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3D Printing Improves Cochlear Implants for Users

A team of engineers and clinicians have used 3D printing to create intricate replicas of human cochleae and combined it with machine learning to advance clinical predictions of ‘current spread’ inside the ear for cochlear implant (CI) patients. ‘Current spread’ or electrical stimulus spread, as it is also known, affects CI performance and leads to 'blurred' hearing for users, but no adequate testing models have existed for replicating the problem in human cochleae – until now.

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AI Networks Prefer Human Voice

A new study from Mechanical Engineering Professor Hod Lipson and his PhD student Boyuan Chen proves that artificial intelligence (AI) systems might actually reach higher levels of performance if they are programmed with sound files of human language rather than with numerical data labels.

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