#biotechnology #future #computer #neuroscience #organoid
Could future computers run on human brain cells?
Johns Hopkins researchers tout the promise of 'organoid intelligence,' which could one-day yield computers that are faster, more efficient, and more powerful than silicon-based computing and AI.
Prof. Thomas Hartung is a professor of environmental health sciences at the Johns Hopkins Bloomberg School of Public Health and Whiting School of Engineering.
For nearly two decades scientists have used tiny organoids, lab-grown tissue resembling fully grown organs, to experiment on kidneys, lungs, and other organs without resorting to human or animal testing. More recently Hartung and colleagues at Johns Hopkins have been working with brain organoids, orbs the size of a pen dot with neurons and other features that promise to sustain basic functions like learning and remembering.

Prof.Hartung began to grow and assemble brain cells into functional organoids in 2012 using cells from human skin samples reprogrammed into an embryonic stem cell-like state. Each organoid contains about 50,000 cells, about the size of a fruit fly's nervous system. He now envisions building a futuristic computer with such brain organoids.

Computers that run on this "biological hardware" could in the next decade begin to alleviate energy-consumption demands of supercomputing that are becoming increasingly unsustainable, by scaling up the production of brain organoids and training them with artificial intelligence, he foresees a future where biocomputers support superior computing speed, processing power, data efficiency, and storage capabilities.
Organoid intelligence could also revolutionize drug testing research for neurodevelopmental disorders and neurodegeneration.

https://www.linkedin.com/in/thomas-hartung-27a36516https://publichealth.jhu.edu/faculty/2308/thomas-hartunghttps://twitter.com/ToxmasHartung

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