While teaching people about their ancient civilizations may seem a strange work for artificial intelligence, it has potential. Traditionally, archaeological surveys and deciphering were carefully tedious. This technology can automate or improve most of this process, helping people to discover the past at an exponential pace.
Why artificial intelligence is needed to teach ancient civilizations
The spoken language is more or less universal. In all history, written language was much rarer. The earliest known writing system is the wedge It was invented about 3100 BC. by the Sumerians. Prelimite carved images come from 4400 RPne, so scientists have thousands of years of translation and translation entries.
There are also glyphs, ceramics, graves, structures and statues, each with a unique history. For centuries, people have carefully identified, deciphered and studied these curiosities. The pursuit, discovery and success are satisfying – even exciting. However, progress is slow. Sometimes there is an extremely small number of items, creating bottlenecks.
What if scientists didn't have to wait? What if they could speed up their progress ten times? With AI it may be possible. An advanced, specially built model can discover secrets that have been hidden for thousands of years.
The power of the machine learning model consists in automation and evolution. Because he learns during processing new information, it can evolve as the progress of research or archaeological projects progress, effectively securing himself for the future. In addition, it requires minimal human supervision and can act independently, enabling him to conduct complex multi -stage tasks.
What historians learned about pre -modern cultures through artificial intelligence
While modern artificial intelligence is relatively new, scientists and archaeologists have already used it to learn more about where pre -modern people live and how they communicated.
Words in long -dead languages
One word may have countless meanings depending on the author's intentions and the context of the composition. This complicates deciphering. Even simple, senseless phrases become complex puzzles. The joke “what does the clock do when he is hungry? It returns for a few seconds”, is a great example, because it is a game of words. In another language it may be irrelevant.
In the past, computer programs came across these nuances. Natural language processing technology uses tagging part of speechTokenization and lemmatization to recognize individual morphems. Thanks to these frames, the algorithm can understand the complexities of context and meaning, even in long -dead languages.
Usually, manual deciphering of ancient languages was labor -intensive, susceptible to the mistake of the task. Now the model with NLP's capabilities can decode the language written in a split time.
Take, for example, figurative geoglyphs-projects pre-Columbian engraved into the desert sands. It took almost one century discover 430 Nazca geoglyphs around Nazca Pampa. Using AI, the research team found 303 new, almost double the completely known number in just six months of field research.
Where there are archaeological places
Recently, a research team from the University of Khalifa in Abu Dhabi used artificial intelligence to identify the signs of a 5000-year-old civilization under the dunes of Rub al-kali, the largest desert in the world. From that stretches over 250,000 square milesIt is extremely difficult to explore. Changing sands and difficult conditions complicate archaeological surveys.
The research team used high resolution satellite radar technology and synthetic aperture to detect buried artifacts from space. These results were introduced to the machine learning model for image processing and geopolitative analysis, automating the test. This is an approach it was accurate within 50 centimetersdemonstrating its potential.
The ways in which AI improves the understanding of past eras
AI also helps scientists understand how ancient civilizations functioned, giving them a clearer window into the past.
Simulating ancient cultural attitudes
Michael Varnum, head of social psychology and associate professor at Arizona State University, a recently co -author of opinions proposing the use of generative artificial intelligence to simulate ancient cultural attitudes.
Existing methods are fighting to discover the mentality or culture of cultures. Varnum says that people in his field They usually use indirect proxy servers Just like archival data on crime levels or divorce indicators to deduce people's values and feelings. However, this approach is indirectly and inaccurate. Its solution is to train artificial intelligence for analyzing historical texts.
Although AI can deduce the opinions and emotions of people from written records, his observations will be distorted. Historically, the ability to read and write was rare. Varmum admits that all observations generated by AI would probably come from educated people. Because the social class affects psychology, the analysis would not ensure a completely accurate view of the past.
Reconstructing premature customs
Whenever archaeologists regain objects from ancient burial sites or semi -buried cities, guessing is at stake. Even if they know exactly what something was used for, they may not be able to determine how it works.
In the seventies, scientists discovered a grave at the Bronze Age in Iran. They I found the oldest intact board game Whenever he has been discovered that he dates back to 4,500 years. It consisted of 27 geometric pieces, 20 round spaces and four bones. No tank was buried, so they could only guess how to play.
Ai could play the rules, restoring long forgotten board games. Digital Ludeme Project is doing this. It has already covered three periods and nine regions, Occupation of almost 1,000 games Again. Today, these reconstructions are available online to anyone who can play.
What more can you learn from these ancient cultures?
There is still much more to learn from artificial intelligence. CuneForm is one of the most interesting. Today, scientists have access to 5 million Sumerian wordsMillions more than Romans in Latin. Many numerous clay tablets discovered in the region have not yet been deciphered, and more are discovered almost every day.
To improve the process, the research team uses artificial intelligence to combine fragments of tablets, combining parts to accelerate deciphering. They also train him for deciphering wedge, to which only a handful of experts is capable of. The speed of algorithmic processing can make this technology infinitely faster than people.
This new knowledge can fill the gaps in historical books. Although people have an expansive history of culture, many regions remain unexplored because they did not have technology. Thanks to machine learning techniques and generative models, they can understand the world deeper, gaining a new look at history.
Thanks to the help of AI in discovering archaeological places, deciphering long -dead languages and translating ancient texts, industry specialists can find new books, historical accounts, works of art and treasures. These discoveries can be displayed in the museum or help descendants connect to their ancestors.
Future prospects for AI solutions as archaeological tools
AI can decipher long languages, locate ancient burial areas and simulate ancient practices. His discoveries can end in historical books or museums. Of course, scientists should stand carefully. While this technology is powerful, prejudice, inaccuracies and hallucinations are not rare. The human approach in the loop can help them alleviate these problems.
