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

Flock Safety—the surveillance company behind the country’s largest network of automated license plate readers (ALPRs)—currently faces attacks on multiple fronts seeking to tear down the invasive and ...

When trying to extract a ZIP file, a few users noticed 0x8000FFFF Catastrophic Failure. This vague error typically occurs when the Windows built-in extraction tool ...

Abstract: We present Popper, a dataflow system for building Machine Learning (ML) workflows. A novel aspect of Popper is its built-in support for inflight error ...

Thinking about learning Python? It’s a pretty popular language these days, and for good reason. It’s not super complicated, which is nice if you’re just starting out. We’ve put together a guide that ...

If you’ve ever tried to build a agentic RAG system that actually works well, you know the pain. You feed it some documents, cross your fingers, and hope it doesn’t hallucinate when someone asks it a ...

Working with numbers stored as strings is a common task in Python programming. Whether you’re parsing user input, reading data from a file, or working with APIs, you’ll often need to transform numeric ...

What if you could create your very own personal AI assistant—one that could research, analyze, and even interact with tools—all from scratch? It might sound like a task reserved for seasoned ...

When writing Python programs, errors are inevitable. Whether you’re reading a file, parsing user input, or making network requests, things can (and will) go wrong at runtime. If not handled properly, ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Programming is a key transferable skill within the chemical sciences with applications ...