In a bid to become less reliant on Google, I swapped the popular search engine for an AI alternative, Perplexity. Here's what ...

Those changes will be contested, in math as in other academic disciplines wrestling with AI’s impact. As AI models become a ...

The data engineer started as a casual reader of the Jeffrey Epstein files. Then he became obsessed, and built the most ...

Abstract: Similarity search, which calculates proximity between high-dimensional vectors, is extensively used in modern data-driven applications, including Large-Language-Models (LLMs). A mainstream ...

Arrowhead is a cross-platform CLI and daemon that keeps your Obsidian vault indexed around the clock. It combines fast full-text search, semantic vectors, graph analytics, and a Claude-ready MCP ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Ever Googled yourself and wished for that polished informational box to pop up on the results page? That’s a Google Knowledge Panel. More than just a helpful box on the search engine results page ...

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...