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Billion-dollar coffins? New technology could make oceans transparent and Aukus submarines vulnerable | Australian military

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Military history is littered with the corpses of apex predators.

The Gatling gun, the battleship, the tank. All once possessed unassailable power – then were undermined, in some cases wiped out, by the march of new technology.

Speed and stealth and firepower,” the head of the Australian Submarine Agency, Jonathan Mead, told the Guardian two years ago of Australia’s forthcoming fleet of nuclear submarines. “The apex predator of the oceans.”

But for how much longer?

In the first quarter of the 21st century, nuclear submarines have proven a formidable force: essentially undetectable deadly attack weapons. Some also carry a vital “second-strike” deterrent effect: any attack on a country armed with nuclear-powered submarines is made with the knowledge that retaliation is certain – from a warship hidden beneath the waves.

But a drumbeat of declarations – much of it speculative but most of it from China, the very nation the Aukus pact was established to counter – report rapid developments in submarine-detection technologies: vast networks of acutely sensitive sonar arrays; quantum sensing; improved satellite tracking able to spot tiny perturbations in the ocean’s surface; technologies that detect minute disturbances in the Earth’s magnetic field; real-time AI processing of vast reams of data.

Could emerging technologies render the last opaque place on Earth – the oceans – transparent?

It may not be so binary, the oceans may become, in parts, less impenetrable: key contested sea lanes and littoral areas may be intensely surveilled, while remote, deep trenches remain arcane.

Forecasting a future conflict is fraught. But the consequences for Australia, having dedicated an extraordinary $368bn towards its Aukus nuclear submarine fleet, are immense: will the apex predator of today become the prey of tomorrow?

One brutal assessment put it in stark terms, Australia’s fleet of nuclear-powered submarines may end up being “billion-dollar coffins”.

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What is Aukus pillar one?

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Pillar one of the Australia-UK-US (Aukus) agreement involves Australia being given the technology to command its own fleet of conventionally armed, nuclear-powered submarines. There are two stages:

• First, Australia will buy between three and five Virginia-class nuclear-powered submarines from the US, the first of these in 2032. But before any boat can be sold to Australia, the US commander-in-chief – the president of the day – must certify that the US relinquishing a submarine will not diminish its navy’s undersea capability. The US submarine fleet now has only three-quarters of the submarines it needs (49 boats of a force-level goal of 66). And there are significant concerns the US cannot build enough submarines for its own needs, let alone any for Australia.

• Second, by the “late 2030s”, according to the “optimal pathway” outlined in Australia’s submarine industry strategy, the UK will launch the first specifically designed and built Aukus submarine for Britain’s Royal Navy.

The first Australian-built Aukus submarine, for the Royal Australian Navy, will be in the water “in the early 2040s”. Australia will build up to eight Aukus boats, with the final vessels launched in the 2060s.

Each of Australia’s nuclear submarines is forecast to have a working life of about three decades. Australia will be responsible for securing and storing the nuclear waste from its submarines – including high-level nuclear waste and spent fuel (a weapons proliferation risk) – for thousands of years.

Aukus is forecast to cost Australia up to A$368bn to the mid-2050s.

Photograph: Colin Murty/AFP

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Underwater arms race

There is an arms race under way underwater, dedicated to perfecting the technologies that can find submarines, and finding new ways to keep them hidden.

Vast resources are being poured into improving detection technologies and developing new ones: drones, sonobuoys, satellites, magnetometers, quantum sensors. All seek to shrink the spaces where submarines can hide.

Everything is being monitored: the tiniest disturbance in waves across vast stretches of ocean, fractionally altered sea temperatures, faint magnetic disturbances, bioluminescent trails – each could give a tiny clue to a submarine’s path. Combined, they could reveal precisely where it is.

Allied to the extraordinary data-processing power of artificial intelligence, these present a formidable threat to submarines’ invisibility. AI programs are able to cut through the “noise” of masses of information, spotting unseen patterns or finding connections between disparate pieces of data, imperceptible to a human analyst.

Much of the technological advancement is being driven by China.

Submarines, made of metal, cause tiny distortions in the Earth’s magnetic fields as they move through the water, changes increasingly detectable to sophisticated magnetometers.

