Ue autonomous actions based on ml model failure detection

This invention describes how a mobile device, like a smartphone, can monitor its own built-in artificial intelligence (AI) models. If the device detects that an AI model isn't performing correctly, it can automatically take steps to fix the problem without needing to be told what to do by the cellular network. The network can, however, provide initial settings for how the device should monitor and resolve these issues.

Why it matters: Since 2023, the deployment of complex machine learning models directly on user devices has significantly expanded, making their reliable operation more critical. This invention's focus on autonomous, on-device failure detection and resolution for these models could now be more valuable for maintaining performance and reducing network overhead.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, ML model integration, network configuration

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