While cognitive sciences have failed us to understand the human NeuroBio frequencies at a deeper level, technologies such as machine learning can not only help us dig deep into the meaning of our frequencies, but also help design the future of AI, as in AGI & ASI, machines as extensions of the human brain & body .
The future is in the waves of NeuroBio signals. In this video I talk about how most of body of knowledge is on the physical brain and cells and how there is an untapped wealth of knowledge to be discovered in the frequencies, as in brainwaves and cellular waves . That’s where all the communication among them inside and out happens.
The sciences have failed us by focusing all their attention primarily on the physical, the visible, as opposed to the invisible body.
However, this proposal is about how ML and AI will be able to help us 1) understand brain and cell waves through mass data and pattern recognition and 2) we can use that knowledge to help build machines as our extension.
See here for the full YouTube 👇
Nilo Sarraf 
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