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Books burn. Papyrus rots. Clay tablets get buried under centuries of rubble. And yet, against every expectation, some collections survive — partial, damaged, scattered — and what remains tells us more than we might think….

When Shelves Become Ruins

Most people picture a library as a building full of books. Ancient libraries were something stranger. They were political statements, spiritual archives, tools of the empire. The Library of Ashurbanipal in Nineveh, built around 650 BCE, held over 30,000 clay tablets — a deliberate attempt by an Assyrian king to collect all knowledge in the known world.

Archaeologists uncovered it in the 1850s in what is now northern Iraq. Many tablets survived precisely because the library burned — the fire baked the clay hard, preserving texts that might otherwise have crumbled to dust.

What the Tablets Actually Contained

The contents were not what you might expect. Yes, there were royal records and astronomical observations. But there was also poetry, medicine, mythology, and flood narratives that predate the Biblical account by at least a thousand years.

The Epic of Gilgamesh was found here, pieced together from fragments. Without this library’s destruction and burial, that text — one of the oldest stories ever written — would simply not exist today.

The Herculaneum Scrolls

In 79 CE, Mount Vesuvius buried an entire villa near Herculaneum under volcanic material. Inside was a private library of roughly 1,800 papyrus scrolls, now carbonized into brittle black cylinders. For centuries, scholars could do little more than guess at their contents.

That changed. Using multispectral imaging and, more recently, AI-assisted decoding, researchers have begun reading texts previously considered destroyed. In 2023, a team announced the first successful decoding of a substantial portion — an Epicurean philosophical text. The scrolls are still yielding new material.

Libraries as Power

Ancient rulers understood something that is easy to forget: controlling texts means controlling knowledge. The Library of Alexandria, probably founded around 295 BCE under Ptolemy I, was a deliberate political project. Egypt’s rulers reportedly required all ships entering the harbor of Alexandria to surrender any scrolls aboard for copying — and sometimes kept the originals.

At its height, the library may have held between 400,000 and 700,000 scrolls. Estimates vary widely. What is certain is that it functioned as a center for translation, commentary, and scientific research. A sort of ancient version of FictionMe. Since people couldn’t read novels online before, libraries attracted scholars from across the Mediterranean world. It was a long journey, from tablets and leather scrolls to reading apps, and today books are accessible to everyone.

Egypt and the Written Desert

Egypt’s dry climate is the closest thing to a time machine that archaeology has. The sands around Oxyrhynchus, a mid-sized ancient city, have produced over 500,000 papyrus fragments since excavations began in 1896. The collection spans roughly 800 years of history.

Not all of it is literature. Most fragments are receipts, letters, tax records, contracts. But that mundane material is often more revealing than any epic poem. It shows what ordinary people bought, owed, worried about, and argued over.

The Dead Sea Scrolls as Library Remnant

Discovered between 1947 and 1956 in caves near Qumran, the Dead Sea Scrolls represent what may have been the library of a Jewish sect called the Essenes. Around 900 manuscripts survived, dating from roughly 250 BCE to 68 CE.

The scrolls include the oldest known copies of Hebrew Bible texts — some 1,000 years older than what was previously available. They have forced scholars to revise assumptions about how texts were transmitted, copied, and altered over centuries.

What Was Lost and Why It Matters

The destruction of ancient libraries was rarely a single, dramatic event. The great libraries declined gradually—through underfunding, political neglect, fire, conquest, and simple decay. Often, they had no “backup copies.” Yet reading was fashionable both before the Common Era and today, with the growing popularity of the FictionMe iOS app and other platforms. Previously, reading was the preserve of “thinkers” or “sages,” but today it’s simply an interesting pastime for some and a source of knowledge for others.

By some estimates, less than 1% of ancient Greek literature survives. We have 7 complete plays by Sophocles; he wrote around 120. Aristotle’s published works, which ancient sources say were polished and widely read, have almost entirely disappeared — what we have are likely lecture notes.

Reading What Remains

The archaeology of ancient libraries teaches a specific kind of humility. Every surviving text represents an accident of preservation — a lucky fire, a dry cave, a careful copyist in a medieval monastery. What we know about the ancient world is shaped not just by what happened, but by what happened to be written down and then happened to survive.

Scholars today use infrared scanning, DNA analysis of parchment, and machine learning to extract information from damaged materials. The field is moving fast. Texts that were illegible a decade ago are now being read for the first time in two thousand years.

The Libraries Still Being Found

Archaeological work continues. In 2019, researchers identified a library room in the ruins of Herculaneum that had not yet been excavated. In Egypt, new papyrus caches the surface periodically. In Jordan and Israel, caves in desert terrain are still being surveyed.

The archive of the ancient world is not closed. It is incomplete, fragile, and scattered — but still, slowly, being opened.

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Curtin University—New research by Curtin University has revealed how one of Stonehenge’s most mysterious stones was likely transported hundreds of kilometres across Britain through challenging terrain, highlighting the remarkable capabilities of ancient communities.

Stonehenge’s central Altar Stone is a six-tonne sandstone megalith now believed to have originated in northeast Scotland, around 700km from Salisbury Plain, underscoring the extraordinary scale of its journey.

The new study* builds on earlier findings that ruled out glaciers as the sole mechanism for moving the stones, strengthening the conclusion people were responsible for transporting them across difficult terrain rather than relying on natural Ice Age processes.

Researchers have now focused on what that journey may have looked like, combining mineral grain dating with ice-sheet modelling to pinpoint the stone’s origin and test whether glaciers could have carried it south.

Co-lead author Dr Anthony Clarke, from the Timescales of Minerals Systems Group within Curtin’s School of Earth and Planetary Sciences, said the findings suggest the journey was far from simple and likely required careful planning across multiple stages.

“Rather than being carried naturally by ice, the evidence points to a deliberate, carefully planned movement across a challenging and varied landscape,” Dr Clarke said.

“Our modelling shows glaciers may have transported rocks part of the way during the last Ice Age — potentially as far as Dogger Bank in the North Sea — but not into southern England, meaning the stone would still have needed to be moved hundreds of kilometres by people.

“The research indicates there were no viable glacial pathways linking the source region directly to Stonehenge, reinforcing the conclusion that human transport was required.

“Instead, this suggests the stone was likely moved in stages, potentially combining overland hauling with river or coastal transport where possible.”

Dr Clarke said the findings reveal a level of organisation and cooperation among Neolithic communities not previously fully appreciated.

“Transporting a stone of this size over such a long distance would have required planning, coordination and a deep understanding of the landscape – not to mention tremendous determination,” Dr Clarke said.

“The study demonstrates how combining geological analysis with computer modelling can help resolve long-standing questions about how Stonehenge was built.”

Future research will aim to pinpoint the Altar Stone’s exact source in northeast Scotland and further investigate possible transport routes used by prehistoric communities.

The research was conducted in collaboration with experts from Sheffield Hallam University, the University of Sheffield, Wessex Archaeology, and the University of Bristol in the United Kingdom.

The study, ‘From Highlands to Henge: Refining the Provenance and Transport Pathways of Stonehenge’s Altar Stone’ (DOI:10.1002/jqs.70080), was published in the Journal of Quaternary Science.

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Above and below: Dr Anthony Clarke at Stonehenge.  Credit Curtin University

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Article Source: Curtin University news release.

*From Highlands to Henge: Refining the Provenance and Transport Pathways of Stonehenge’s Altar Stone, Journal of Quaternary Science, 4-Jun-2026. 10.1002/jqs.70080 

Staatliche Naturwissenschaftliche Sammlungen Bayerns—Six years ago, during construction work in Taimering near Regensburg (Bavaria, Germany), employees of the Bavarian State Office for the Preservation of Historical Monuments (BLfD) discovered a nearly 2.5-meter-long, spirally twisted tusk that belonged to a woolly mammoth, Mammuthus primigenius. Nearby, the archaeologists also found over 70 additional bones and bone fragments, primarily from the ribcage as well as hand and foot bones. Most of the long bones of the large mammal are missing. “The mammoth’s tusk and bones were exceptionally well-preserved due to their millennia-long conservation in the wet soil environment,” says Dr. Christoph Steinmann, deputy head of the Department of Archaeological Heritage Preservation for Lower Bavaria/Upper Palatinate at the BLfD. After its recovery, the find was prepared at the Bavarian State Collections of Natural History (SNSB), and further scientific investigations were coordinated from there.

