Introduction We sought to evaluate preliminary efficacy and implementation outcomes of an e-cigarette and tobacco cessation intervention for hospitalised youth in the USA. Methods We conducted a pilot ...
Uncover the definition of fuzzy logic, which is a computational approach that interprets uncertain data, and learn more about ...
Your AI agent is smart but forgetful. Every new session starts from zero — no memory of who you met, what you read, what you decided last Tuesday. GBrain is an open-source fix for that. Built by Garry ...
In this tutorial, we build and run an advanced pipeline for Netflix’s VOID model. We set up the environment, install all required dependencies, clone the repository ...
Abstract: This paper presents a detailed guided on applying fuzzification techniques to enhance the performance of phase-locked loops (PLLs). PLLs are widely used in high-frequency applications where ...
The Bayesian approach to statistical inference and other data analysis tasks gets its name from Bayes’s theorem (BT). BT specifies that a posterior probability for a hypothesis concerning a data ...
Abstract: The Tsetlin machine is a new universal artificial intelligence (AI) method that learns simple logical rules to understand complex things, similar to how an infant uses logic to learn about ...
KTransformers, pronounced as Quick Transformers, is designed to enhance your 🤗 Transformers experience with advanced kernel optimizations and placement/parallelism strategies. KTransformers is a ...
Causal inference has been increasingly essential in modern observational studies with rich covariate information. However, it is often challenging to estimate the causal effect with high-dimensional ...
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