The new artificial synapse can make the new type of communication between neurons and microchips possible.

"This illustration shows an analog deep learning processor powered by ultra-fast protonic. Credit: Ella Maru Studio, Murat Onen" (ScitechDaily.com/MIT’s New Analog Synapse Is 1 Million Times Faster Than the Synapses in the Human Brain)

"MIT engineers working on “analog deep learning” have found a way to propel protons through solids at unprecedented speeds". The article on ScitechDaily.com says.

The MIT researchers created a new analog synapse that works 1 million times faster than synapses in brains. The system is based on ultra-fast protonic resistors. In the case of this new processor, increasing and decreasing the electrical conductance enables analog deep-learning.

And that makes it possible to create new deep-learning processors. But those new deep-learning processors can also connect with living neurons. And they can make a new type of communication between brains and microchips possible.

There is the possibility that those artificial synapses can operate between the border of living neurons and non-organic microchips. That means those analog very small synapses are acting as switches between neurons and computers.

Before research can put this system in the human brain. It can use in the bug-cyborgs. Those microchip-controlled bugs can use to communicate between the microchip and the neurons of the bug. The thing is that these kinds of switches can use in the microchips that are used to connect the intelligent prosthesis in the human brain. That means. Those very effective switches can be used in the next-generation BCI (Brain-computer interfaces).

But in the wild visions, researchers can put those analog synapses between neurons. In that process, the creators of that kind of technology can put the nanorobots to carry those switches between neurons. And those systems can make brains operate faster. The fact is nanotechnology along with extremely powerful computing is one of the next-generation tools in many systems.

The BCI (Brain-Computer Interface) is the next-generation tool for controlling prostheses. The new sensors are making it possible. That prostheses are feeling like real hands or legs, but that requires two-way communication. So the BCI is a more multi-use technology that can use to hack human brains and control remote robot bodies.

The BCI can use to connect a person's brain straight to the internet. It can use to control real or virtual tools in the metaverse. If the implanted electrodes are in the right brain areas the user of those systems cannot even realize what is real and what is a virtual world. The electric stimulation of the cortex means that the system sends data straight to a certain brain area.

And because there are no sensory neurons between observation and brain area. The brains cannot separate the real or artificial images. The possibilities of the BCI are without limits. If the EEG that the system transmits to the brain can decode this system allows seeing what kind of dreams a person sees.

The BCI systems where the pilot can control the 6th. generation jet fighter by using EEG waves are giving the next changes for making the solutions that are removing the effect of the G-forces. The BCI makes it possible. Pilots can control aircraft by controlling the computers straight or the seat can equip with robot hands. Also, the senses of the pilot can connect straight with the brains of the pilot.

But the same systems can also use to control miniature robots that are operating in the human body. Those miniature nanorobots are under development. And their purpose is to remove tumors, especially from the human brain and other sensitive areas. The BCI can use to control large or small-size entireties.

https://scitechdaily.com/mits-new-analog-synapse-is-1-million-times-faster-than-the-synapses-in-the-human-brain/

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