Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

In a first, Australian scientists turned to quantum machine learning to model semiconductor design, outperforming classical approaches.

This is a valuable study on how past sensory experiences shape perception across multiple time scales. Using a behavioural task and reanalysed EEG data, the authors identify two unifying mechanisms ...

Removal of haze and thin clouds in remote sensing images has been extensively studied, leading to the development of effective methods. However, when applied to wide-swath images, conventional ...

The feature maps of the source images are derived from the convolution layers on which the texture analysis is done to evaluate a weight map. Linear weights-based spatial domain fusion is employed ...

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 ...

By leveraging the concept of chirality, or the difference of a shape from its mirror image, EPFL scientists have engineered ...

A new material platform has enabled scientists to create photon pairs whose entanglement can be tuned from a layer thinner ...

A scientific team supported in part by the National Institutes of Health (NIH) has developed a new, ultra-high-resolution ...

A new study published in Cell on July 10 has reported the world's fastest high-resolution three-dimensional (3D) imaging technology for the entire body of small animals at subcellular resolution, ...