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Artificial Intelligence Used to Analyze Prehistoric Ages

VIVA – Archaeologists found the body of a 50 thousand year old teenage girl with a very strange uniqueness. He looks like an ancestor man modern crossbreeding that scientists had never seen before. Recently, researchers have found evidence that the teenage girl is not alone.

In a 2019 study analyzing complex chaos prehistoric mankind, archaeologists use artificial intelligence (artificial intelligence/AI) to identify the ancestral species of humans that came out of Africa thousands of years ago.

“About 80 thousand years ago, the so-called Out of Africa happen. That is, when a part of the human population that already consisted of modern humans left the African continent and migrated to another continent so that all the populations were mixed up,” said archaeologist Jaume Bertranpetit.

When modern humans migrated by road to Eurasia, they also experienced several other things, such as breeding with ancient hominids and the extinction of other species considered to be Neanderthals and Denisovans.

In this study, three findings from this period were isolated in Eurasian DNA. They used a deep learning algorithm that sifts through the complex mass of ancient and modern human genetic code Science Alert, Thursday, October 28, 2021.

Using a statistical technique called Bayesian Inference, the researchers found evidence of what they call an ancient population of ‘ghosts’ that mated with modern humans during the African exodus.

“This population is related to a Neanderthal-Denisovan ancestor or diverged earlier from the Denisovan Hominini lineage. So, it is possible that this third population in human sexual history is a Neanderthal-Denisovan mix,” he explained.

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