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Explore ModelCat's revolutionary AI-in-the-Loop approach that fully automates machine learning model development for edge and embedded systems in this 59-minute conference talk. Discover how this innovative methodology transforms the traditionally labor-intensive process of building, training, testing, and deploying custom ML models from months or years down to just days. Learn about the technical challenges currently holding back the AI industry from realizing its full potential on edge devices and understand how automated model generation addresses these bottlenecks. Examine the end-to-end automation process that takes projects from raw data to deployed device-ready models, generating highly optimized solutions compatible with a wide range of chips and hardware platforms. Gain insights into how this approach redefines AI democratization by making advanced model development accessible without extensive manual intervention, potentially accelerating innovation across industries relying on edge AI applications.
