Facebook funds AI mind-reading experiment

"Most previous approaches have focused on decoding speech alone," Prof Eddie Chang said, "But here we show the value of decoding both sides of a conversation - both the questions someone hears and what they say in response." "This reinforces our intuition that speech is not something that occurs in a vacuum and that any attempt to decode what patients with speech impairments are trying to say will be improved by taking into account the full context in which they are trying to communicate." "Currently, patients with speech loss due to paralysis are limited to spelling words out very slowly using residual eye movements or muscle twitches to control a computer interface." Researcher David Moses said: "It's important to keep in mind that we achieved this using a very limited vocabulary - but in future studies we hope to increase the flexibility as well as the accuracy of what we can translate from brain activity." UCSF. "Ultimately, the researchers hope to reach a real-time decoding speed of 100 words per minute with a 1,000-word vocabulary and word error rate of less than 17%," Facebook wrote on its blog.

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