Sixuan Li’s Research on Causally Grounded AI Agents Advances Reliable Decision Support for Dynamic Logistics Systems

A study on high-concurrency payment systems proposes a distributed architecture with layered consistency control to ...

How RecursiveMAS speeds up multi-agent inference by 2.4x and reduces token usage by 75%

UIUC and Stanford's RecursiveMAS lets AI agents collaborate in embedding space instead of text, cutting token usage by 75% ...

A new way to read the universe could sharpen understanding of cosmic expansion and dark energy

An international team led by researchers at the Institute of Cosmos Sciences of the University of Barcelona (ICCUB) has developed a new method that could significantly improve our understanding of the ...

World's First: AutoStatSpectra, Software That Automates Spectral Analysis with Bayesian Statistics, Launches a 7-Day Free Trial -- a.s.ist Inc.

IR, and NMR. From automatic determination of peak count and peak shape to background and noise estimation, AutoStatSpectra enables analysis with less dependence on individual analyst experience.
IEEE

A Bayesian Inference-Based Method for Uncertainty Analysis in Raman Spectroscopy

Abstract: Raman spectroscopy is an important analytical technique with advantages in non-destructive and rapid analysis, and it is widely used in fields such as chemical analysis, materials science, ...
Scientific Research Publishing

Bayesian Inference Method for Stable Distributions ()

Stable distributions are well-known for their desirable properties and can effectively fit data with heavy tail. However, due to the lack of an explicit probability density function and finite second ...
IEEE

A Variational Bayesian Inference Theory of Elasticity and Its Mixed Probabilistic Finite Element Method for Inverse Deformation Solutions in Any Dimension

Abstract: In this work, we have developed a variational Bayesian inference theory of elasticity, which is accomplished by using a mixed Variational Bayesian inference Finite Element Method (VBI-FEM) ...