Enhanced computing performance is achieved using nanomaterial-based probabilistic-bits with high operational stability.

Why are some patients hard to diagnose? Surely you can just run every test - doctors refuse to because they don't want to spend money, right?! Not quite. A millionaire patient asked me; if he was ...

A modified imaging algorithm based on Off-Grid Sparse Bayesian Inference (OGSBI) is proposed. The algorithm employs OGSBI for spectral estimation, integrating sparse extraction and Generalized ...

The framework proposed by the authors integrates uncertainty-aware mechanisms at multiple stages of the LLM lifecycle. It ...

As we mature from childhood, our vocabulary—as well as the ways we use it—grows, and our experiences become richer, allowing ...

A randomized controlled trial shows that lithium treatment in bipolar disorder patients reduces daytime activity, advances ...

In a rapidly evolving digital landscape, machine learning is at the forefront of computational advancements, revolutionizing industries from healthcare to finan ...

Welcome to "Bayesian Modelling in Python" - a tutorial for those interested in learning how to apply bayesian modelling techniques in python (PYMC3). This tutorial doesn't aim to be a bayesian ...

Orbitofrontal cortex and hippocampus reinstate representations of causal choices to associate with delayed outcomes, and the frontal pole supports this credit assignment process by maintaining pending ...

Smoking and depression - Gemma Taylor discusses the effects of smoking cessation treatment options for people with past or ...

Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning ...