Abstract: This study proposes a Dynamic Bayesian Network (DBN)-based model for evaluating the reliability of optical networks, effectively quantifying the state changes and reliability of optical ...

If you or your kids have spent too much time scrolling short-form videos during your holiday breaks, don't fret—you probably haven't suffered too much brain damage. Wait, was that even a question? the ...

This paper presents a valuable software package, named "Virtual Brain Inference" (VBI), that enables faster and more efficient inference of parameters in dynamical system models of whole-brain ...

Summary: Researchers have developed an AI-driven brain model that can track fear as it unfolds in real-world situations, offering a major shift from traditional lab-based approaches. Classic fear ...

The race to release world models is on as AI image and video generation company Runway joins an increasing number of startups and Big Tech companies by launching its first one. Dubbed GWM-1, the model ...

Katelyn is a writer with CNET covering artificial intelligence, including chatbots, image and video generators. Her work explores how new AI technology is infiltrating our lives, shaping the content ...

Version of Record: This is the final version of the article. This work proposes a new approach to analyse cell-count data from multiple brain regions. Collecting such data can be expensive and ...

Objective: Based on the Bayesian network, this study investigates the impact pathways of multidimensional factors related to the living environment—specifically housing factors, exposure to daily ...

This project implements a comprehensive Fuzzy Bayesian Network (FBN) system that combines fuzzy logic with probabilistic reasoning for advanced cybersecurity risk assessment. The system handles ...