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Last year a research team from Shanghai Jiao Tong University reported the development of a new seabed sensor able to detect the faint electromagnetic waves generated by a rotating submarine propeller from nearly 20km away, about 10 times the previous detection range.

And in a peer-reviewed study published in December, researchers in Xi’an claimed to have developed an airborne magnetometer that can track the persistent trace of a submarine’s magnetic wake.

Quantum sensors, which can detect infinitesimally small perturbations in the environment at an atomic level, promise even greater sensitivity and accuracy.

In April scientists from the China Aerospace Science and Technology Corporation said they had developed a drone-mounted quantum sensor system that could track submarines with pinpoint accuracy. They claim the coherent population trapping atomic magnetometer is as sensitive as the MAD-XR system used by Nato countries but far cheaper, and so able to be deployed at a massive scale.

These are the technologies that are known about but, as Dr Anne-Marie Grisogono of Flinders University points out, if an adversary had a technology to accurately detect submarines, would it tell anyone?

The arms race is, of course, accelerating on both sides – designers are working on counter-detection measures to make submarines ever more covert: anechoic tiles to defeat or confuse sonar; cooling systems to weaken detection by thermal imaging or infrared detection by satellites; “degaussing” submarines to reduce magnetic signatures; and using pump-jet propulsors to produce less wake.

‘We should be asking bigger questions’

Grisogono was a co-author of the 2020 report Transparent Oceans, which argued that by the 2050s – as new Australian Aukus boats continued to be sent to sea – nuclear submarines “will be able to be detected in the world’s oceans because of the evolution of science and technology”.

She told Guardian Australia this year: “The likelihood that the oceans will become transparent at some time is basically 100%, it’s just in what time frame.

“And they could become transparent much sooner. We’ve seen tremendous advances in artificial intelligence … an accelerant for all of these detection technologies that we are seeing developed.”

Grisogono argued that it may not be one technology that renders submarines detectable. She can envisage a future of “underwater meshes of networked sensors” using different technologies, all of which are expendable and none of which is critical to the network functioning.

“It’s an adaptive mesh of cheap components, and importantly, it’s a distributed system, so you can’t really take it out,” she said. “You can lose quite a lot of them and still have a functioning network … and it’s cheap.

“If your defensive system is really cheap and can take out really expensive assets from your opponent … the advantage is now to the defence, not to the attack.”

Grisogono said Australia should use the opportunity before too much is committed to Aukus to re-evaluate its capacity, not to fight a war in 20 years but in 30, or 40, or 50.

“We should be asking bigger questions about our defence posture,” she said. “I think acquiring these nuclear-powered submarines really only makes sense if you’re wanting to contribute and join into much bigger conflicts in the region with the US.

“Perhaps when the decision was first taken, the logic of Aukus might be defensible in some way. But does that still stand up now?”

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‘We are very confident’

On a rainswept dock in Sydney this week, the Australian government announced it had committed $1.7bn towards buying “dozens” – precisely how many is classified – of Ghost Shark autonomous underwater vehicles.

Ministers Richard Marles and Pat Conroy pose for photos in front of a Ghost Shark in Sydney in Wednesday. Photograph: Kym Smith/ADF/AFP/Getty Images

Essentially an uncrewed submarine powered by AI, the Ghost Shark, the government says, will be able to “conduct intelligence, surveillance, reconnaissance and strike at extremely long distances from the Australian continent”. With each one about the size of a minibus, they can be deployed from warships or launched off the coast.

The Guardian asked the defence minister, Richard Marles, whether the investment was a “hedge” against a future where crewed submarines were detectable.

“We are very confident about Australia’s future submarines being fundamentally critical to Australia’s military capability,” Marles responded, saying the Ghost Sharks would “complement” crewed nuclear submarines.

“While there’s a whole lot of advancements in technologies about detecting submarines, there’s also a lot of advancements in technologies around making submarines harder to detect, and we are really confident about … giving Australia a highly capable, long‑range submarine capability in the future.”

Standing alongside the minister, Australia’s chief of navy, V-Adm Mark Hammond, said he believed crewed submarines would grow more stealthy as efforts to detect them strengthened.

