New AI algorithm brings us closer than ever to controlling machines with our minds

April 20, 2020

By Tristan Greene

Researchers from Carnegie Mellon and the University of Pittsburgh today published research showing how they’d solved a frustrating problem for people who use a brain-computer interface (BCI) to control prosthetic devices with their thoughts. While the research itself is interesting – they created an algorithm that keeps the devices from constantly needing to be re-calibrated to handle the human brain’s fluctuating neuronal activity – the real takeaway here is how close we are to a universal BCI. BCIs have been around for decades in one form or another, but they’re costly to maintain and difficult to keep working properly. Currently…

This story continues at The Next Web

Source:: The Next Web


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