Annette Usken

Meta researchers used AI to predict the text a person was typing just from non-invasive brain recording! With EEG, their "Brain2Qwerty" model gets 67% of the characters wrong, but magnetoencephalography (MEG) shows much better performance, instead only getting 32% of the characters wrong on average. "For the best participants, the model achieves a CER of 19%, and can perfectly decode a variety of sentences outside of the training set. "

While this sounds about right from my experience, one factor we're not taking into consideration is how little time doctors and nurses have these days to spend with each patient. And even that more than half of that time is spent on paperwork and repetitive routine which should be automated in order to maximize the amount of human touch and empathy caregivers can provide in person.

Companies- Why can’t we find anyone to hire? Their interview process-

I am very very honored and proud that Be My Eyes is among the winners of the Helen Keller Award