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MIT researchers have developed a neural-network model that can analyze raw text and audio data from interviews to discover speech patterns indicative of depression. This method could be used to develop diagnostic aids for clinicians that can detect signs of depression in natural conversation.

New model to naturally detect depression in conversations

In order to help patients to tackle depression, clinicians perform various methods including asking specific questions — about, say, past mental illnesses, lifestyle, and...
neuralnetwork

Scientists developed a neural network that operates on light

A group of scientists at the University of California has recently devised a new type of neural network that operates on light instead of...
TrueNorth: a Computer Chip that Emulates Human Cognition

TrueNorth: a Computer Chip that Emulates Human Cognition

Most of the digital devices work on synchronous circuits. Built-in clocks permit a similar measure of time for the fruition of each computational capacity. In view...

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