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

Before analyzing a dataset, the first step is acquiring the data. While platforms like Kaggle and data.gov provide a wealth of datasets, one of the most popular platforms for local government data is ...

Standard RAG pipelines treat documents as flat strings of text. They use "fixed-size chunking" (cutting a document every 500 ...

In the exercise code, navigate to resources/js/dc-config.js. This is loaded in the head of the exercise/index.html head. Set the clientId variable the Client ID you ...

Security researchers uncovered two vulnerabilities in the popular Python-based AI app building tool that could allow attackers to extract credentials and files — and gain a lateral edge.

Gemini 3 Pro in Google Search AI Mode enables deeper, more conversational searches. Try eight prompts for travel, learning, ...

Learn coding in Python, Go and Rust from Serdar Yegulalp, software dev specialist and senior writer at InfoWorld. You might be familiar with how Python and C can work together, by way of projects like ...

Solidworks and Inventor receive a lot of attention, and so we tend to forget the surprising number of other MCAD programs that exist. They are not fly-by-nighters – many have been around for more than ...

I had no idea how many powerful tools in ChatGPT are effectively hiding in plain sight until I started digging into its ...

After 15 years of 'Here's what I found on the web,' Siri is finally ready to have a conversation. Apple is reportedly ...