Tuning layers of a modular neural network

A vehicle device uses artificial intelligence to monitor a user inside the vehicle. It segments a complex neural network into smaller, modular parts based on metadata about the user or vehicle. This allows specific layers of the network, such as those detecting faces, hands, or head pose, to be independently adjusted for better performance.

Why it matters: Since its 2021 filing, advances in AI frameworks and edge computing hardware have significantly improved the feasibility and efficiency of deploying and managing complex, modular neural networks in real-time vehicle environments. This makes the independent tuning of specific AI layers more practical and performant.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedComplex software, AI model training, vehicle integration.

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