Last year, onlookers observed a startling site on China’s Qiantang River: waves forming a grid-like pattern. Dubbed the “matrix tide,” this complex wave pattern was caused by the river’s famed tidal ...

Collaborative filtering generates recommendations by exploiting user-item similarities based on rating data, which often contains numerous unrated items. To predict scores for unrated items, matrix ...

Abstract: It is known that the methods of distributed arithmetic can significantly improve the computational efficiency of calculating the inner products of two vectors. High efficiency is achieved in ...

Abstract: In this paper, we propose a fully quantized matrix arithmetic-only BERT (FQ MA-BERT) model to enable efficient natural language processing. Conventionally, the BERT model relies on floating ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most challenging tasks in numerical ...

Department of Organic and Macromolecular Chemistry, Faculty of sciences, Polymer Chemistry and Biomaterials Group (PBM), Centre of Macromolecular Chemistry (CMaC), Ghent University, Ghent, Belgium ...

ABSTRACT: Variational methods are highly valuable computational tools for solving high-dimensional quantum systems. In this paper, we explore the effectiveness of three variational methods: density ...

Matrix of Current Developing Country Proposals on Establishing Rules and Procedures for the Process of Negotiations ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Newton iteration algorithm. Compared to other algorithms, Newton ...

this appears to be an oversight. @ara4n confirmed that the original kept at https://github.com/element-hq/logos/blob/master/matrix/matrix-logo.svg (which is #000 ...