Lab-grown brains can now read Braille and guide robot dogs
Guided by millions of years of evolution, our own brain cells know a thing or two about moving through a chaotic world where learning the right move is a matter of life and death.
Biohybrid computing is an emerging field of technology that combines living neural tissue with conventional electronics and software. Rather than simply imitating the brain with silicon chips, the approach uses actual neurons to perform computational work.
The potential is considerable. Biological neural networks can adapt quickly, processing information in parallel using little energy. Harnessing these capabilities could eventually help computers and robots learn from experience without the enormous computational resources demanded by other computational systems.
But turning living cells into reliable computational components remains a serious engineering challenge.
In a study published this month in Frontiers in Artificial Intelligence, researchers at the University of Bristol investigated whether tiny, lab-grown models of the human forebrain known...
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