Vector Search on Modest Machines: Practical Indexes, Memory Math, and Updates That Don’t Stall
You don’t need a data center for great semantic search. Build a compact, fast, and updatable vector engine that fits on laptops and phones.
Tiny Models That Do Real Work on Microcontrollers: Design, Memory, and Updates
A practical guide to shipping ML on low‑power microcontrollers: problem selection, model choices, memory maps, power, accuracy, and safe OTA.
WebGPU ML in the Browser: How to Ship Fast, Private Models Without Native Apps
WebGPU turns the browser into a real ML engine. Learn how to choose models, hit real‑time speed, and ship private AI features that work on day one.
Shipping AI to the Edge Without Drama: A Practical Guide to Models, OTAs, and Safe Rollouts
A hands-on guide to packaging, updating, and monitoring AI models on devices—without spying on users or breaking your fleet.