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Deep Learning AI Listens to Machines For Signs of Trouble

#artificialintelligence

The service of 3DSignals, a startup based in Kefar Sava, Israel, relies on the artificial intelligence technique known as deep learning to understand the noise patterns of troubled machines and predict problems in advance. The startup has even chatted with companies about using their service to automatically detect problems in future taxi fleets of driverless cars. The deep learning algorithms train on sound patterns that can signal general problems with the machines. Before this can happen, though, the clients need to help train the deep learning algorithm by first labeling certain sound patterns as belonging to specific types of problems.


Deep Learning AI Listens to Machines For Signs of Trouble

IEEE Spectrum Robotics Channel

The service of 3DSignals, a startup based in Kefar Sava, Israel, relies on the artificial intelligence technique known as deep learning to understand the noise patterns of troubled machines and predict problems in advance. The deep learning algorithms train on sound patterns that can signal general problems with the machines. On top of all this, 3DSignals has the chance to pioneer the advancement of deep learning in listening to general sounds. "It's important for us to be specialists in general acoustic deep learning, because the research literature does not cover it," Lavi says.