In today’s episode of the brain-in-a-jar show, scientists have built brain analog organoids consisting of about 10,000 neurons that can classify braille letters with about 61 percent accuracy, while teams of three organoids reached 83 percent accuracy.



So all they established is that the organoids respond in distinct ways to distinct signals out of the box?
Yup, this is basically an experiment in neural net classification, using actual neurons (instead of just math that simulates neurons)
Yes but that’s step one. If it’s repeatable, that’s useful.