Abstract: This article proposes a novel calibration method for linear array antennas based on the scattering signals of a standard metal cylinder. The method sequentially activates each element of the ...

Abstract: The sparsity-regularized linear inverse problem has been widely used in many fields, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, ...

Penn researchers have developed a smarter AI method for solving notoriously difficult inverse equations, which help ...

Researchers have found a faster, more accurate way to design magnetic “bottles” that hold plasma for fusion power. Using symmetry theory instead of traditional, slow Newton-based calculations, they ...

We study a class of integer bilevel problems, the so-called Integer Linear Multiplicative Bilevel Problem, ILMBP, where the constraints are linear and both the upper level problem and the lower level ...

Liam Price just cracked a 60-year-old problem that world-class mathematicians have tried and failed to solve. He’s 23 years old and has no advanced mathematics training. What he does have is a ChatGPT ...

A network operator has warned a massive spike in power consumption from houses transitioning off gas has led to undervoltage. It is causing some households to be unable to use car chargers, cooktops ...

OpenAI's GPT-5.4 Pro model has apparently solved Erdős open math problem #1196. The model reportedly found the solution in about 80 minutes and prepared it as a LaTeX paper in another 30. Formal ...

A Chinese artificial intelligence system has successfully solved a decade-old algebra conjecture, originally proposed by American mathematician Dan Anderson in 2014. Developed by a Peking University ...