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This article focuses on architectural strategies for deploying AI at the edge to meet strict constraints like low latency and power efficiency in robotics and autonomous systems. It outlines a three-layer model inspired by biological nervous systems that distributes intelligence between central reasoning and local reflexive control, moving beyond cloud-centric processing.

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Designing Trustworthy Edge AI: Insights from NXP Hitesh Garg, ETTelecom

GDELTAugust 18, 20264 min read

BENGALURU: As artificial intelligence moves from the cloud into robots, vehicles, drones and industrial systems, trust, latency and power efficiency will become non-negotiable design requirements, according to Hitesh Garg, vice president & India country manager, NXP Semiconductors. Delivering an industry address at the ETElectronicsWorld Design & Verification Summit 2026 in Bengaluru, Garg said the industry is entering an era in which intelligence increasingly needs to operate at the edge, particularly as machines begin interacting directly with the…

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