IEEE

A Prediction-Sampling-Based Multilayer-Structured Latent Factor Model for Accurate Representation to High-Dimensional and Sparse Data

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 ...
eLife

Barcode activity in a recurrent network model of the hippocampus enables efficient memory binding

The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.
TMCnet

MicroCloud Hologram Inc. Releases Learnable Quantum Spectral Filter Technology for Hybrid Graph Neural Networks

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 ...
IEEE

Two New Algorithms for Maximum Likelihood Estimation of Sparse Covariance Matrices With Applications to Graphical Modeling

Abstract: In this paper, we propose two new algorithms for maximum-likelihood estimation (MLE) of high dimensional sparse covariance matrices. Unlike most of the state-of-the-art methods, which either ...
The Daily Beast

‘The Matrix’ Actor Dies at 57

Australian actor Martin Grelis, who appeared in the 1999 first installment of The Matrix film series, has died at the age of 57. “Martin was a bright spark who lit up every room he was in—a talented ...
Yahoo News UK

Matrix actor dead at 57

Martin Grelis has died at the age of 57. The Matrix actor's passing was confirmed on Tuesday (16.12.25) by his talent agency Sophie Jermyn Management, but no details of the cause of his death have ...