Researchers at Seoul National University and Kyung Hee University report a framework to control collective motions, such as ring, clumps, mill, flock, by training a physics-informed AI to learn the ...

Abstract: In order to effectively suppress the performance degradation caused by the cumulative nonlinear impairments due to the higher transmission rate and larger transmission capacity of optical ...

Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...

In today's machine learning field, deep neural network models are becoming increasingly large and complex, posing significant challenges to traditional electronic computing hardware. To address this ...

Abstract: Convolutional Neural Networks (CNNs) and Transformers have made remarkable achievements in hyperspectral image classification (HSIC). Unfortunately, CNN-based methods struggle to capture the ...

Skin cancer is among the most common cancers globally, which calls for timely and precise diagnosis for successful therapy. Conventional methods of diagnosis, including dermoscopy and histopathology, ...