This innovative 3D model from MIT decouples fetal shape and motion, enhancing MRI analysis and offering critical insights for prenatal health assessments.

Language models seem to be more than stochastic parrots. Does this knowledge stop them from making mistakes, or do they need ...

Stochastic dynamical systems arise in many scientific fields, such as asset prices in financial markets, neural activity in ...

Due to the electrification megatrend, estimating battery model parameters using impedance data is of great interest, since typically battery model parameters are estimated using time domain data, and ...

A new ranking methodology places Barry Bonds over Babe Ruth as the game’s best player ever. Statisticians, at least, are cheering. By Alexander Nazaryan Every sport has its arguments over which player ...

Congratulations on a great paper! I have a question about the linear transformation for UltraFeedback. It's unclear how you transformed the data from 1-10 to 0-1. To obtain the scores back in the ...

ABSTRACT: This paper proposes a universal framework for constructing bivariate stochastic processes, going beyond the limitations of copulas and offering a potentially simpler alternative. The ...

Abstract: Conventional data-driven dynamic process monitoring methods usually rely on data collected at a single sampling rate. The effectiveness of these approaches typically diminishes when ...

The mathematics behind artificial intelligence (AI) and machine learning (ML) rely on linear algebra, calculus, probability, and statistics. These provide the foundation for developing the needed ...

SiC-based converters and inverters are the optimal choice for battery-operated vehicles (BEVs), renewables, and all other applications where maximum efficiency is required. Silicon Carbide (SiC) ...