This desktop app for hosting and running LLMs locally is rough in a few spots, but still useful right out of the box.

Python libraries handle real business tasks like APIs, data analysis, and machine learning at scaleUsing ready-made libraries ...

JIT compiler stack up against PyPy? We ran side-by-side benchmarks to find out, and the answers may surprise you.

Clinical trials are facing new and evolving challenges as costs increase and approval timelines remain lengthy. Modernisation of processes and utilisation of novel technologies can help overcome such ...

Your trading bot crashes at 3 AM because the forex feed went silent. Real-time currency data really shouldn't mean spe ...

This case study examines how vulnerabilities in AI frameworks and orchestration layers can introduce supply chain risk. Using ...

Oh, sure, I can “code.” That is, I can flail my way through a block of (relatively simple) pseudocode and follow the flow. I ...

See 10 good vs bad ChatGPT prompts for 2026, with examples showing how context, roles, constraints, and format produce useful answers.

Google shared how its Gemini AI can help users plan budgets, track spending, and identify savings using simple prompts.

Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.

Pull fresh Unsplash wallpapers and rotate them on GNOME automatically with a Python script plus a systemd service and timer.