Bristol scientists achieve 83% Braille decoding using organoids and sensor
Scientists at the University of Bristol just pulled off something pretty wild. A computer classified neural responses corresponding to Braille letters with 83% accuracy when signals from three organoids were combined.
By linking these mini-brains to a tactile sensor that captured Braille patterns, they showed how biological and electronic systems can actually work together.
The study dropped in Frontiers in Artificial Intelligence this October.
Each organoid contained about 10,000 neurons
Each organoid had about 10,000 neurons and was hooked up to a sensor that turned Braille patterns into signals the mini-brains could process.
Using three organoids boosted accuracy from 61% to 83%.
This experiment could eventually lead to more biohybrid computing applications, opening up new ways for biological and electronic systems to work together.
It's a big step toward blending biology and AI for real-world impact.