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: Power flow analysis is a cornerstone of power system planning and operation, involving the solution of nonlinear equations to determine the steady-state operating conditions of the power ...

Frida Kahlo painted herself more than anyone else, not because she was vain, as she once quipped, but because she was “the subject I know best.” The line is often repeated, yet it barely captures the ...

Growing up, I remember my mother being utterly taken in by the kitchen of the early nineties. It was her private theatre of experimentation, stocked with everything she learnt at the famous Mrs Babbar ...

AgentRun is a Python library that makes it easy to run Python code safely from large language models (LLMs) with a single line of code. Built on top of the Docker Python SDK and RestrictedPython, it ...

A new VS Code extension called Nogic visualizes codebases as interactive graphs and drew strong interest on Hacker News. Commenters praised the concept for understanding large or unfamiliar codebases, ...

Visual images have always been a prevalent means of thinking and communicating in science. Images also dominate science teaching: science textbooks, digital educational material, websites, etc., use ...

With countless applications and a combination of approachability and power, Python is one of the most popular programming languages for beginners and experts alike. We’ve compiled a list of 10 online ...