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This invention describes a system that automatically fixes problems in large computer networks. It constantly checks error messages from all the computers. When an error pops up, it feeds the details to an artificial intelligence model, which then suggests possible solutions and how confident it is about each. The system then figures out the exact steps needed to fix the problem and, if approved, automatically runs those steps on the faulty computer.
Why it matters: Filed before the widespread adoption of advanced AI/ML models. The ability to train and deploy sophisticated machine learning for automated reasoning and code generation has vastly improved since 2017, making the core ML component more feasible and powerful.
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