'While silicon-based computers are certainly better with numbers, brains are better at learning.'
A team of scientists has grown "minibrains" in a lab, with the eventual goal of linking them together to form super-efficient "biocomputers.", a team of researchers laid out a roadmap to achieve that goal, a new multidisciplinary field they're calling "organoid intelligence," or OI for short.
"While silicon-based computers are certainly better with numbers, brains are better at learning," said John Hartung, corresponding author and professor of microbiology at John Hopkins University, in a"For example, AlphaGo [the AI that beat the world’s number one Go player in 2017] was trained on data from 160,000 games," he added. "A person would have to play five hours a day for more than 175 years to experience these many games.
But before we can build superbrains out of tiny organoids that can efficiently complete complex tasks, scientists still have a lot of work to do.
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