marktechpost

DeepSeek Researchers Apply a 1967 Matrix Normalization Algorithm to Fix Instability in Hyper Connections

DeepSeek researchers are trying to solve a precise issue in large language model training. Residual connections made very deep networks trainable, hyper connections widened that residual stream, and ...
IEEE

Improvement of Spatial Resolution and Strain Measurement Range Based on Adaptive Matrix Block Weighting Method in Long-Distance OFDR System

Abstract: In this study, we present and experimentally verify a method based on the adaptive matrix block weighting (AMBW) algorithm to achieve large-strain measurement in long-distance, ...
Hosted on MSN

Allies and algorithms: The matrix and partnerships shaping AI’s future

CNBC's Squawk Box Asia Martin Soong and Chery Kang talk about AMD's chip supply deal with OpenAI, plus the web of alliances, cross shareholdings and the money loop that could shape the AI space. Major ...
Frontiers

COCαDA - a fast and scalable algorithm for interatomic contact detection in proteins using Cα distance matrices

1 Laboratory of Bioinformatics and Systems, Department of Computer Science, Federal University of Minas Gerais, Belo Horizonte, Brazil 2 Laboratory of Bioinformatics, Visualization and Systems, ...
Frontiers

Density peak clustering algorithm based on weighted mutual K-nearest neighbors

1 School of Computer Science and Technology, Yibin University, Yibin, China 2 School of Computer and Software, Southwest Petroleum University, Chengdu, China Ever since Density Peak Clustering (DPC) ...
Visual Studio Magazine

Matrix Inverse Using Cayley-Hamilton with C#

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 ...