Deep learning could predict car trouble before you notice it

But rather than consumer vehicles, the focus seems to be on applications for autonomous taxis. The idea is that before a problem happens, the operator will know as soon as there's an aberration in the car's normal operating sounds. "When trained, the 3DSignals deep learning algorithms are able to identify [and] predict specific problems in advance with 98 percent accuracy," IEEE Spectrum reports. The tech is already in place in industrial applications, but 3DSignals' clients have to do some of the heavy lifting in terms of training the detection algorithms. People are still manually labeling specific sound signatures that indicate problems, so it might be a bit before we see widespread adoption of the system.