MIT researchers have created a headset device that reads subvocalization by measuring neuromuscular signals and responds to what the users are saying in their heads. The bulky white gadget picks up signals by using electrodes when users verbalize internally and also utilizes the vibrations of your inner ear bones to distinguish words.
The signals are processed by a computer that uses neural networks so users can spout commands to navigate apps, ask the time, and learn optimal countermoves in a game of chess, for example — all while communicating in utter silence. “The motivation for this was to build an IA device — an intelligence-augmentation device,” said MIT grad student and lead author Arnav Kapur in a statement. “Our idea was: Could we have a computing platform that’s more internal, that melds human and machine in some ways and that feels like an internal extension of our own cognition?”
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In related news, MIT recently published a list of 10 breakthrough technologies for 2018.