The US Army is using machine learning to predict when combat vehicles need repair

A soldier walks into the back of a Bradley Fighting Vehicle during training in Fort Riley, Kansas.

Keeping track of the mechanical health of millions of pieces of equipment is a big job for the Army. To help with this data-intensive work, it's recruiting an AI assistant. Machine learning software developed by Chicago firm Uptake Technologies will be used to predict when vehicles will need repair, flagging problems to army mechanics before they become disastrous.

The pilot scheme will cover a few dozen armored infantry transports (Bradley M2A3s) deployed in active service. Sensors inside the vehicles' engines record information like temperature and RPM, and transmit this to Uptake's software. This uses machine learning to look for patterns in the data that match known engine failures in similar vehicles.

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