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.

Tom Fenton explains how local AI fits into the broader private AI discussion for VMware environments, distinguishing enterprise-scale private AI deployments from smaller local AI setups running on ...

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...

Amazon Alexa on-device AI now runs in millions of Echo homes, but Panos Panay’s July 2026 CNBC interview reveals the split: ...

Meta’s new smart glasses will ship with Muse Spark, a compact AI model the company describes as purpose-built for wearable ...

Retrieval-augmented generation enhances the performance of AI agents by expanding their recall. It can do this in three ...

It is important to clarify: we do not use VLMs to drive the robot. Using a heavy cloud model to steer in real time would ...

Google's upcoming Android Halo feature is the missing piece of Android's AI push, but what we know raises more questions than ...

China’s Meituan open-sources massive LongCat-2.0 AI model, saying it was trained on domestic chips - SiliconANGLE ...

FORT COLLINS, Colo., July 2, 2026 /PRNewswire/ -- Intersignal, an independent artificial intelligence research and systems engineering initiative, today announced the release of Braid Pathfinder v0.5, ...

Intersignal, an independent artificial intelligence research lab, today announced the public release of Braid v0.1 (Turnkey Local Node). This lightweight desktop application establishes an independent ...

Smaller doesn't mean lesser ...