Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

Large kernel convolution provides the inspiration for the above issue. To explore the potential of large kernel convolution, we propose a hyperspectral image (HSI) classification algorithm in this ...

Efficient convolution operations are vital for deep learning but are frequently computationally demanding. This paper introduces an optimization strategy leveraging the Image-to-Column (im2col) ...

A single-experiment NMR methodology was recently proposed for characterizing chemical structures in solution. This approach employs measured and computed one-bond carbon–carbon J-couplings to ...