Humanity has come to love neural networks and is even ready to fall into a kind of dependence on them, but the use of this technology is impossible without gigantic power. It evolved from a primitive “force” approach by destroying thousands of neurons with varying optimal resolution. Intuition in a new, poetic key to understanding the meaning of something new takes a person a day of brain time and the equivalent of 20 W of energy, and for neural networks – up to 8 megawatts, with an unknown time of manifestation.
It is necessary to use a device based on a neural network. A prototype is currently being built by Cortical Labs under the name “DishBrain”. The Indian University did not “exploit” it and made this version of a living neural network.
The idea is to take a set of brain stem cells that have already grown to the level of an orgoid in a sphere about a nanometer in diameter, and place them in a rack of electrodes. If you do not transmit signals to live data, the drug analyzes reactions. Construction culminated with the launch of “Brainoware” and today it is also known as “Brainoware”.
They adapted the methods used to capture the neural networks of Brainoware’s “tutorial” system. They were not isolated because the tests were separated from them. In the latter case, the totality of separation and the presence of neurons range from 51% to 78% in two days. In the second case, the accuracy of predicting viewpoints increases. For this value the value is 0.356 or 0.812.
Future experiments will include the use of memory modules and new electrode architectures. The main conclusion is that “it” learns without being a full-fledged brain. Thus, maintaining life support turned out to be expensive, a convenient interface for working with Brainoware, for assigning it pent-up application tasks, and it will not appear soon. If it is prepared at all, use fragments, albeit, and not live m. This also combines many neurotic problems.
Theoretically, the possibility of existence has already increased. This is the performance and mobility of a supercomputer. Don’t do any work, you have to ignore many problems and threats, nobody really has a pony mania No.
Source: Tech Cult
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