That’s because a new framework is improving the probabilistic reasoning of LLMS like ChatGPT and Gemini. School of ...

Abstract: In this paper, the data of CPI, money supply and total social retail goods from December 2019 to September 2020 are taken as samples, and the multivariate linear regression method is used to ...

In microbiome studies, addressing the unique characteristics of sequence data—such as compositionality, zero inflation, overdispersion, high dimensionality, and non-normality—is crucial for accurate ...

Atlas, the humanoid robot famous for its parkour and dance routines, has recently begun demonstrating something altogether more subtle but also a lot more significant: It has learned to both walk and ...

AI research lab Anthropic’s AI models are now the top choice for enterprises, surpassing OpenAI. Anthropic now holds 32% of the enterprise large language model market share by usage, according to a ...

Background— Although several lines of evidence point to an atherogenic role of central fat mass (CFM), few data are available to address the specific role played by peripheral fat mass (PFM). Methods ...

In environmental and nutritional epidemiology and in many other fields, there is increasing interest in estimating the effect of simultaneous exposure to several agents (e.g., multiple nutrients, ...

Researchers find large language models process diverse types of data, like different languages, audio inputs, images, etc., similarly to how humans reason about complex problems. Like humans, LLMs ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

In this paper,we consider the estimation of both the parameters and the nonparametric link function in partially linear single-index models for longitudinal data that may be unbalanced. In particular, ...