The palaeontological assessment revealed that all the bones, as well as the tusk, belong to a single, very large but not yet fully grown individual with a shoulder height of about three meters. The Taimering woolly mammoth likely died directly at or at least near its discovery site. The bone surfaces, which have been preserved intact down to the finest detail, rule out both prolonged transport by water and disarticulation by predators. According to the researchers, the animal was buried in the sediments of a pond or a slow-flowing tributary of the prehistoric Danube River during the Ice Age. Radiocarbon dating indicates a geological age of the bones between 27,000 and 25,000 years ago.

Unusual markings on the surface turned out to be cut marks and provide clear evidence of human activity. Numerous such indentations are found exclusively on the ribs—made by Palaeolithic hunters and gatherers who butchered the animal. One of the broad rib bones was even used as a cutting board. Whether the mammoth was killed by humans or had already been dead when people processed the carcass remains unclear, according to lead author Kerstin Pasda from the Institute of Prehistory and Early History at the Friedrich-Alexander-University Erlangen-Nürnberg (FAU), who conducted the osteoarchaeological analyses of the anthropogenic modifications.

Pollen analyses conducted by Dr. Philipp Stojakowits at the University of Augsburg reveal a great deal to the researchers about the habitat in which the mammoth lived and died. They indicate a herbaceous, tundra-like steppe vegetation with scattered dwarf shrubs. The so-called Mammoth Steppe was a vast treeless ecosystem in Eurasia that, during the peak of the last glacial period from 30,000 to 20,000 years ago, stretched across Europe between the Scandinavian ice sheet and the southern glaciers of the Alps. Its nutrient-rich grasses and dwarf shrubs provided food for a variety of large mammals, including the Taimering mammoth.

The discovery is exceptional in many respects. “First of all, mammoth skeletal remains are extremely rare in our latitudes. We are familiar with finds mainly from regions of Eurasia further to the east,” says PD Dr. Gertrud Rößner, a palaeontologist at the Bavarian State Collections of Natural History. “On the other hand, there is virtually no evidence of human activity in this region from that peak period of the Ice Age. Due to climate change, hunter-gatherer communities in Europe retreated southward and eastward,” add archaeology professors Andreas Maier of the University of Cologne and Thorsten Uthmeier of FAU Erlangen-Nürnberg.

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The mammoth’s tusk at the excavation site in Taimering.  (Photo: BLfD) Credit BLfD

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A staff member of the Bavarian State Office for the Preservation of Historical Monuments (BLfD) recovering the mammoth’s tusk.  Credit BLfD

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Recovery of the first left rib from the mammoth’s ribcage.  Credit BLfD

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The mammoth’s tusk in the paleontological preparation laboratory of the Bavarian State Collections of Natural History.  Credit K. Hagemann, SNSB

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Participating Institutions
Overall, 14 scientists from various disciplines participated in the mammoth study, including researchers from the Bavarian State Collections of Natural History, the Friedrich-Alexander University Erlangen-Nuremberg, the Bavarian State Office for the Preservation of Historical Monuments, the Reiss-Engelhorn Museums and the Curt Engelhorn Center for Archaeometry in Mannheim and the University of Augsburg, LMU Munich, and the Universities of Cologne and Bremen, as well as the Museum of Prehistory and Local History in Bottrop.

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Article Source: Staatliche Naturwissenschaftliche Sammlungen Bayerns news release.

*A cold case from the last Glacial Maximum: A partial mammoth skeleton from southern Germany (Danube Valley, Germany) – Part 1: Traces of human activity and archaeological context, Journal of Archaeological Science, 3-Jun-2026. 10.1016/j.jasrep.2026.105839 

Many people are overwhelmed by the fast-paced evolution of mass communication in a world increasingly shaped by the internet and artificial intelligence (AI). Yet ideas have not always circulated across the globe at lightning speed.

Looking into deep time allows us to view our current mode of existence from a broader perspective and to discern patterns of change that may offer insights into our species’ possible trajectories in the future. We can begin by trying to identify the conditions under which humans developed complex symbolic communication, which is considered unique in the animal kingdom. Today, we have succeeded in transposing incredibly complex digital languages, beyond the grasp of the human mind, into computerized systems capable of processing, storing, and sharing all kinds of information with the push of a button or a click of a mouse.

Human language is at the root of this system. While hardly perceptible in the archaeological record, hominin physiognomy assessed from the fossil record allows us to observe that the capacity to vocalize across a significant range dates back to a very early time period. Physical features linked to resonance complexity and articular precision, like the low positioning of the larynx, an enlarged pharyngeal cavity, and a flexible tongue housed in an ample palate, were already part of the human anatomy by the time Homo erectus emerged in Africa nearly 2 million years ago.

Somatic harmonization, necessary for speech production, is ensured by the tiny and crucial hyoid bone, a floating anchor for the muscles controlling the tongue, throat, and voice box as they work together to regulate sounds emitted during speech. Paleoanthropologists studying the position, geometry, and internal structure of Neanderthal hyoids discovered in archeological sites found them to be nearly identical to those of anatomically modern humans, suggesting that they were already capable of emitting a similarly sophisticated range of sounds. Evidence from Spain also reveals that modern hyoid morphology was present by at least 530,000 years ago, indicating that it could be a derived characteristic shared by modern humans and pre-Neanderthals, which they inherited from their last common ancestor.

The ability to emit a wide range of vocalizations characteristic of modern human language did not appear abruptly, but rather, was favored over millennia by interrelated adaptive elections taking place under the evolutionary orchestration of both natural selection and techno selection. As early as around 7 million years ago, some early primates displayed several craniofacial modifications believed to have evolved, at least in part, to accommodate bipedal locomotion. These included features such as reduced prognathism, more gracile jawbones with smaller teeth, and a restructured skull base, all of which subsequently facilitated the anatomical tweaks necessary to increase the human capacity to pronounce a wide range of sounds.

By the time hominins began systematically making stone tools some 2.6 million years ago, a series of changes in the archaeological record reflected the significance of this adaptive strategy. Around 1.75 million years ago in Africa, these (Oldowan) assemblages were progressively replaced by Acheulian industries comprising tools with wider technological and morphological variability, including skillfully manufactured and (esthetically pleasing) premeditated forms, like spheres and symmetrical pointed tools called handaxes, which required high degrees of dexterity to make.

Observing synapses activated during experimental tool replication has shown that the cognitive processes involved in passing on the skills necessary to make such tools are linked to those activated by language. Furthermore, evidence from ancient DNA analysis suggests that regulatory genetic variants favoring language-producing abilities underwent long-term evolutionary selection in hominin populations, with some of these features predating the divergence of modern humans and Neanderthals.

Fully embracing the advantages offered by their newfound technological proficiency, Acheulian hominins benefited from access to the choicest morsels of meat and viscera to feed their developing brains. They experienced unprecedented demographic expansion and assembled into more complex group settings sheltering numerous individuals. Eventually wielding fire, Acheulian populations spread into new lands within and beyond Africa, utilizing their rapidly developing technologies to confront diverse environmental and social challenges.

Some archaeologists have described this process as a biocultural feedback loop, in which unprecedented cerebral growth (supported by higher protein intake) was linked to toolmaking. This process was catalyzed by increasing social complexity, reinforced by the development of culture, and favored the selection of symbolic communication. Language—the preponderant expression of symbolic transmission—initially developed as a survival-related response to effectively transmit technological competence, and ultimately became a means to express multifaceted cultural norms developed to promote social proficiency.

