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Could Quantum Computing Advance Neural Technology for an Interface Between Human Brains & AI?

By IQT News posted 18 Sep 2019

(Sociable.co) This article explores quantum computing and questions how it might facilitate a more compatible and seamless interface between human and “machine” by exploring exotic materials like those that organic electronics have to offer.
Quantum computing may help us probe exotic materials for improved compatibility between our squishy organic brains and electronic chips. If society is heading down the road of connecting human brains with artificial intelligence, it may require the use of materials that can facilitate bio-organic electronics for compatibility purposes.
Machines don’t operate the same way that a biological brain does, and this author says that putting ethics aside–we need to explore better methods of integration.
Quantum computing offers great potential in not only probing the materials that would be compatible with the human brain, but quantum computing may also be able to simulate the brain and nervous system. MIT’s Dr. Polina Anikeeva who is studying neural technoogy, says “I think seeing advances in materials that can match properties of the nervous system to address the signaling complexity to interface with the nervous system will be very important.”
Could quantum computing help us advance these materials?

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