Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and ...

Just as people from different countries speak different languages, AI models also create various internal "languages"—a ...

HONG KONG, June 13, 2025 /PRNewswire/ -- On June 12, GAC made a strong appearance at the 2025 International Automotive & Supply Chain Expo (Hong Kong), showcasing eight flagship models across its ...

Monte Carlo methods: Computational algorithms that utilise repeated random sampling to obtain numerical results, often used for integration, optimisation, and simulation of complex systems.

Sparse matrix multiplication is widely used in various practical applications. Different accelerators have been proposed to speed up sparse matrix-dense vector multiplication (SpMV), sparse ...

Distributed computations, such as distributed matrix multiplication, can be vulnerable to significant security issues, notably Byzantine attacks. These attacks may target either worker nodes or ...

Matrix multiplication is an important topic of linear algebra and is something that is not intuitive as you might think. When you think about multiplication and matrix, the thing that comes to your ...

Insights from data and machine learning algorithms can be invaluable, but be warned — mistakes can be irreversible. These recent high-profile AI blunders illustrate the damage done when things ...