There is no doubt that culture evolves; that it was/is transmitted socially through learning processes that have been intricately developed over time and now extend well past adolescence and, in some cases, beyond the optimal reproductive age for women. Culture is inherently cumulative: it is an aggregate of past human experiences, errors, discoveries, adaptations, and rectifications to deduce scientific and philosophical insights about the universe—and our place in it. Symbolic communication, expressed as language and writing, and later also as art and music, reinforces cumulative culture by allowing us to express, preserve, and share knowledge beyond time constraints.

The story of technological evolution following the emergence of the Acheulian reveals two major forces that still operate today: acceleration and complexification. By the end of the Acheulian and into the Middle Paleolithic period and beyond, technological and (linked) social achievements accumulated exponentially, widening the baseline upon which hugely transformative accomplishments emerged. At the same time, populations multiplied, creating interrelational networks that favored reproductive, material, and cultural exchanges.

I have proposed defining this phenomenon as a fractalization process, insofar as each branch replicates the underlying evolutionary patterns, overcoming the constraints of its ancestral source while retaining the full spectrum of human cognitive expression. In this model (that is comparable to biological natural selection), small variations or adjustments can lead to exponentially magnified outcomes through recursive and effectively infinite cycles of reproduction.

By the time our own species came on the scene more than 200,000 years ago, culture had flourished into symbolic material expressions, inexorably linked to the technological and social realities of past human lives. Fire, for example, provided ample fodder for experimenting with the power of transforming existing materials, enabling new capacities during the Neolithic and Metal Ages, with successive discoveries, such as pottery and, eventually, glass and metallurgy, transmuting and enabling new societal paradigms.

Following the shift from hunter-gatherer to production-based lifeways, technological complexity split individual role-playing into distinct occupations, sharpening perceptions about (imagined) interpersonal “value” within social settings. As populations swelled and collective living arrangements expanded, these systems became structured around complex symbolic interactions, material cultures, territorial identities, and hierarchies constructed to sustain group cohesion. Importantly, social organization came to rely upon artificially constructed (symbolic) notions that led regionally assembled groups to contrast their ideas of communal belonging (identity) with those existing in neighboring territories. As competition for land and resources increased, these contrasting symbolic realities became a justification for (sometimes violent) interpopulation conflicts.

Communication networks grew increasingly complex alongside expanding production and territorial markets, accelerating the spread of cultural and material exchanges. Protohistoric societies developed early writing systems based on symbolic signs used as mnemonic strategies to represent ideas and objects. Emerging independently in regions such as Mesopotamia, Egypt, Central America, and China, these systems gradually evolved from pictorial symbols into stylized phonetic and logographic writing largely detached from their original visual meanings.

Throughout human experience, learning has been central to survival, with scientific and behavioral complexification acting as a driving force to develop sophisticated new ways to educate, demonstrate, and train each successive generation to become effective agents of our seemingly unstoppable technological proficiency. Presently, ideas move instantaneously across space and time through global communication networks. Digital platforms make information accessible worldwide, shrinking distances and connecting populations, while promoting mass media and consumer culture. Often shaped by corporate interests that influence production, consumption, and resource distribution in a world driven by digital images and symbolic messaging, global connectivity has become the force shaping human thought and social organization.

Uniformity is increasingly becoming a defining characteristic of human life shaped by digital communication. Despite the technological sophistication of the systems that mediate and transmit human thought, we are adopting simpler forms of communication, homogenizing language, and gradually adapting our patterns of thinking to fit the digital platforms used to express them. The next stage of human evolution involving the merging of human intelligence with AI may already be here. As we become increasingly dependent on computerized tools to function within contemporary social environments, the ability to communicate effectively through digital means is emerging as a fundamental requirement.

At the end of the 1980s, screenwriter Maurice Hurley and the creators of Star Trek showed remarkable foresight in creating the Borg: fictional cybernetic organisms linked through a single collective consciousness in which thoughts and actions are shared and controlled by a powerful centralized computer system. In this dystopian vision of the future, the Borg’s main purpose is to assimilate other species in pursuit of greater knowledge, efficiency, and power. Once assimilated, subjects lose their individuality and become linked to the Collective (or hive mind).

As humanity moves toward a predicted state of post-humanism (human-machine hybridization) and the boundaries between human cognition and machine intelligence become increasingly blurred, it is worth asking whether this vision already mirrors some aspects of our own interconnected and technology-mediated world.

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This article was produced by Human Bridges.

Cover Image, Top: franz26, Pixabay

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For decades, being an archaeologist was an unreachable dream for countless people. Very few of them could access specialized universities and afford expensive travel coupled with lengthy expeditions and excavations. However, with the introduction of AI and the growing access to near real time satellite imagery, even students who live in the farthest and most rural corners of our planet can make a difference. 

If you’re worried about mastering the technologies and learning how to read archaeological data, you can rely on open and distance learning (ODL) programs that can equip you with all the knowledge you need. They help you understand how to access the most current high resolution satellite images available and explore anything you want in close detail, down to 30 cm. How do programs like these work, and what opportunities can you embrace as a modern student with their help? Let’s investigate it all. 

The Role of Real Time Satellite Imagery and AI in Archaeological Studies 

The integration of real time satellite images of the Earth into archaeology has made the latter more accessible than ever before. Even students can identify and explore our cultural heritage now. Specifically, here is what these technologies have enabled: 

• Detection of buried structures. Quality images help spot the slightest soil discoloration and vegetation anomalies, as well as strange geometrical patterns that can indicate some ancient foundations.  

• Monitoring of site integrity. A lot of archaeological sites are threatened both overtly and subtly. Apart from locating new undiscovered spots, you can monitor the integrity of the known sites, making sure no looting takes place. 

• Global and cheap accessibility. As we’ve mentioned, researchers worldwide can get a real time satellite view app and observe the landscape. Students can do the same; it’s cheap and easily accessible. 

AI is also essential. Empirical research proves that it can successfully analyze the habits and patterns of archaeological students and tailor educational content to them. The NLP algorithms can help translate old inscriptions; they are already helping with excavation reports and other historical documents, so the more students learn how to employ AI tools, the better.  

Why Universities Struggle to Incorporate AI and Real Time Satellite Images

Historical archives are there for you to go through them, so what’s the problem? Why are universities struggling with getting real satellite images from space and supplying their students with them? 

• Cost of data. Since universities have to serve thousands of different students, and the data keeps changing all the time, getting materials from the best real time satellite imagery providers on a large scale is way too expensive. 

• Infrastructure limitations. To process terabytes of quality images to meet the needs of all the students in every department, universities have to have a lot of servers and cloud resources.   

• Curriculum indifference. Most archaeology programs are outdated at this point; plenty of professors are traditionalists, and they aren’t interested in making new opportunities widely accessible. 

The irony is that every student can get a real time satellite view now individually, but on a wider educational scale, the system hasn’t been optimized nearly enough. 

Bridging the Gap: Open and Distance Learning

ODL has democratized access to expensive satellite images. These programs rely on cloud-based platforms and openly available datasets, and they train archaeology students worldwide in several areas at once. We’re going to consider all three of them.   

Training Students to Access Satellite Data

ODL courses teach students how to get a satellite view in real time. They explain what tools to use, which platforms to consult, and how to process imagery for archaeological analysis. In addition, they offer practical studies on how to compare datasets from different providers, so you learn how to select the data you need and what to do with it.     

ODL programs can also teach you about SAR systems, which are essential in getting a real time satellite view of Earth regardless of clouds and other weather conditions. All this knowledge is something that a lot of universities fail to provide.  

Applying AI-Powered Pattern Recognition 

Another important field of study is learning how to use AI to detect landscape changes and other patterns. If your university can’t teach you, ODL programs certainly can. 

• They demonstrate how to use convolutional neural networks to identify anomalies in the images you access.
• ODL courses use models of archaeological sites to provide practical demonstrations and show what to look out for as you do your research. 
• Students using the ODC models learn how to apply AI change detection algorithms to observe landscape shifts in real time.