“I’ve heard about ‘transparent oceans’ since I qualified in submarines 31 years ago, and nothing’s really changed: every advancement in detection capability is usually met by an advancement in encounter detection capability and increased stealth.”

The land and the air were “completely transparent”, Hammond said, “and no one has stopped building ships and aircraft”.

“My personal belief is that the undersea battle space will continue to be increasingly congested, increasingly contested, but ultimately that is the most opaque environment on the planet, and I believe that our allies and partners will continue to enjoy the capability advantage in that space.”

Detectable equals destroyable

Any sufficiently advanced technology is indistinguishable from magic.

Prof Peter W Singer, a strategist at the New America thinktank, cites Arthur C Clarke’s famed third law.

He tells the Guardian that the rapid pace of change across technological domains, accelerated by developments in AI, makes predicting future developments – especially beyond the span of a human or technological generation – increasingly fraught.

Australia’s first Aukus submarines are scheduled to be in the water in the 2040s. They will still be under construction into the 2060s.

“Twenty years is a very long time when it comes to technology … what’s a generation for undersea warfare: is it every 30 years? Every 15 years? Every 10 years? We’re talking about a pretty substantial period of time,” Singer says.

An accelerating trend is “greater observation of the battlefield, and the worry that once stealthy systems might be detectable”.

“If they’re detectable, they’re destroyable,” he says.

“Military leaders around the world are wrestling with this – whether they are in the ADF, Nato, the US Navy Marine Corps – there’s a trend where essentially the apex predators are looking around and wondering if they are now the prey.”

The Marianas Trench – largely uncharted and reaching depths beyond human exploration – might remain unknowable, Singer says, but key sea lanes in the South China Sea could be intensely surveilled.

He cites the cold war example of the GIUK Gap – naval choke points in the North Atlantic – which was populated by a battery of hydrophones designed to detect the passage of Soviet submarines.

Singer predicts that undersea warfare of the future will not be a battle between crewed submarines but between hybrid fleets of new technologies, including unmanned underwater vehicles, potentially working in concert with crewed subs. UUVs will be far cheaper and expendable in comparison with traditional submarines.

The terrestrial equivalent is Ukraine’s revolutionary use of cheap but lethal armed drones to counter Russia’s invasion. Expendable drones worth a few hundred dollars are taking out tanks that cost tens of millions, halting entire offensives.

“The uncrewed systems are not all going to be like a pet on a leash, they’re going to be increasingly operating on their own,” Singer says.

“So you may have some physically large systems that need to go long distances and carry massive payloads, but you may also have smaller systems, maybe with less range but, because they’re smaller, they’re cheaper, and you can essentially fill the battle space with them.”

The upshot is a balancing act, Singer says – accepting that decision-makers have neither a perfect view of the future nor an unlimited budget.

“I am not saying ‘don’t buy Virginia Class’ or ‘don’t buy Aukus’,” he says. “I think they do bring value. The question is how much of a bet do you want to make?”



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Prediction: This Artificial Intelligence (AI) Company Will Reshape Cloud Infrastructure by 2030

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The company’s focus on cloud and AI has unlocked unprecedented growth.

The advent of modern cloud computing is largely attributed to Amazon, which pioneered cloud infrastructure services with the introduction of Amazon Web Services (AWS) in 2002. The industry has evolved over time, but the basics remain the same: Providers offer on-demand, scalable computing, software, data storage, and networking capabilities to any business with an internet connection.

After a period of slower growth, the cloud infrastructure space got a jump start thanks to recent developments in the field of artificial intelligence (AI). However, the large language models that underpin the technology require a great deal of computational horsepower, which typically isn’t available outside a data center. As a result, the demand for cloud infrastructure services has skyrocketed in recent years, and it’s expected only to grow from here.

Recent developments suggest there could be a big shakeup coming to the cloud infrastructure space, led by technology stalwart Oracle (ORCL -5.05%).

Image source: Getty Images.

Skyrocketing demand for Oracle Cloud

While the company is primarily known for its flagship Oracle Database, it offers customers a growing suite of enterprise software, integrated cloud applications, and cloud infrastructure services.

Oracle Cloud Infrastructure (OCI) has long trailed the Big Three cloud providers. To close out the calendar second quarter, AWS, Microsoft Azure, and Alphabet‘s Google Cloud controlled 30%, 20%, and 13% of the market, respectively, according to data compiled by Statista. Oracle ran a distant fifth with 3% of the market.

