Neuralink’s plans for brain-reading ‘threads’ with a robot to insert them is revealed by Elon Musk

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Brain-machine interface technology sounds crazy, isn’t it? What else you can expect when the name of Elon Musk is there with the company ‘Neuralink’. For the first time, the mysterious company made some of the technology public with an idea to build implantable devices so that paralyzed humans could use computers or any other device linked with the computer.

The major advancement is the flexible “threads,” which are said to be less threatening to brain cells and transfer a higher volume of data, according to a white paper credited to “Elon Musk & Neuralink.”

As per the paper, the system could include “as many as 3,072 electrodes per array distributed across 96 threads.” Another big advancement is the machine that will automatically embed the 4-6 μm threads.

While presenting the research on July 16, Musk said it is not for hype but more focused on asking people to work in Neuralink. They shared some updates on the laser beam technology for the brain.

Musk in his own style, when asked about progress, said:

 “A monkey has been able to control a computer with its brain.” Adding further he said that ultimately he wants “to achieve a symbiosis with artificial intelligence.”

Max Hodak, president of Neuralink, said that there is a long history of academic research. Adding further he said:

“Neuralink didn’t come out of nowhere.” In the presentation he said, “We’re, in the greatest sense, building on the shoulders of giants.”

Neuralink has developed a custom chip that is better able to read, clean up, and amplify signals from the brain, the white paper says. As of now, it can only transfer data using a wired connection, but the goal is to make it wireless. The Neuralink has named it “N1 sensor,” which will be implanted inside the brain.

The technology is promising and there is no doubt among scientist. The challenge is to start the human trial as contemporary laws prohibit any such practice. Hope, with the passage of time there will be enough data to prove the efficacy of the brain-machine interfaces.

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