Just using ChatGPT is not enough. AI provides numerous valuable opportunities to everyone studying archaeology, and ODL is a cheap and sure way to embrace them.      

Conducting Virtual Excavations from Anywhere in the World

Apart from teaching how to explore satellite images in real time, ODL courses offer virtual excavations. Students can conduct comparative studies across time, reconstruct ancient landscapes, and even publish their discoveries in relevant journals. Such experiences demolish any geographical and financial barriers, so you can start exploring the sites just with an Internet connection.    

Embracing New Archaeological Opportunities

ODL programs have become the saving bridge between archaeological students and growing opportunities for research and exploration. They have democratized access to the most advanced tools like AI and the best real time satellite images, which inspired the birth of a new generation of archaeologists. 

In 2026, thanks to ODL, it doesn’t matter where you are located and how big your budget is. You can start contributing to our global heritage research today; just find the program you’re interested in and start your explorations.  

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Inequality and Urbanism

Today’s cities are hotbeds of inequality. Urban real estate is one of the most expensive kinds of land in the world. It attracts billionaires looking to store their wealth and hedge funds looking to garner predictable returns: New York’s avenues, Paris’s thoroughfares, and Dubai’s dazzling skyscrapers are great at making the rich richer. But they raise the cost of urban life for everyone else.

And yet, plenty of people who are not rich flock to cities, driving the ongoing expansion of urbanism across the globe. In the 21st century, humans became an urban species, with more than 50 percent of the global population living in urban areas. This is because the benefits of living in a city—the opportunities provided by dense networks of interaction, cultural production, and heaps of concentrated resources—outweigh the immense cost of urban life. Inequality is the price we pay for the myriad opportunities that cities bring.

But what if we don’t have to pay this cost? Archaeological evidence from South Asia is rewriting that story of urbanism. My new article in Antiquity reveals that inequality was low in one of South Asia’s first cities and that it decreased as its citizens prospered.

The Measure of an Ancient City

In 2021, I joined the GINI Project, a working group devoted to investigating the long-term dynamics of inequality using archaeological data, a project supported by the Coalition for Archaeological Synthesis.

The idea was to systematically compare evidence from archaeological sites like Mohenjo-daro, an early city that seemed to defy the tradeoffs of urbanism, with comparable data from other time periods, to better understand why inequality is skyrocketing today.

The GINI project adopted the “Gini coefficient,” an economic statistic that captures the level of inequality within the distribution of a particular variable, like income or wealth, in a given population. When all the wealth or income is concentrated in a tiny portion of the population, you get a Gini coefficient of 1. When it’s more evenly distributed, you get a Gini coefficient closer to 0. Archaeologists often apply the Gini coefficient to house areas, which provide a reasonable, but far from perfect, proxy of wealth or income within a given society.

I collaborated with Cameron Petrie and Iqtedar Alam, both based at the University of Cambridge, to measure all of Mohenjo-daro’s 309 excavated houses, contributing these measurements to the GINI database, which includes similar measurements from more than 50,000 residences found throughout the archaeological record. These measurements, and the Gini coefficients we can get from them, tell a striking story.

Every House a Palace
Mohenjo-daro was built more than 4,000 years ago in what is today the Sindh Province of Pakistan. It was one of the first cities in the world, emerging after a 1,000 years of village development throughout the broader Indus River Basin, forming part of the expansive Indus (or Harappan) civilization, which stretched from the Arabian Sea to the foothills of the Himalaya.

Excavations at the Mohenjo-daro began nearly a 100 years ago, uncovering the foundations of hundreds of structures arranged along wide streets. What archaeologists found astonished them—a massive public bath, the foundations of an assembly hall, and huge foundation platforms that could have provided a defense against Indus River flooding.

But it was the city’s numerous houses—replete with second stories and private bathing platforms—that made the biggest impression. The first-ever report on the archaeology of the Indus civilization opens with a description of Mohenjo-daro’s “commodious” and “well-built” houses, which rivaled the palaces seen in Egypt or Mesopotamia. Excavators have documented more than 300 residences from Mohenjo-daro, some dating to the earliest phases of the city’s development.

Further research has revealed that the people who built these houses were masters of Bronze Age technology, producing a huge range of sophisticated objects, like small statuettes, beads and bangles, which could be widely distributed amongst its populace. As I’ve argued elsewhere, there is tons of qualitative evidence that Mohenjo-daro reaped the benefits of urbanism without creating a massive wealth gap between houses.

Ever More Equal

By the numbers, Mohenjo-daro was far more equal than other ancient cities. If you calculate a Gini coefficient from all 309 houses at Mohenjo-daro, you get 0.44. We can compare that number to other ancient cities in the GINI database, like that from Knossos in Ancient Greece, famous for its palaces, where the Gini coefficient was a striking 0.86, or Ur and Ugarit in neighboring Mesopotamia, where Gini coefficients were greater than 0.60. The city clearly followed a different trajectory than many others.

However, 0.44 is pretty far from 0; does it really support the idea that Mohenjo-daro was egalitarian?

Comparing the oldest houses to the newest ones reveals an even more interesting story. Mohenjo-daro’s earliest houses, those found in the deepest levels of its DK-G South Neighborhood, had a Gini coefficient of 0.39. These date to the earliest periods of the city’s occupation, perhaps around 2500 BC. Each subsequent wave of house construction lowered the Gini coefficient, and by the city’s latest levels, its Gini coefficient was only 0.23, the same as we find in the world’s earliest farming villages.

Mohenjo-daro was not only more egalitarian than other ancient cities, it also became more equal over time.

Governing an Egalitarian City

We don’t know exactly how Mohenjo-daro’s citizens kept a lid on inequality. Was it an effect of the broader economic system, which perhaps gave all the city’s residents equivalent access to land and fuel for making bricks? Was it more active, perhaps with communities placing an upper limit on the size of residences, or punishing people who tried to make ostentatious houses? We can’t say for sure.

What we do know is that there is strong evidence for governance at Mohenjo-daro. Its houses used the same brick ratios—a level of standardization unprecedented in the Bronze Age. And the city’s houses were full of standardization stamp seals, tools for carrying out different kinds of economic transactions, as well as weights and measures.

These small tools had big effects, facilitating trade and communication across an expansive area. This penchant for setting and agreeing to shared protocols is evident in Mohenjo-daro’s infrastructure as well. The city boasted one of the world’s earliest systems of public drainage, and its houses conformed to a public street plan. This street plan developed over time. At the same time, the Gini coefficient of houses decreased. It does not seem far-fetched to suggest that the same set of rules produced the city’s street plan and leveled differences between residences.

There is also evidence that governance was inclusive or democratic. Public structures, like the Pillared Hall, which could have allowed hundreds of people to deliberate and make decisions about the city, likely helped facilitate this governance, perhaps providing a forum for discussing the distribution of residence area within the city. Archaeologists are becoming more and more aware of such early forms of democratic governance across the globe.

Prospering in a Fairer Society

Mohenjo-daro’s declining inequality also correlates with an increase in the median size of houses, a proxy for productivity in past societies. As inequality dropped, the total resources people could invest in their housing increased. The city appears to have prospered, a pattern corroborated by claims that later levels at Mohenjo-daro have more evidence for craft production than earlier levels. Ensuring that public goods were maintained and ensuring equitable access to housing seems to have been deliberate.

Still, I don’t think Mohenjo-daro’s declining Gini coefficient was an accident—it’s far more likely that its communities made rules that actively shaped the distribution of housing in the city, and that those same rules channeled labor and resources into goods that could be enjoyed by everyone.

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This article is distributed in partnership with the Coalition for Archaeological Synthesis and has been published on its website.