Yet, recent developments suggest a paradigm shift in the status quo. When Oracle released the results of its fiscal 2026 first quarter (ended Aug. 31), the headline numbers were largely business as usual. Total revenue grew 11% year over year to $14.9 billion, while its adjusted earnings per share (EPS) of $1.47 grew 6%.

However, investors were taken aback by the magnitude of Oracle’s backlog, as its remaining performance obligation (RPO) — or contractual obligations not yet included in revenue — surged 359% year over year to $455 billion. Perhaps more impressive is the $317 billion in contracts signed during the first quarter alone.

Oracle’s position as a trusted partner to enterprise made it “the go-to place for AI workloads,” according to CEO Safra Catz. If that wasn’t enough, she went on to say, “We expect to sign-up several additional multi-billion-dollar customers and RPO is likely to exceed half-a-trillion dollars.”

Breaking down that backlog shows that Oracle will be reaping the benefit of those deals for years to come:

  • Fiscal 2026 cloud revenue of $18 billion, up 77%
  • Fiscal 2027 cloud revenue of $32 billion, up 78%
  • Fiscal 2028 cloud revenue of $73 billion, up 128%
  • Fiscal 2029 cloud revenue of $114 billion, up 56%
  • Fiscal 2030 cloud revenue of $144 billion, up 26%

The company notes that the majority of the revenue in this outlook is already booked in RPO, so there are contracts backing these forecasts. If Oracle is able to reach these lofty benchmarks, and that’s still a big if, OCI will join the big leagues of cloud infrastructure and could potentially unseat one or more of the Big Three.

A changing of the guard?

As previously stated, Amazon, Microsoft, and Google top the list of cloud infrastructure providers, so it helps to see where they stand. During the first six months of 2025, AWS generated revenue of $60.1 billion, up 17%, suggesting a run rate of $120 billion. During the same period, Google Cloud’s revenue came in at $25.9 billion, up 30%, suggesting a run rate of about $51.8 billion. Microsoft doesn’t generally break out Azure’s revenue, but it recently revealed that for fiscal 2025 (ended June 30), Azure surpassed $75 billion in revenue, up 34%.

Given the limitations, this is obviously not an apples-to-apples comparison, but it provides us with a starting point. Taking these extrapolated figures and applying their most recent growth rates over the coming four years, here’s where the Big Three would stand by the end of calendar 2029 compared to Oracle:

  • AWS: $225 billion
  • Azure: $241 billion
  • Google Cloud: $157 billion
  • Oracle: $144 billion

Using our imperfect information and assuming Oracle can turn its RPO into cloud revenue, this exercise shows a path for OCI to mount a challenge to the Big Three over the next five years.

To be clear, this is fun with numbers, and life doesn’t occur in a vacuum. All of our cloud infrastructure providers will likely grow more quickly or more slowly than our examples suggest. One of the upstart neocloud providers could capture an outsize portion of the market. There are plenty of other examples of what could go very right or very wrong, but you get the idea.

To buy or not to buy?

The recent surge in Oracle’s stock price has had a commensurate impact on its valuation, which appears lofty at first glance. The stock is selling for 38 times next year’s earnings, which is certainly a premium. However, using the more appropriate forward price/earnings-to-growth (PEG) ratio, which accounts for the company’s growth trajectory, the multiple comes in at 0.8, when any number less than 1 is the standard for an undervalued stock.

Danny Vena has positions in Alphabet, Amazon, and Microsoft. The Motley Fool has positions in and recommends Alphabet, Amazon, Microsoft, and Oracle. The Motley Fool recommends the following options: long January 2026 $395 calls on Microsoft and short January 2026 $405 calls on Microsoft. The Motley Fool has a disclosure policy.



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Academic and Student Life Committee discusses research funding and AI – The Cavalier Daily

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The Board of Visitors’ Academic and Student Life Committee met Thursday to hear presentations from Interim Provost Brie Gertler, Vice President of Research Lori McMahon, and student participants in the Karsh Institute’s Civic Cornerstone Fellowship. The Committee also discussed the terminated research grants, as well as ongoing initiatives related to artificial intelligence.

