High-performance matrix multiplication remains a cornerstone of numerical computing, underpinning a wide array of applications from scientific simulations to machine learning.

New architectures and manufacturing methods draw investors; 75 startups raise $1.9 billion.

This important study introduces a Bayesian method to determine bacterial counts that accounts for the experimental noise inherent to dilution and plating methods, and distinguishes it from biological ...

To address these challenges, this paper proposes a matrix-driven adaptive dual-space evolutionary optimization algorithm, referred to as MaKAM. The MaKAM algorithm aims to compute the similarity ...