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A guide to secure OTA update design for embedded and AI devices, including signatures, staged rollout, rollback rules, and field-safe delivery.
A technical article on real-time edge video AI, including inference cadence, backpressure, power budgets, and reliability decisions that matter in the field.
A practical guide to embedded AI systems covering model footprint, timing, watchdogs, update paths, and the engineering choices that keep device behavior reliable.
A buyer-oriented guide to private AI on mobile and edge devices, covering on-device inference, data minimization, model updates, and practical safeguards.
