A team from the University of California, Davis, has announced a breakthrough brain-computer-interface (BCI) capable of translating brain signals into readable text with an extremely high level of accuracy. 

The findings, published on August 14 in the New England Journal of Medicine, detail the breakthrough technology which can predict the user's desired words with a less than 3 percent error rate. Researchers reviewing the findings claim the communication tech's error rate is on par with that of a non-disabled speaker reading a paragraph out loud.

The research is being done on a man named Casey Harrell, a 45-year-old who was stricken with amyotrophic lateral sclerosis (ALS), also known as Lou Gehrig's Disease. The disease rendered him unable to effectively communicate with his family, friends, and others around him. 

Within one month of a procedure to implant new microelectrode arrays in his brain, Harrell's ability to communicate clearly and at will with his family were restored with amazing accuracy.