Abstract: Performing highly accurate representation learning on a high-dimensional and sparse (HiDS) matrix is of great significance in a big data-related application such as a recommender system. A ...
Abstract: This article aims to reduce the ripple current in the inductor used in a quasi Z-source ultra sparse matrix converter (USMC). The main limitations of the conventional USMC are limited ...
The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.
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 ...