Why topical authority isn’t enough for AI search

AI systems don’t just evaluate content. They choose between entities. Learn the nine-cell model that explains how selection ...
Communications of the ACM

The Origins of GPU Computing

Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable ...
IEEE

MBHGA: A Matrix-Based Hybrid Genetic Algorithm for Solving an Agent-Based Model of Controlled Trade Interactions

Abstract: The article discusses the development and study of a new matrix-based hybrid genetic algorithm (MBHGA) for solving an agent-based model of firms’ behavior with controlled trade interactions.
EDN

Power Tips #149: Boosting EV charger efficiency and density with single-stage matrix converters

An onboard charger converts power between the power grid and electric vehicles or hybrid electric vehicles. Traditional systems use two stages of power conversion: a boost converter to implement unity ...
Seeking Alpha

WiMi Leverages Quantum Supremacy to Break Through Data Limitations in Machine Learning

BEIJING, Oct. 15, 2025 /PRNewswire/ -- WiMi Hologram Cloud Inc. (WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, they announced the development ...
marktechpost

RXTX: A Machine Learning-Guided Algorithm for Efficient Structured Matrix Multiplication

Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...
Visual Studio Magazine

Matrix Inverse Using Newton Iteration with C#

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 ...