Intelligent automated assistant for TV user interactions

An electronic device listens to a user's speech commands, understands what they want, and finds relevant media content. This content is then shown on a separate display screen, which the system specifically picks by identifying the display closest to where the command was spoken.

Why it matters: The system relies heavily on determining user intent and relevant media content from speech and context. Since 2023, large language models have dramatically improved the accuracy and flexibility of natural language understanding, making these core software components much more robust and adaptable.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedHeavy software system, natural language processing, distance sensing.

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