Upstart chipmakers keep challenging Nvidia. This time it's Microsoft-backed D-Matrix

Nvidia challenger D-Matrix is entering full production of an AI chip it says is 10 times faster than a GPU and bypasses the memory shortage.
IEEE

An Entropy Weighted Nonnegative Matrix Factorization Algorithm for Feature Representation

Abstract: Nonnegative matrix factorization (NMF) has been widely used to learn low-dimensional representations of data. However, NMF pays the same attention to all attributes of a data point, which ...
IEEE

Binary Codes Based on Non-Negative Matrix Factorization for Clustering and Retrieval

Abstract: Traditional non-negative matrix factorization methods cannot learn the subspace from the high-dimensional data space composed of binary codes. One hopes to discover a compact parts-based ...
GitHub

A Julia package for non-negative matrix factorization (NMF).

Note: Nonnegative Matrix Factorization is an area of active research. New algorithms are proposed every year. Contributions are very welcomed. Most types and functions (except the high-level function ...
Visual Studio Magazine

Matrix Inverse from Scratch Using SVD Decomposition with C#

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on an implementation of the technique that emphasizes simplicity and ease-of-modification over robustness and ...
GitHub

Vectorized Nonnegative Matrix Factorization with heteroscedastic uncertainties and missing data

NonnegMFPy ----- NonnegMFPy is developed and maintained by Guangtun Ben Zhu, It is designed to solve nonnegative matrix factorization (NMF) given a dataset with heteroscedastic uncertainties and ...
Frontiers

Novel Collaborative Weighted Non-negative Matrix Factorization Improves Prediction of Disease-Associated Human Microbes

Extensive clinical and biomedical studies have shown that microbiome plays a prominent role in human health. Identifying potential microbe–disease associations (MDAs) can help reveal the pathological ...
Searchenginejournal.com

How To Build A Recommender System With TF-IDF And NMF (Python)

Topic clusters and recommender systems can help SEO experts to build a scalable internal linking architecture. And as we know, internal linking can impact both user experience and search rankings.
Frontiers

Decontaminate Traces From Fluorescence Calcium Imaging Videos Using Targeted Non-negative Matrix Factorization

Fluorescence microscopy and genetically encoded calcium indicators help understand brain function by recording large-scale in vivo videos in assorted animal models. Extracting the fluorescent ...