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From smart cameras that protect privacy by analyzing video on-device, to wearables that interpret voice and motion instantly, to industrial sensors that prevent failures before they happen, edge AI is shaping our everyday routines and transforming our lives.
Eliminating cloud dependency and making connectivity optional is essential for data staying local. Without cloud, our options become severely limited to the constraints of the devices, and efficiency drives innovation. Every millisecond and milliwatt can unlock a new use case — or limit one.
This talk will explore optimization techniques for vision, audio, and language models that allow them to run on tiny, resource-constrained devices, and fine-tune them to the limit of our model’s latency, accuracy, or power efficiency. We will start with an initial rapid simulation, and follow up with silicon-level tuning with real device profiling feedback.
A software lead at NXP Semiconductors leading teams developing tools, runtime libraries, and enabling AI on Edge-class devices. Both professionally and out of human curiosity, Pavel developed software visualizing the World around us. Initially through the lens of a camera, then from... Read More →
