The study suggests that physically informed AI can do more than interpolate missing data; it can help connect satellite generations into a more coherent long-term observing system. The authors note ...
In early 2026, Mitolyn reviews have moved far beyond curiosity and into serious comparison as new mitochondrial ...
The use of generative AI enables a novel computational approach to localize individual trees in all cities, despite their ...
Deep learning has tremendous applications for generative AI and the Society. After briefly introduction on its applications to various societal problems, the focus will be on generative AI. Neural ...
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Bayesian statistics remain popular for addressing inverse problems, whereby quantities of interest are determined from their noisy and indirect observations. Bayes’ theorem forms the foundation of ...
Fragmentation of young massive clusters in binary components: an application of Griddy Gibbs Sampler
The study of the process of hierarchical fragmentation of molecular clouds within Young Massive Clusters required modeling the Initial Mass Function by considering both binary and single-star ...
Abstract: In this letter we suggest two statistical hypothesis tests for the regression function of binary classification based on conditional kernel mean embeddings. The regression function is a ...
Abstract: The Vlasov-Maxwell equations describe the coupled evolution of collisionless plasma particle distribution function (PDF) and the electromagnetic field. The system is exceedingly multiscale ...
This important study of artificial selection in microbial communities shows that the possibility of selecting a desired fraction of slow and fast-growing types is impacted by their initial fractions.
Point process provides a mathematical framework for characterizing neuronal spiking activities. Classical point process methods often focus on the conditional intensity function, which describes the ...
What Is A Probability Density Function? A probability density function, also known as a bell curve, is a fundamental statistics concept, that describes the likelihood of a continuous random variable ...
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