The following information was released by the Federation of American Scientists:. Text by Y. Tony Yang. A wheelchair user with complex care needs submits a prior-authorization request that her ...

Learning in dynamic and stochastic environments is notoriously difficult. Neuromodulatory systems may shape this process, thereby constraining where learning-related neu ...

This valuable study uses naturalistic movie-viewing fMRI and stacked encoding models to investigate sensory feature representations in autistic and non-autistic youth, showing a relative shift toward ...

Abstract: Bayesian networks (BNs) have proven to be an effective model for representing and inferring uncertain knowledge in the field of equipment fault diagnosis. However, as the scale of BNs ...

Bayesian inference relies on the computation of posterior distributions to update beliefs about model parameters in the light of observed data. Markov Chain Monte Carlo (MCMC) methods form a flexible ...

The course is structured in four main parts, covering the full Bayesian workflow: from probabilistic reasoning to advanced modeling. BAYESIANLEARNING/ │ ├── PART-I/ │ ├── theory/ │ │ └── ...

If it feels like social platforms suddenly “get” you more than they used to, you’re not imagining it! In 2026, feeds aren’t only reacting to what you click anymore. They’re predicting what you ...

Leptin, primarily secreted by adipose tissue, is a critical hormone involved in regulating energy balance and food intake by inducing satiety. Although several hormones influence satiety, leptin plays ...