Storage devices with neural network accelerators for automotive predictive maintenance

This invention describes a data storage device designed for use in a vehicle. It works by taking in a continuous stream of information from the vehicle's sensors and storing it. Crucially, the device has a special built-in component, a neural network accelerator, which processes this stored sensor data using complex calculations, specifically matrix operations, to predict when the vehicle will need maintenance.

Why it matters: Since 2019, the efficiency and integration of dedicated neural network accelerators for edge computing have significantly advanced, making it more practical to embed powerful AI processing directly into vehicle components like storage devices. This enables more robust, real-time predictive maintenance without constant reliance on cloud connectivity.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedCustom silicon, embedded system, software logic

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