Researchers have found a new breakthrough that could be a key to the development of Artificial Intelligence of the future. According to a prolix article published in the journal Frontiers in Systems Neuroscience, an algorithm could explain the workings of human intelligence.
Both, science and technology hand in hand have become much advance to find solutions to a future in which we will see a number of changes to the world today. The Artificial Intelligence is shown as one of the most important technologies in the future. In fact, the big technology companies have reached an agreement to control and preserve the best practices in the world of Artificial Intelligence.
Artificial Intelligence is the future. However, at the same time it poses a very promising world in the coming years, also raises questions regarding security. Tech giant companies like Google, who are already preparing protocols to keep control of its Artificial Intelligence.
Artificial Intelligence is making great strides in recent years and its use can be infinite. One of the most interesting is the use of this technology in the manufacture of robots. Robots that look increasingly to humans, not only in their physical appearance, which is being achieved as a result of experimentation with different materials but also in their thinking.
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What if I tell you that human thought and learning process can be defined using a single algorithm?
Hence, we have now known the news of a new breakthrough that could be a key to the development of Artificial Intelligence of the future. According to a prolix article published in the journal Frontiers in Systems Neuroscience, an algorithm could explain the workings of human intelligence.
According to the researchers behind this study, groups of similar neurons forming multiple groups responsible for managing ideas or basic information. These groups form what scientists have called “functional connectivity motifs (FCM)”. These are responsible for all possible combinations of ideas.
Hence, the researchers gave different food combinations to animals and to test this idea, the researchers analyzed and documented the performance of this algorithm in seven different regions of the brain. The object of study was a group of rodents. They found that each of the regions handled primitive responses such as fear or food.
Investigators traced all groups providing food to rodents from four possible, rodents biscuits, rice, food grains and milk. They found that the number of cliques needed for an FCM is represented by a power-of-two-based permutation logic, i.e., N=2i–1.
Considering the response of the brain, they charted 15 unique combinations response. When the food was brought to rodents responses occurred naturally, disappearing once the stimulus removed.
Thanks to this study which simply made it possible to see how the brain works algorithmically. Something that does not serve to make the most intelligent human beings, but which may prove vital in creating endowed with a very similar to ours Artificial Intelligence robots.