MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...

A new study identifies the right number to reap the health benefits of walking. By Simar Bajaj Walking 10,000 steps a day has long been a fitness cliché. But new research suggests that the health ...

Abstract: SimpleConvolution is the most important and time-consuming part of convolutional neural networks (CNN) for image processing. Each slide of the window in two-dimensional convolution will ...

U-Net and its variants have been widely used in the field of image segmentation. In this paper, a lightweight multi-scale Ghost U-Net (MSGU-Net) network architecture is proposed. This can efficiently ...

Among the architecture redesign options mentioned, using efficient blocks, specifically depthwise separable convolutions, is probably the easiest to implement as a proof of concept (POC). Depthwise ...

In the modern era, there has been explosive growth in the demand for computing power for cognitive image and video processing. While convolutional neural networks offer improved performance for image ...

" - Example: $a^{[l]}_i$ denotes the $i^{th}$ entry of the activations in layer $l$, assuming this is a fully connected (FC) layer.\n", "- $n_H$, $n_W$ and $n_C ...