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Since seeing their presentation at the 2045 Conference this summer in New York city, I’ve been digging more and more into the research UC Berkley research team’s design and implementation of “Neural Dust.”

Traditional Brain-Machine Interfaces (BMIs) have involved the use of one or more tiny, thin spikes (often set together in an array) inserted into the brain to detect or influence brain activity. Not only is this method limited to surface areas of the brain, it’s effectiveness tends to wane over time as nearby neurons seem to “wear out” in terms of their transmissions.

Amidst the myriad challenges of creating a more flexible “dust” method of BMI are the issues of heat transmission and the relation of size and capacity of the dust itself.

A recent article on the Next Big Future delves into detail on the opportunities and hurdles of a whole new way for man and machine to mix.


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