Join Iri Trashanski, Chief Strategy Officer of Ceva, as we explore how intelligence is shifting into a distributed fabric where devices connect, sense, and infer in concert with the cloud. From phones and PCs to earbuds, cars, and medical wearables, we break down why latency, privacy, cost, and power are driving a new architecture—and how agentic AI coordinates models across endpoints to deliver seamless outcomes. We unpack the connect, sense, infer framework as a practical blueprint for product teams. On connectivity, we compare Bluetooth, Wi‑Fi, 5G, Thread, Matter, UWB, and Zigbee, and explain how each fits different throughput, power, and range needs. On sensing, we look at audio, vision, and motion pipelines, plus sensor fusion running on AI‑tuned DSPs. On inference, we show how NPUs and AI DSPs scale from tiny wearables to automotive ADAS and why monetization increasingly happens at inference, not training. Along the way, we trace real evolutions: headsets moving from simple streaming to AI noise reduction and biometrics, vehicles layering ADAS on top of connectivity, and low‑cost glucose monitors gaining always‑on analysis. To make this tangible, we walk through a real‑time translation chain that spans earbuds, a phone, and the cloud. The earbud enhances and detects wake words, the phone runs ASR and translation for low latency, and the cloud summarizes meetings for long‑form insights. The result is faster response, stronger privacy, and lower OPEX, with heavy compute where it belongs and lightweight models at the edge. If you’re building for the next wave—physical AI across billions of devices—this conversation offers a clear roadmap and concrete choices you can act on today. If you enjoyed this, follow the show, share it with a teammate who builds edge products, and leave a quick review to help others find us. Send us Fan Mail Support the show Learn more about the EDGE AI FOUNDATION - edgeaifoundation.org
