Machine learning for computing enabled systems and/or devices

This invention describes a computer system designed to learn how to operate a device by observing its surroundings. It takes digital pictures of the device's environment and receives instructions on how to use the device. The system then learns to associate specific visual cues from the pictures with the correct operating instructions, so it can later determine instructions for new situations based on new pictures.

Why it matters: Filed before the widespread availability and capability of large multimodal models. These models can now more effectively generate context-aware instruction sets from visual input, making the 'generating' and 'learning correlations' aspects more feasible and powerful.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, machine learning models

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