IoT can also mean internet of thoughts

The Internet of Thoughts concept assumes the interconnection of human brains with a computer through a direct interface. In addition to IoT, another abbreviation is B / I, the Brain / Cloud Interface. Interestingly, a scientific journal has now published a study on the subject. Of course, this is not surprising, for example, by futurist Ray Kurzweil.


A study published by Frontiers in Neuroscience. Many scientists from many institutions, including Nuno RB Martins from Lawrence Berkeley National Laboratory, participated. The basic vision is as follows: the interface itself, which provides access to information and computing resources, will be the thoughts themselves. All you have to do is remember a certain topic and both the information itself will begin to stretch into your brain and you will also gain access to artificial intelligence systems. And when is this to happen? Apparently, “for decades”, possibly “to the end of the century” – which is a time so far away from the technological explosion that there is any question of whether to make predictions in that horizon. It is clear that not only education, but practically all aspects of human life, would change radically in such a world. For example, people could perhaps “live through” pieces of other people’s life, and so on.

Especially special nanorobots are supposed to mediate B / CI interfaces to monitor the signals from the brain and control the signals coming. They could move, cross the barrier between the brain and the rest of the bloodstream, maybe even enter the individual neurons. They would communicate by wireless means with external networks. In the end, such a link could possibly create a collective supermodel, including both human and artificial intelligence.

Meanwhile, the BrainNet experimental project allows the transmission of signals between brain models, including magnetic pacing on the receiver. In this way, it has already been possible to transfer ideas between the brains of rats.

It is a question of where there is a narrow throat, ie what technologies from the needed mix will be available sooner and later. Is the main problem with network computing performance? Development of Artificial Intelligence? The development of nanorobots or knowledge of the functioning of the human brain? The study also includes attempts to quantify relevant parameters, ie, what computing power and bit rate would actually require for the practical deployment of technology. Human Brain / Cloud Interface

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