Implant liquid into human brain to be smarter

Researchers have found a way to store data in liquids, opening up the prospect of a new type of implant into the brain, acting as a "Google data warehouse" inside the body, helping children. people become smarter.

US scientists claim to have discovered the technique of condensing photos, videos and other documents into tiny particles in the water. This technology called "wet computing" could one day be applied to the brain, allowing people to calculate faster and recall more information.

According to Soft Matter magazine, experts from the University of Michigan (USA) have successfully stored information in "colloids" , tiny particles that change state when placed in liquid. The state changes in these particles can be used to encode with strings 0 and 1, which are stored in today's solid-state hardware technology.

Picture 1 of Implant liquid into human brain to be smarter

The researchers said that a spoonful of liquids containing nanoparticles could store up to 1 terabyte of data, which is equivalent to more than 2,000 hours of recording.

Professor Sharon Glotzer, a chemical engineer and team member, describes the bonding of nanoparticles like a rubic mass around a central core. A memory cluster of 12 particles linked to a central sphere can produce up to nearly 8 million separate states, equivalent to 2.86 bytes of data, which is enough to encode three letter characters.

If scientists can count all those differences and understand how to switch from one state to another, then they can encrypt the information, Professor Glotzer explained.

In the experiments, Mr. Glotzer and his colleagues created a memory cluster of 4 particles on the central sphere. By heating liquids, spheres increase in size and particles re-arrange themselves in certain ways.

In order to store liquid information into a viable application, the team needed to find a way to lock the memory clusters into precise shapes in larger liquid volumes. And to enhance the power of the brain, the immediate application of this technology can produce bio-adaptive sensors, such as monitoring blood sugar levels in diabetics.