Researchers have developed a technique that combines quantum computing with robust AI training, dramatically cutting the ...

Abstract: Sharpness-Aware Minimization (SAM) has been instrumental in improving deep neural network training by minimizing both training loss and loss sharpness. Despite the practical success, the ...

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...

Black-box optimization, particularly Bayesian optimization, is a practical approach for weather-intervention design, achieving meaningful rainfall ...

Abstract: Compared with microwave synthetic aperture radar (SAR), terahertz SAR (THz SAR) is easier to achieve ultrahigh-resolution image but more difficult to compensate motion errors. For the reason ...