What AI Is Teaching Us About Ancient Civilizations

While human education around their ancient civilizations may seem a strange function of artificial intelligence, they have potential. Traditionally, archaeological investigative studies and decomposition were boring in a scene. This technology can automate or simplify a lot of the process, which helps people discover more about the past at a huge rate.

Why is Amnesty International to teach about ancient civilizations?

The spoken language is somewhat global. Throughout history, the written language was more rare. The oldest known writing system is the Mesmari, which About 3100 BC was invented. By the Sumerians. The history of pre -carved images dates back to 4400 BC, so academics have thousands of years of records to pour and translate.

There are also graphic letters, pottery, tombs, structures and statues, each with a unique story. For centuries, people are hard -working, deciphering and investigating this koro. Permanent, discovery and successful success – even exciting. However, progress is slow. Sometimes, there are a very small number of topics, creating bottlenecks.

What if researchers were not waiting for? What if they could accelerate their progress ten times? With artificial intelligence, this may be possible. The advanced and designed model for this purpose can reveal secrets that have been hidden thousands of years ago.

The strength of the machine learning model lies in automation and development. Since he learns while dealing with new information, it can develop as progress in research or archaeological projects, which leads to an effective future isolation. Moreover, it requires the minimum human control and can act independently, allowing it to carry out multiple -step tasks on their own.

What historians learned about prior cultures using artificial intelligence

While modern artificial intelligence is relatively new, scientists and archaeologists have already used it to learn more about the place where pre -people live and how they communicate.

Long languages ​​and death

One word can have countless meanings depending on the author’s intentions and the context of training. This complicates decoding. Even simple and meaningless phrases become complex puzzles. The joke “What do you do when you are hungry? It returns to seconds” is a great example because it is a play on words. In a different language, it may be meaningless.

In the past, computer programs stumbled on these nuances. Natural language treatment technology It uses signs of part of the speechDistinguished symbol and lemmatization to learn about individual morphology. With this framework, a algorithm can realize the complexities of context and meaning, even in long languages.

Usually, the ancient languages ​​deciphering were manually task with error. Now, a model with NLP capabilities can decipher the language written in a small part of the time.

Take the pictorial geogeliya-designs before Columbus engraved in desert sand-for example. It took nearly one century To discover 430 Nazca Geographlyphs About Nazca Pamba. Using artificial intelligence, a new 303 research team found a new, which doubles the known total number in just six months of field survey.

Where archaeological sites

Recently, a research team from Khalifa University in Abu Dhabi has used Amnesty International to determine the signs of a 5,000 -year -old civilization under the sandy dunes, the largest desert in the world. since More than 250,000 square milesIt is very difficult to study. Sand and harsh conditions convert the complexity of archaeological surveys.

The research team used high -resolution satellite images and artificial aperture radar technology to detect the artifacts buried from space. These results are fed up in the automatic learning form for photo processing, spatial geographical analysis, and investigation automation. This approach It was accurate within 50 cmThis indicates its capabilities.

Amnesty International Roads improve the understanding of antiquity

Artificial intelligence also helps scientists understand more about how ancient civilizations work, giving them a clearer window in the past.

Simulation of ancient cultural attitudes

Michael Farnum, head of the Social Psychology Zone and Associate Professor at Arizona State University, recently shared an opinion article that suggests the use of obstetric artificial intelligence to simulate ancient cultural attitudes.

The current methods are fighting to reveal the mentality or behaviors of cultures that have long emerged. Varnum says people in his field Usually use indirect agents Like archive data on crime levels or divorce rates to infer the values ​​and feelings of people. However, this approach is indirect and inaccurate. The solution is to train artificial intelligence in analyzing historical texts.

However, while artificial intelligence can deduce people’s opinions and emotions from written records, their visions will be perverted. Historically, the ability to read and write was rare. Varmum admits that any visions created from artificial intelligence will likely come from the upper -class educated individuals. Since the social class affects psychology, the analysis will not provide a completely accurate overview in the past.

Rebuilding previous customs

Whenever archaeologists regain things from old burial sites or half -dried cities, guessing is involved. Even if they know exactly what something has been used, they may be unable to determine how he did it.

In the 1970s, the researchers discovered a grave in the Bronze Age cemetery in Iran. they I found the oldest healthy board game Discover ever, dating back 4,500 years. It consisted of 27 geometric pieces, 20 circular areas and four blossoms. The bases book was not buried, so they could not guess how to play.

Amnesty International can re -create rules and restore long table games. The digital ludme project does so. Indeed, three periods of time and nine regions spanned, Make approximately 1000 playable games once again. Today, these online reconstruction is available for anyone to play.

What can be learned more than these ancient cultures?

There is still a lot of left to learn from artificial intelligence. Mosecar is one of the most interesting. Today, academics can reach around them 5 million Sumerian wordsMillions are more than the Romans who left in Latin. Many of the numerous clay tablets that have been discovered in the area have not yet been deciphered, and more daily is discovered.

To simplify the process, the Amnesty International research team uses to join the fragments of the tablet, and collect the parts together to accelerate the decoding. They also train them to decipher cuneiform, which can only a handful of experts. The speed of the algorithm treatment can make this technology faster limits than humans.

This new knowledge can fill the gaps in history books. Although humans have a wide cultural history, many areas are still not explored because they did not have technology. With automated learning techniques and obstetric models, it can have a deeper understanding of the world, and the acquisition of a new perspective on history.

With the help of Amnesty International in detecting archaeological sites, deciphering long languages ​​and translating old texts, professionals in industry can find new books, historical accounts, artworks and treasures. These results can be shown in a museum or the descendants of communication with their ancestors help.

The future view of artificial intelligence solutions as archaeological tools

Amnesty International can decipher the long dead languages ​​and determine the location of the causes of ancient burial and simulate old practices. Its results may end in history books or museums. Of course, academics must walk carefully. While this technology is strong, bias, inaccuracy and hallucinations are not common. The human approach in the episode can help reduce these issues.