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Patent drawing for Machine learning for home understanding and notification
US 11,755,924 B2
Machine learning US 11,755,924 B2 Not in force

Machine learning for home understanding and notification

This system helps a home understand what's happening inside it. It collects information from smart devices, then builds a map of who and what is where, and what they usually do. From this map, it learns patterns and creates rules. When a pattern matches a rule, like "someone is always home at 5 PM," it sends a notification. Users can then tell the system in plain language if the rule was good or bad, helping it learn better. The claims focus on a home monitoring system that uses a knowledge graph to generate these rules.

Why it matters: Filed before advanced LLMs were common. The natural language feedback and rule generation, complex in 2019, are now much simpler to implement.

Status
Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build
SpecializedMachine learning, graph database, software integration

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