Cover Image, Top: Mohenjo-daro. Saqib Qayyum, CC BY-SA 3.0, Wikimedia Commons

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Fundação de Amparo à Pesquisa do Estado de São Paulo—The Indigenous peoples of South America are descended from three waves of migration. According to a study conducted exclusively by researchers from the continent, one of these waves, which is most represented in the current population, came from Mesoamerica around 1,300 years ago. This finding reveals the greater complexity of the history of Indigenous peoples and their greater genetic diversity than previously anticipated. The research is featured on the cover of the May 7 issue of the scientific journal Nature. “We reached these conclusions through very intensive collaborative work,” says Tábita Hünemeier, a geneticist at the Institute of Biosciences at the University of São Paulo (IB-USP) in Brazil. She coordinated the study, on which she has been working for over a decade, and was surprised by the higher-than-expected genetic diversity.

University of Sydney—Long-distance migration along Peru’s Pacific coast began at least 800 years ago, centuries before the rise of the Inca Empire and much earlier than previously thought, a new international study reveals. 

By analyzing ancient DNA (aDNA) alongside archaeological and historical data, the study* provides some of the strongest evidence to date of population movement along the Pacific coast prior to Inca rule (AD 1400 to 1532), demonstrating that pre-Inca coastal communities were far more mobile and connected at local and interregional scales than historically believed. 

Published in Nature Communications, it suggests people travelled more than 700 kilometres from Peru’s north coast to the Chincha Valley in the south. Here, they settled and intermarried with neighbouring populations, while maintaining distinctive cultural traditions – such as cranial modification and painting the dead with red pigment – for generations. The study also identified a single grave containing relatives who engaged in endogamy, or close-kin procreation.  

“Migration and kinship have long been part of the human story and the development of powerful societies,” said co-lead author Dr Jacob Bongers, digital archaeologist and member of the Vere Gordon Childe Centre at the University of Sydney, and Visiting Research Fellow at the Australian Museum Research Institute.  

“What’s most interesting about this research is that it shows the close-knit and far-reaching social networks of pre-Inca coastal communities, as well as how people maintained cultural traditions of marking group identities for centuries, even as they intermarried with distinct groups,” he said. 

Tracing ancient movement and mating patterns through aDNA  

The research team analysed aDNA samples of 21 individuals recovered from burial sites in the Chincha Valley to reconstruct family relationships and explore genetic diversity over time.  

“The genome-wide data and radiocarbon dates suggest migrants arrived in the Chincha Valley by at least the thirteenth century AD, well before Inca expansion,” Dr Bongers said. “Their ancestry traced back to the Peruvian north coast, more than 700 kilometres away, and the aDNA of these early migrants revealed no evidence of mixing with local populations.” 

Genetic evidence revealed mixed ancestry between people from the north, central and south coasts over subsequent generations. “This likely means that, after northerners migrated to Chincha, they intermarried with groups from neighbouring coastal areas, a practice that continued during the Spanish Colonial Period (AD 1532-1825),” Dr Bongers said.  

Genetic and bioarchaeological data from the aDNA samples also indicated close-kin procreation.  

“The burial of family members together and the evidence for close-kin unions in the lower Chincha Valley highlights the importance of the familial unit for ancient Andeans,” said co-lead author Assistant Professor Jordan Dalton from the State University of New York, Oswego. 

“The close biological relationships suggest the sampled individuals were members of an ayllu or parcialidad, a traditional, kin-based group that shares common territory, resources and ancestry. Close-kin unions may have served as a strategic means of retaining control over resources within the group,” she said.  

Cultural traditions endured across centuries    

All sampled individuals had some north coast ancestry, demonstrating population continuity for at least 200 years. This coincides with persistent cultural traditions maintained in Chincha from at least the thirteenth to fifteenth centuries. 

“In the sampled individuals from the lower and middle valley we observed practices such as cranial modification, a process carried out in infancy to shape the head using boards and bindings, human vertebrae strung on reed sticks, and the postmortem application of red pigment to the skull,” Dr Bongers said.  

“Postmortem red pigment application and cranial modification are cultural traditions that have long been documented on Peru’s north coast, so this evidence shows migrants may have brought their body modification traditions south to mark group identities.” 

The timing of migration from northern Peru aligned with major social and political changes along Peru’s coast, yet the precise reasons for population movement remain uncertain, Dr Bongers said. 

“Climate hazards, the expansion of powerful northern polities such as the Chimú, and access to valuable resources including seabird guano, are all possible drivers of ancient Andean migration,” he said. 

“Importantly, this research expands our understanding of how and when interregional interaction occurred along the Andean Pacific coast and makes it clear the Inca incorporated highly mobile and deeply connected coastal communities into their empire.” 

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Map of the study area. A. Locations of the Chincha Valley and other Andean sites referenced in this study that yielded ancient DNA data. B. The archaeological sites under investigation for this study. Basemaps for panels A and B were obtained from the World Imagery dataset (https://www.arcgis.com/home/item.html?id=10df2279f9684e4a9f6a7f08febac2a9) and created with ArcGIS Pro v3.6.2. Sources: ESRI, Michael Bauer Research GmbH 2022, Instituto Nacional de Estadística e Informática (INEI), Earthstar Geographics, Vantor.  Credit: Basemaps for panels A and B were obtained from the World Imagery dataset (https://www.arcgis.com/home/item.html?id=10df2279f9684e4a9f6a7f08febac2a9) and created with ArcGIS Pro v3.6.2. Sources: ESRI, Michael Bauer Research GmbH 2022, Instituto Nacional de Estadística e Informática (INEI), Earthstar Geographics, Vantor.

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Aerial view of a cemetery in the middle Chincha Valley. Photo by Jacob L. Bongers.  Credit: Photo by Jacob L. Bongers.

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Aerial view of a cemetery in the middle Chincha Valley. Photo by Jacob L. Bongers.  Credit: Photo by Jacob L. Bongers.

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Article Source: University of Sydney news release.

*Bongers, J, L., Dalton, J. A., et al., ‘Ancient DNA reveals a family ossuary and long-distance migration on the Pacific coast before the Inca Empire’ (Nature Communications, 2026). Nature Communications, 22-May-2026. https://www.nature.com/articles/s41467-026-72216-y

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Universität Autonoma de Barcelona—Neanderthal populations in southern Europe collected shellfish throughout the year, with a marked preference for the colder months, according to a new international study led by researchers from the Institute of Environmental Science and Technology at the Universitat Autònoma de Barcelona (ICTA-UAB), the IsoTOPIK Lab at the University of Burgos (UBU), and the Instituto Internacional de Investigaciones Prehistóricas de Cantabria at the University of Cantabria (UC).

The research, recently published in the journal Proceedings of the National Academy of Sciences (PNAS), shows that 115,000 years ago Neanderthal groups from Los Aviones Cave (Cartagena, Region of Murcia, Spain) were already consuming molluscs following a clearly seasonal pattern, particularly during the colder months of the year, from November to April.

For decades, the ability of Neanderthal populations to adapt to coastal environments and exploit marine resources in an organised manner has been the subject of intense debate in archaeology and human evolution. Traditionally, the regular consumption of shellfish and seasonal planning were considered traits exclusive to our species, Homo sapiens. However, this recent finding challenges that paradigm.

The study analysed marine mollusc remains (including small gastropods and limpets) recovered from Los Aviones Cave at an unprecedented resolution. The results show that these populations not only collected shellfish sporadically but also possessed a deep understanding of marine ecological cycles, anticipating by thousands of years behaviours later documented in modern humans from the region.

But how is it possible to determine the season in which a mollusc was consumed thousands of years ago? The key lies in the oxygen isotopic signal preserved in the carbonate of their shells, as the incorporation of heavier or lighter oxygen isotopes depends primarily on seawater temperature. “By reconstructing variation during shell growth, these values act as a prehistoric thermometer. This makes it possible to infer temperature changes as well as the exact time of year when a mollusc was collected, revealing new details about seasonal consumption patterns,” explains Asier García-Escárzaga, lead author of the study.

The results represent a milestone, as they are the first obtained for such early stages of human evolution. “They consumed marine resources throughout the year, but with a very clear preference for winter and autumn months. This pattern, very similar to that developed by more recent populations of modern humans in Europe and other regions, cannot be coincidental,” García-Escárzaga explains.

