Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Abstract: A self-clocked 12-bit non-binary fully differential SAR-ADC, designed using open-source circuit design tools and the open-source SKY130 PDK, is presented. Including a digital wrapper block ...

A tool for analyzing codebases to understand their token usage and compatibility with various Large Language Models (LLMs). This tool helps developers understand if their code can fit within different ...

When making a Dungeons and Dragons character, few decisions are as important as the class. Furthermore, players must consider what level the campaign is reaching, as any given class is going to ...

The delayed pace at which the Trump administration is releasing files related to the late sex offender Jeffrey Epstein means it could be several years before it meets Congress’s mandate for full ...