Abstract: This study focuses on time-space sampled-data control for Takagi-Sugeno (T-S) fuzzy reaction-diffusion neural networks (NNs) under random sampling and network-induced delays. Fuzzy ...
Objective This study aimed to assess the prevalence of eye care service utilisation and associated factors among healthcare professionals in Gondar city, northwest Ethiopia. Design An ...
Abstract: In recent years, sparse subspace tracking has attracted increasing attention in the signal processing community. In this paper, we propose a new provable effective method called OPIT (which ...
Language models often repeat themselves and fall back on stereotypical answers after training. Verbalized Sampling is a simple prompt technique designed to make AI responses less repetitive.
One of the coolest things about generative AI models — both large language models (LLMs) and diffusion-based image generators — is that they are "non-deterministic." That is, despite their reputation ...
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