Winter collection coincides with periods when certain mollusc species have higher meat yield and improved sensory qualities (flavour and texture) due to their reproductive cycles. In addition, Neanderthal populations may have avoided collecting shellfish in summer to minimise health risks, such as the proliferation of toxic algae (red tides) or the rapid decomposition of shellfish due to heat, demonstrating a conscious and safe management of marine resources.

These findings suggest that Neanderthals and modern humans may have been more similar than previously thought. The study highlights that this behaviour reflects a diversified diet incorporating high-quality marine proteins (rich in Omega-3 and zinc), which are essential for brain development and reproductive health. “What we see at Los Aviones is a fully modern subsistence strategy,” the authors state. This discovery reinforces the idea that Neanderthals possessed cognitive, social and economic capacities comparable to our own, establishing the Iberian Peninsula as a key region for understanding the complexity of our closest ancestors.

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Cueva de los Aviones, Cartagena, Region of Murcia, Spain.  Credit: ICTA-UAB

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Cueva de los Aviones, Cartagena, Region of Murcia, Spain, and specimens of limpets Patella ferruginea and gastropod Phorcus lineatus. Credit: ICTA-UAB

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Asier García-Escárzaga in the laboratory.  Credit: ICTA-UAB

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Laboratory analysis of a specimen of the gastropod Phorcus turbinatus.  Credit: ICTA-UAB

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Article Source: Universität Autonoma de Barcelona news release.

*Seasonal shellfish exploitation by Neanderthals 115,000 years ago, Proceedings of the National Academy of Sciences. 10.1073/pnas.2531880123 

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PLOS—Neanderthals had the know-how to identify a tooth infection and the motor skills to drill out the damage, according to a study published May 13, 2026 in the open-access journal PLOS One by Alisa Zubova of Peter the Great Museum of Anthropology and Ethnography, Russian Academy of Sciences (Kunstkamera), St. Petersburg, and colleagues.

Archaeological discoveries have shown that Neanderthals used toothpicks to remove food from their teeth and might also have used medicinal plants, but the extent of their medical capabilities is unclear. In this study*, Zubova and colleagues describe a Neanderthal tooth which received physical alterations to treat infection.

This tooth is a single molar from Chagyrskaya Cave in Russia, around 59,000 years old. In the center of the tooth is a deep hole extending into the pulp cavity. The researchers conducted experiments on three modern human teeth to demonstrate that a hole of the same shape and same patterns of microscopic grooves can be created by drilling into the tooth with a stone point similar to tools that have been found within Chagyrskaya Cave. The hole in this damaged molar, as well as toothpick grooves along the side of the tooth, is an example of a caries lesion in the same population, which is rare among Neanderthals.

This procedure would have hurt, but it would also have ultimately alleviated the pain of a tooth infection by removing the damaged part of the tooth. These modifications provide evidence that Neanderthals had the capacity to identify the source of pain, to determine how to treat it, to apply the manual dexterity needed for an efficient operation, and to endure painful treatment to alleviate future discomfort. This is the first time such behavior has been demonstrated outside of Homo sapiens, and it is the oldest example of such behavior by more than 40,000 years.

The authors add: “This finding currently represents the world’s oldest evidence of successful dental treatment. The damage documented on the Neanderthal tooth from Chagyrskaya Cave in Siberia points not only to intentional pulp removal but also to antemortem wear – wear that could only have developed if the individual kept using the tooth while alive. We also identified areas of demineralization where remnants of carious damage were preserved, further indicating that the concavity in the tooth was associated with treatment.”

Alisa Zubova adds: “We were intrigued by the unusual shape of the concavity on the tooth’s chewing surface. It differed from the normal morphology of the pulp chamber and did not match the typical pattern of carious lesions seen in Homo sapiens. Moreover, distinctly visible scratches suggested that the concavity was not the result of natural damage but of intentional actions.”

“Computed microtomography revealed changes in dentin mineralization consistent with severe caries. Human manipulation of carious lesions has already been documented for the Upper Paleolithic, Mesolithic, and later periods. We therefore hypothesized that the damage we observed could also represent traces of such medical intervention – but from a significantly earlier period.”

Lydia Zotkina adds: “To interpret the concavity on the occlusal surface of the tooth, we conducted experimental manual drilling on a series of specimens: a modern human tooth and two Homo sapiens teeth from a Holocene archaeological collection of uncertain temporal and cultural provenance. Comparison of the microscopic traces on the original Neanderthal specimen with those produced experimentally revealed a clear match. The findings demonstrate that drilling a carious lesion using a sharp, thin stone tool is entirely effective, permitting the rapid removal of damaged dental tissue.”

Ksenia Kolobova adds: “Neanderthals arrived in this region 70–60 thousand years ago during a migration from Central and Eastern Europe and inhabited it until at least 40–45 thousand years ago. Altai became a new and suitable home for them thanks to its biological diversity, climate similar to that of Europe, abundant raw materials for stone tool production, and their usual prey – wild bison and horses. Analysis of stone tool industries and paleogenetic studies have shown that the Neanderthals from Chagyrskaya Cave are very closely related to the bearers of the so-called Micoquian industry, who also lived in the Caucasus and Crimea.”

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Chagyrskaya 64 molar tooth and its macro-features: General view of the tooth in five projections.  Credit: Zubova et al., 2026, PLOS One, CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/)

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Chagyrskaya Cave, southwestern Siberia, Russia. a. cave location map (created in ArcGIS software, using open data from https://www.usgs.gov/products/maps accessed on December 15, 2021); b. stratigraphic sequence with Chagyrskaya 64 molar discovery location indicated in orange; c. general view of the cave; d. discovery location of the Chagyrskaya 64 molar in situ in Layer 6c/2.  Credit: Zubova et al., 2026, PLOS One, CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/)

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Article Source: PLOS news release.

*Zubova AV, Zotkina LV, Olsen JW, Kulkov AM, Moiseyev VG, Malyutina AA, et al. (2026) Earliest evidence for invasive mitigation of dental caries by Neanderthals. PLoS One 21(5): e0347662. https://doi.org/10.1371/journal.pone.0347662

Chinese Academy of Sciences Headquarters—Scientists from the Institute of Vertebrate Paleontology and Paleoanthropology (IVPP) of the Chinese Academy of Sciences have uncovered new information suggesting a potential connection between Homo erectus and modern humans, while also developing new, less invasive paleoproteomics methods of fossil research.

Homo erectus, or H. erectus, was the first species within the genus Homo to leave Africa, occupying a key position in human evolutionary history. However, due to the lack of molecular evidence from H. erectus, their genetic characteristics, population diversity, and especially their potential connections to modern humans remain unresolved. As a result, the role of H. erectus represents a major mystery and a focal point of debate in human evolution.

Molecular research on H. erectus remains has been limited because ancient human fossils are irreplaceable and a precious cultural heritage. For this reason, traditional destructive sampling methods are unacceptable and have long constrained the progress of relevant molecular research.

Now, however, the research team, led by FU Qiaomei from IVPP in collaboration with multiple institutions, has overcome this bottleneck by employing a micro-destructive sampling approach based on acid etching to recover molecular information from six Homo erectus teeth without damaging their morphology.

The team’s findings were published online in Nature on May 13*.

The article was also accompanied by a concurrent commentary in Nature, which highlighted the role of enamel proteins from these six H. erectus teeth from China in providing “new insights into how ancient genetic material was eventually introduced into modern human populations.” 

The researchers identified two mutations from the fossil teeth, dating back to at least 400,000 years ago, from three different sites—Zhoukoudian (Peking Man), Hexian, and Sunjiadong. The mutations suggest genetic links between East Asian H. erectus and Denisovans, which themselves are linked to modern humans.

The first is the previously unknown AMBN-A253G mutation, which was identified as a potential molecular marker associated with these H. erectus populations. It provides the first evidence that H. erectus specimens from these three sites belonged to the same evolutionary population.

