Real-time decoding question-and-answer speech dialogue with human brain activity

From Facebook Reality Labs:

> Today in Nature Communications, Chang and David Moses, a postdoctoral scholar in Chang’s lab at UCSF, published the results of a study demonstrating that brain activity recorded while people speak could be used to almost instantly decode what they were saying into text on a computer screen. While previous decoding work has been done offline, the key contribution in this paper is that the UCSF team was able to decode a small set of full, spoken words and phrases from brain activity in real time — a first in the field of BCI research. The researchers emphasize that their algorithm is so far only capable of recognizing a small set of words and phrases, but ongoing work aims to translate much larger vocabularies with dramatically lower error rate

https://tech.fb.com/imagining-a-new-interface-hands-free-com...