There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.
In some ways, data and its quality can seem strange to people used to assessing the quality of software. There’s often no observable behaviour to check and little in the way of structure to help you ...
Explore the innovative concept of vibe coding and how it transforms drug discovery through natural language programming.
Claude Sonnet 4.6 beats Opus in agentic tasks, adds 1 million context, and excels in finance and automation, all at one-fifth ...
Pull fresh Unsplash wallpapers and rotate them on GNOME automatically with a Python script plus a systemd service and timer.
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Think of a REST API like a waiter in a restaurant. You (an app) tell the waiter what you want (your request), and the waiter goes to the kitchen (the server) to get it for you. REST is just a set of ...
So many tweets and posts claim that AI agents can turn pocket change into thousands of dollars trading on Polymarket. I built ...
Anthropic research shows developers using AI assistance scored 17% lower on comprehension tests when learning new coding ...
Vladimir Zakharov explains how DataFrames serve as a vital tool for data-oriented programming in the Java ecosystem. By ...
Optical illusion puzzles have been there for centuries and these are fun challenges that are designed to play tricks on our eyes and brains. Optical illusions work on a simple principle where it ...