Tom Fenton moves from local AI concepts to hands-on tools for matching LLMs to hardware, running local chatbots with Ollama and benchmarking AI performance.

Ollama made local AI feel less like a developer experiment and more like something I could actually use on my PC.

Some of Android 17's best new features aren't user-facing, but quietly enhance your smartphone's performance and malware resilience.

When a single broken wire darkens five provinces, the problem isn't the weather, it's an outdated, centralized grid ...

Setting up a Raspberry Pi for a DIY project can be daunting, especially if it requires soldering. These easier projects ...

The Council for the Indian School Certificate Examinations (CISCE) has released the ISC Computer Science (Subject Code - 868) for the Year 2027 evaluation cycle. It is designed specifically to make ...

The U.S Supreme Court is seen on June 25, 2026 in Washington, DC. The Supreme Court ruled 6-3 in Mullin v. Doe, clearing the way for the Trump Administra ...

Lancaster City Housing Authority will accept applications for its public housing waitlist for two days next week. The public housing units in Lancaster city are “safe, well-maintained and affordable” ...

LLVM powers the core development tools, operating systems, and most applications at Apple Computer, where it long ago ...

New York City's first heat wave of the season is officially here, with triple-digit temperatures and high humidity. Not only ...

I ran Google's Gemma AI locally on a cheap mini PC, and it handled more of my everyday ChatGPT tasks than I expected.