The second is the AMBN-M273V variant, previously thought to be specific to Denisovans. However, this study reveals that this variant is not unique to Denisovans but is shared by these H. erectus populations.

According to the researchers, the second variant may have entered the Denisovan lineage through admixture and was subsequently passed to some modern human populations (in Southeast Asia and Oceania) via Denisovan introgression. This provides the first insights into a possible connection between East Asian H. erectus (such as those from Zhoukoudian) and Denisovans, as well as the potential deep genetic links to some present-day modern humans.

Additionally, the study establishes a suite of new experimental and computational methodologies, including a sex determination method for ancient hominins based on the male-specific enamel protein AMELY, a cross-validation approach using tandem mass spectrometry and multiple data analysis pipelines, and DNA analysis methods linked to specific amino acid variants. Together, these tools provide a new framework for systematic paleoproteomics research.

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A cartoon illustration of the AMBN enamel protein.  Credit: Image by IVPP

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Article Source: Chinese Academy of Sciences Headquarters headquarters.

*Enamel proteins from six Homo erectus specimens across China, Nature, 13-May-2026. 10.1038/s41586-026-10478-8 

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Have you ever wondered when horse racing actually started? We’re not talking about the modern horse racing world, but the moment when two humans decided that they could race their horses to see who was fastest.

It turns out that horse racing is way older than most people think. In fact, many people consider horse racing to be thousands of years old, and ancient civilizations also loved this sport.

How do we know this? Well, because of archaeology, we uncovered ruins of tracks, carvings, and ancient texts pointing to an exciting horse race. If we put all the small cues together, the story becomes crystal clear.

So, how old is horse racing? Let’s find out.

It Didn’t Start as “Sport”

If we’re trying to find horse racing events like the Kentucky Derby in the past, we’re looking at it with distorted lenses. Ancient racing wasn’t really about entertainment. At least not in the beginning.

In early civilizations like Ancient Egypt and Mesopotamia, horses were primarily used for war, transport, and status. Yes, speed was important, but not because they would be draped in flowers or win an award, but because the horse’s speed can make a real difference in battles.

So, what does this mean? Well, early “races” were often tied to training or demonstrations. In early civilizations like the ones mentioned, we cannot find structured racing. Yes, horses were bred and trained, but nobody gathered around a racetrack to watch a race and place a bet on the horse they thought would win the race.

Modern horse racing is all about entertainment and betting. Just take a look at the Triple Crown races, including the Kentucky Derby, Preakness Stakes, and Belmont Stakes. People cannot wait for big races to place some Preakness bets. It is how the sport is structured, and honestly, it works perfectly for the modern world.

But during times of war, food scarcity, and lack of transportation, horses were used for other things.

In ancient civilizations, they tested the horse’s speed just because warriors needed only the fastest and most controllable horses.

Chariot Racing Was the First Real “Spectacle”

So, when can we see the first traces of organized horse racing? Well, that would probably be the time when chariot racing became a thing. We’re talking about a time when Ancient Greece and later Ancient Rome were dominant.

This was the first time horses were used as a form of entertainment. Honestly, during these times, we can see the biggest rise in culture. We’re talking about art, philosophy, crafts, and leisure activities. In other words, they had better things to do than fight each other and conquer all the time.

During these times, entire stadiums were built around racetracks, crowds gathered in huge numbers (maybe even more than the Kentucky Derby), and people even supported specific teams or factions.

Yes, even betting was involved, but not like placing a bet on TwinSpires through a phone, but more like trading bets where people usually bet using livestock and later silver coins.

Archeologists have found large arenas like the Circus Maximus in Rome, which could hold over 100,000 spectators. This alone is enough to give you an idea about the importance of these races. Yes, there were gladiator fights too, but chariot races were also really popular.

On top of that, chariot races have never been like a side activity but usually the main event.

Organized Racing Started Earlier Than You’d Expect

For a long time, people assumed that structured horse racing was a relatively recent development.

But archaeological evidence suggests otherwise.

In Ancient Greece, horse racing was already part of the Olympic Games as early as 648 BCE. That means there were rules, events, and recognized competition formats thousands of years ago.

This is where things start to look a lot more like modern racing.

It wasn’t random anymore. It was organized.

Breeding and Training Were Already Advanced

Most people don’t know that ancient civilizations weren’t just racing horses, but they were actually breeding them. And not in a random order, but carefully, strategically, and planned. They really understood horse genetics and found out that through breeding, they can produce faster and more endurant horses.

There are archaeological records that show that certain regions were known for producing stronger or faster horses. Why? Well, it’s all thanks to selective breeding, and that has been around for thousands of years.

Over the years, there is proof that training methods have advanced, and horses were conditioned for endurance (mainly), but also speed, control, and all depending on their purpose.

Racing Was Also About Entertainment (Eventually)

Over time, the purpose of racing shifted.

What started as a functional test, speed, and control slowly became entertainment. And all of this happened naturally. People had more time to explore things, and since horses were around them, they started to experiment, and it worked.

By the time you reach Ancient Rome, racing is no longer just about performance.

It’s about spectacle.

Crowds gather, bets are placed informally, and rivalries form. Some charioteers became famous in their own right, almost like early sports celebrities. And this is where you start to see the foundation of modern horse racing culture.

These races became competitive, the audience loved them, and most importantly, they were exciting to watch. Everything we can say about today’s horse racing culture. So, horse racing is a sport that has been around for thousands of years, and we really have to appreciate that.

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Cover Photo, Above:  by Samir Smier

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A fragment of bone. A crumbling tooth. A pressed leaf in stone. These small things carry enormous secrets — if you know how to ask the right questions. For centuries, scientists guessed ages based on rock layers and gut instinct. Today, artificial intelligence powered by advanced mathematics is changing everything about how we understand ancient fossils and remains.

The results are stunning. What once took years now takes days.

Why Dating Fossils Is So Hard

Fossils don’t come with labels. A skull pulled from a riverbank could be 10,000 years old or 2 million. Traditional methods like radiocarbon dating work well — but only up to about 50,000 years. Beyond that threshold, the math gets messy and the margins of error balloon.

Older remains require different tools entirely. Uranium-lead dating, potassium-argon analysis, thermoluminescence — each method has its own equations, assumptions, and blind spots. Getting it right demands extraordinary precision.

The Numbers Behind the Science

The scale of improvement is hard to ignore. A 2022 study published in Nature found that AI-assisted dating reduced age estimation errors by up to 40% compared to traditional methods alone. That’s not a minor tweak — that’s a fundamental leap.

Researchers at the Max Planck Institute have used neural networks to analyse ancient DNA degradation patterns, dating specimens with a margin of error as small as ±200 years on remains over 100,000 years old. Numbers like these were unthinkable a decade ago.

Isotope Ratios and Pattern Recognition

Here’s what makes AI genuinely remarkable in this context. Isotope ratios — the relative amounts of certain chemical elements preserved in bone — shift in predictable ways over time. But the patterns are subtle. Noise in the data hides them easily.

AI doesn’t get tired. It doesn’t overlook a faint signal buried in 10,000 data points. Convolutional neural networks trained on verified fossil datasets can now identify isotopic signatures with accuracy that exceeds even experienced laboratory technicians.

A Quick Word on Math Solvers

The underlying all of this is raw mathematical computation – differential equations, a statistical model, matrix algebra. A picture solver will be able to do these calculations. Some researchers have even found they can develop new dating equations by using a general-purpose math picture solver to speed up their development process, reducing the development time from months to days. Human productivity can be improved and errors can be minimized with the use of a maths solver.

When Math Meets Machine

Artificial intelligence stepped in about a decade ago. Shyly.

Now it runs the show. Modern machine learning gulps data—thousands of measurements from mass spectrometers, images of microscopic wear on teeth, chemical signatures from soil. It spots patterns no human would catch. Ever.

