A Miami startup says it has cracked a maths problem that has made AI models slow and power-hungry for almost a decade. The claim was bold enough to draw comparisons with Theranos. Now, though, the ...

The authors discover that vision model weights are approximately symmetric after removing a few outliers. Based on this, they propose DASQ—decomposing weights into a "dense symmetric kernel + sparse ...

Abstract: Sparse matrix storage optimization is crucial in expanding the occurrences of datasets in scientific computation, machine learning, and high-dimensional applications, in which the ...

Abstract: In recent years, sparse arrays have made considerable strides in resolving uncorrelated sources. However, the ubiquitous coherent sources across various emerging applications pose unique ...