AI and robots help us find new 6000 viruses

In the industrial age 4.0, the role of technology - namely AI and machine learning is more important than ever. Evidence is that 6,000 newly found viruses are all AI products.

Recently, scientists from the US Department of Energy's Genetic Institute had a huge discovery, when they found up to 6000 new viruses. But most notably, what helps them do it is one

Specifically, the study was published at the annual meeting of this organization, led by scientist Simon Roux.

According to Roux, using AI and can help us find new viruses at a much faster rate than the traditional way. And with AI, it will be a revolution for human health care.

More than 6000 new viruses are found.

More precisely, the virus group was found to be called inovirus - viruses that can parasitize bacteria. Although they do not harm humans directly, they are still capable of causing some problems, because inovirus-infected bacteria will become stronger.

It is known that "self-learning machine" is a technology in which algorithms can learn by themselves when receiving data. By "training" the genetic samples from viruses, the team can own a type of AI with the ability to search for new inoviruses automatically.

According to Roux, their approach has two steps. First, they entered data including 805 gene sequences from known inoviruses into the algorithm. Next, they imported another 2000 sequences of genes from viruses and bacteria. By combining these data, the software can find new viruses and inoviruses.

After being "trained", the software will be used to analyze a database of giant gene sequences. Unwilling to expect, the system identified a huge amount of inovirus.

In this era, all areas must have the intervention of technology.

It should be known that before Roux's group began to study, there were fewer than 100 types of inoviruses confirmed by humans. For now, the number is up to 6,000 species, all thanks to the new AI system.

This is not the first time that AI and machine learning technologies contribute to a genetic study. Deyvid Amgarten - expert from São Paulo University (Brazil) also uses AI to identify viruses in fecal samples from the zoo in São Paulo.

His goal was to understand the role of viruses in bacteria, to see if there was any potential effect that could cause the feces and organic compounds to decay faster.

Even other areas have contributed by AI. Astronomers are looking for new planets at a faster rate, thanks to AI and machine learning. Service providers also allow users to have a better experience automatically, thanks to AI.

So it can be said that in this technology age, all fields must have the technology intervention.