Consider a pile of ancient fossils from a cave in France. A neural network can sift through the radiocarbon dates, the stratigraphy, the snail shells and charcoal, and produce a timeline tighter than a drum. It does in hours what took a researcher a year. Blinks, really.

Stratigraphy Gets Smarter

Stratigraphy — the study of rock and soil layers — has always been foundational to fossil dating. Older layers sit deeper. Simple in theory. Complicated in practice, because geological events shift, fold, and flip those layers constantly.

AI systems trained on regional geological data can now reconstruct likely stratigraphic histories from fragmented evidence. They model how layers moved, eroded, and redeposited over millions of years — giving fossils found in disturbed sites a far more reliable chronological home.

Ancient Human Remains: A Special Case

Dating human remains carries particular weight. It rewrites family trees. It challenges accepted timelines of migration, evolution, and civilization. The stakes are high, and errors have real consequences.

AI has already revised several key dates. Remains found in Laos, initially estimated at around 45,000 years old, were re-examined using AI-assisted isotope modelling. The revised estimate: closer to 68,000 years. That single correction shifted scientific understanding of early human migration routes through Southeast Asia.

The Data Problem

AI is only as good as the data it learns from. Early fossil databases were inconsistent — different labs used different standards, different notation systems, different error reporting conventions. That created real problems for early machine learning models trained on those records.

Efforts like the Paleobiology Database and the NEOTOMA Paleoecology Database are working to standardise this. As data quality improves, AI dating accuracy climbs with it. The two advances are inseparable.

What Comes Next

Portable AI dating tools are already in development. Field researchers may soon carry handheld devices capable of running preliminary isotope analyses on-site — giving a rough age estimate before a fossil ever reaches a laboratory. That would revolutionise how excavations are planned and prioritised.

The combination of ancient fossils and remains with cutting-edge mathematics is no longer a novelty. It is rapidly becoming the standard.

Final Thought

So how does math AI help date ancient fossils and remains? Quietly. Fundamentally. It’s not flashy. No dinosaur roar. It’s the difference between a blur and a portrait. Between somewhere around then and exactly this winter, 41,200 years ago.

A bone in the hand becomes a voice. A tooth becomes a timestamp stamped in amber. The past gets its chronology back. And we, the curious, finally get to listen.

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Archaeology used to mean years of painstaking brushwork, sun-beaten fieldwork, and mountains of paper records. That image is changing — fast. Artificial intelligence has entered the discipline, and it is reshaping every stage of the process, from choosing where to dig to making sense of what comes out of the ground.

The numbers tell a striking story. A 2023 report from the Alan Turing Institute found that AI-assisted site detection reduced survey time by up to 60% compared to traditional ground surveys. That is not a minor improvement. That is a transformation.

Seeing What Human Eyes Miss

The availability of satellite images to archaeologists has not been new in the decades. It was never a question of interpretation, a trained analyst could only look at a limited number of images in a day. The equation is completely altered by AI.

Machine learning algorithms are now able to scan thousands of square kilometers of landscape data in hours and flag anomalies which may indicate buried structures. A team utilizing deep learning algorithms in 2022 discovered more than 300 previously unknown Nazca Lines in Peru in just a few months. Researchers had been searching for almost a hundred years to locate the ones that are already known. 

Ground-Penetrating Radar Meets Neural Networks

GPR Ground penetrating radar (GPR) is a long-standing non-invasive tool used to map the subsurface. In isolation, it generates complicated wave-form data which must be interpreted by an expert. Together with AI, it is transformed into something quite different.

The neural networks trained with GPR datasets are now able to recognize the likely locations of burials, walls, and voids with an accuracy of over 85% in controlled experiments. This is of utmost importance in places where excavation will result in irreversible damage. Preserve first. Dig when there is a necessity to dig.

The Excavation Site Goes Digital

Once digging begins, AI does not step back. It steps in. Photogrammetry software powered by computer vision can generate precise 3D models of an entire excavation trench in under an hour, capturing spatial relationships that once took weeks to document by hand.

These models are not just records. They are working tools. Researchers can revisit a virtual dig site years later, rotate it, slice through it, and re-examine stratigraphic layers that have long since been removed.

Talking Through Discoveries in Real Time

Archaeological fieldwork is often remote, isolated, and logistically complicated. Teams working in separate locations on the same project need fast, reliable ways to share findings and debate interpretations. Increasingly, researchers use anonymous group chats to discuss sensitive pre-publication discoveries without risking intellectual exposure. This matters more than it might seem. A premature leak about an important find can trigger looting. 

But there’s another reason to use video chat: familiarizing people with important facts. For example, if it’s been established that ancient tribes lived in a certain area, it’s quite easy to find people from that location. People are now actively using the CallMeChat platform, which connects people from different locations. This allows for consultations, explaining the importance of paying attention to antiquities, and for archaeologists themselves, identifying promising excavation sites in real time.

Artifact Classification at Scale

A single excavation season can produce tens of thousands of ceramic sherds, lithic fragments, and bone samples. Traditional classification is slow, inconsistent, and dependent on the expertise of whoever happens to be available. AI does not get tired.

Computer vision models trained on catalogued museum collections can now classify ceramic types, identify manufacturing techniques, and even suggest regional origin — all from a photograph. A 2021 study published in the Journal of Archaeological Science showed that a convolutional neural network matched expert human classification accuracy at 91% on a dataset of over 20,000 pottery fragments. One system. Consistent results. Every time.

Reading the Unreadable

Some of archaeology’s most tantalizing material is also its most inaccessible. Damaged manuscripts, corroded inscriptions, and fire-blackened tablets have resisted decipherment for generations. AI is beginning to crack them open.

The Vesuvius Challenge, launched in 2023, used machine learning to read carbonized papyrus scrolls from Herculaneum — scrolls so fragile they could not be physically unrolled without disintegrating. Within months, researchers had recovered hundreds of readable Greek words. A text buried since 79 AD. Recovered by an algorithm.

Bioarchaeology and the DNA Revolution

AI is not only working on objects. It is working on people — or rather, on what remains of them. Ancient DNA analysis has exploded in the past decade, but the datasets it generates are enormous and complex.

Machine learning tools now identify genetic markers, map migration patterns, and detect signs of disease across hundreds of skeletal samples simultaneously. Population movements that once took years to reconstruct from fragmentary burial evidence can now be modeled in weeks. Archaeology is becoming, in part, a data science.

The Ethical Weight of All This Power

Speed and capability bring complications. Who controls the AI models? Who owns the training data, often derived from collections held in Western institutions but originating in post-colonial contexts? These are not abstract questions.

Indigenous communities increasingly demand a voice in how AI is used to interpret their ancestral remains and cultural objects. Some researchers argue that the very efficiency of AI risks turning archaeology into an extraction industry — faster, yes, but potentially less careful about meaning, context, and community.

Predictive Modeling and the Future of Survey

Before a shovel touches earth, AI models can now estimate the probability of finding significant deposits in any given grid square. These predictive models pull from soil type data, historical land use records, topographic maps, and previous excavation results.

In the Netherlands, predictive archaeological modeling has been standard practice in urban development planning since the early 2000s. AI has made those models dramatically more accurate. Developers know where to dig carefully before a single foundation is poured.

What AI Cannot Replace

Let this be clear. AI does not understand context the way a seasoned archaeologist does. It does not feel the significance of finding a child’s toy beside a burial. It does not ask the questions that matter most: Why here? Why this? What did this mean to the people who made it?

Technology is a tool. An extraordinary one. But the intellectual and ethical work of archaeology — the interpretation, the humility, the conversation with the past — remains stubbornly, necessarily human.

A Discipline in Transition

Archaeology in 2025 looks nothing like archaeology in 2000. The pace of discovery has accelerated. The methods have multiplied. The data has exploded beyond what any individual researcher could process in a lifetime.

AI has not replaced the archaeologist. It has expanded what one person, one team, one generation can know. That is remarkable. And the best of this work is still ahead.

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