NOIR, Stanford’s Mind-Controlled AI Robot

Author(s): Ignacio de Gregorio

Originally published on Towards AI.

A Scalable Mind Interpreter

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At this point, my mom thinks some AI applications have become nothing far from magic.

Today, we are going to talk about one of those cases, NOIR.

Developed by Stanford University, this is a model that allows humans to move robots with their minds, something not short of extraordinary.

NOIR is a general-purpose model with the capacity to decode imagined motions through brain signals into interpretable robotic motions that execute the action imagined by the person.

Thanks to advancements like NOIR, one can envision a world where physically-impaired humans control their surroundings and live their lives independently, just like anyone else.

But first, how does it work?

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To decode the brain signals, the researchers decided to use electroencephalography (EEG).

But EEG is hard to decode, especially considering… Read the full blog for free on Medium.

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Published via Towards AI