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Silicon Flash > Blog > Innovations > Bridging the Gap: Harnessing Human Mini-Brains for Computer Power
Innovations

Bridging the Gap: Harnessing Human Mini-Brains for Computer Power

Published October 17, 2025 By Juwan Chacko
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Bridging the Gap: Harnessing Human Mini-Brains for Computer Power
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In a charming lab in Vevey, Switzerland, a researcher nurtures small clusters of human brain cells with a nourishing fluid to keep them thriving. These miniature brains are crucial as they function as basic computer processors, unlike conventional laptops that can be restarted. This emerging field, known as biocomputing or “wetware,” aims to leverage the refined yet enigmatic computing capabilities of the human brain.

Inside a lab in the picturesque Swiss town of Vevey, a scientist gives tiny clumps of human brain cells the nutrient-rich fluid they need to stay alive.

It is vital these mini-brains remain healthy, because they are serving as rudimentary computer processors—and, unlike your laptop, once they die, they cannot be rebooted.

This new field of research, called biocomputing or “wetware,” aims to harness the evolutionarily honed yet still mysterious computing power of the human brain.

During a tour of Swiss start-up FinalSpark’s lab, co-founder Fred Jordan told AFP he believes that processors using brain cells will one day replace the chips powering the artificial intelligence boom.

The supercomputers behind AI tools like ChatGPT currently use silicon semiconductors to simulate the neurons and networks of the human brain.

“Instead of trying to mimic, let’s use the real thing,” Jordan said.

Among other potential advantages, biocomputing could help address the skyrocketing energy demands of AI, which have already threatened climate emissions targets and led some tech giants to resort to nuclear power.

“Biological neurons are one million times more energy efficient than artificial neurons,” Jordan said. They can also be endlessly reproduced in the lab, unlike the massively in-demand AI chips made by companies like behemoth Nvidia.

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