Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics

Their findings demonstrate that although spurious correlations—a simple example of which is when a machine-learning system, not having "seen" many cows pictured at the beach, classifies a photo of a ...

Thousands of Companies Are Driving China’s AI Boom. A Government Registry Tracks Them All

How the Cyberspace Administration of China inadvertently made a guide to the country’s homegrown AI revolution.
IEEE

Machine Learning-Based Algorithm for One-Dimensional Wave Spectrum Retrieval from SAR Imagery as Passing Oceanic Eddy

The inversion of the one-dimensional wave spectrum from dual-polarized synthetic aperture radar (SAR) data is performed using machine learning methods, namely Random Forest (RF), eXtreme Gradient ...