The Academic and Student Life Committee oversees all University operations related to student affairs — including athletics, campus culture, safety, residential and social life and food services. It is also responsible for shaping policies on education and research, including academic programs and degrees, as well as the recruitment and retention of faculty.

In her opening remarks, Gertler thanked her fellow leaders, dean, and colleagues for their efforts over the past few months, noting how unusual and eventful the period had been.

Gertler also spoke about a group of colleagues, including herself, who have been meeting regularly to address federal-level changes affecting the University.

“Since early this year, a group of colleagues from across the University have met frequently. We now meet once a week … to figure out how to prepare for and respond to changes coming from the federal level,” Gertler said. “These changes affect research, student, financial aid, international students, faculty and staff and our healthcare system.”

McMahon gave a presentation on research funding at the University and addressed the impacts made to research funding from the federal level. She noted that 76 percent of the University’s research funding comes from federal sources, with the remainder coming from the state, industry, foundations and non-profits and foreign donors.

As of Aug. 26, the University has lost $73.6 million in terminated grants, according to McMahon. She explained that the University initially anticipated a $60.2 million loss, including $40 million in grants from the U.S. Environmental Protection Agency grants, which have already been cut.

To date, the University has received 45 termination notices and 12 stop-work orders. Of 27 appeals they have submitted, 9 have been successful, while 6 have been rejected.

McMahon reported that the University faculty applied for $2.9 billion in funding for the 2025 fiscal year, a 5.8 percent increase from 2024. She also noted that in FY 2024, the University spent $829 million on research — a 16 percent rise from the previous year. Between July 2024 and June 2025, the University received $570 million in sponsored research awards from various sources, up 3.8 percent from 2024, although this figure does not include recently cancelled grants.

McMahon explained that the University’s current research initiatives do align closely with current federal priorities, such as national defense and security, artificial intelligence, nuclear science and biotechnology. She noted that these are positive indicators. 

“We have weathered this, I think, as best we could have expected, so there are positive indicators,” McMahon said. “We are looking and watching very carefully at what’s coming out from the House and the Senate and appropriations.”

The Committee also heard a report on the Karsh Institute’s Civic Cornerstone Fellowship from Stefanie Georgakis Abbott, director of programming at the Karsh Institute, and Rachel Wahl, a director at the Institute. Two of the fellowship participants, second-year College student Ahryanna McGuirk and Darden graduate student Ross Williams, also spoke. 

The Karsh Institute of Democracy launched the Civic Cornerstone fellowship, formerly known as the Student Dialogue Fellowship, fall 2024 in collaboration with seven different offices and schools at the University. The pilot year had 300 students across 11 of the University’s 12 schools and has grown to 400 students representing all schools.

Abbott noted that 100 percent of Civic Cornerstone Fellowship participants said they would recommend the program, and 86 percent reported an improved ability to engage in political discussions. She also shared that the program was recently awarded an $800,000 grant from Wake Forest University’s Educating Character Initiative, which will allow the Fellowship to expand and reach more universities.

McGuirk and Williams shared their motivations for joining the Civic Cornerstone Fellowship.

“I found that through this fellowship, it was a space for me to engage in honest conversations where everyone’s very open and welcoming to different ideas, different perspectives,” McGuirk said.

Williams offered a similar perspective, noting the value of bringing his background to the discussions.

“Being a Black man from New York. I’m a first-gen graduate, I thought I could bring a very unique perspective to the conversation … I thought I could learn a lot from very intelligent and diverse people,” Williams said.

In a separate discussion, Gertler emphasized the importance of artificial intelligence, and discussed the formation of AI @ UVA — a group of faculty members currently being assembled to explore the role of AI at the University. She noted that both the group and its website are still in development.

“My office is now developing a plan for a standing committee [that] could help us to think through … how we ensure that our students understand how to use AI effectively … and ensure that they understand its limits and the ethical and legal dimensions of this technology,” Gertler said. 

Gertler also noted that Leo Lo, the University’s incoming librarian and dean of libraries, brings valuable expertise in AI and will serve informally as her special advisor on AI literacy. Lo will officially begin his role Monday.

The Committee also approved of five new University professorships, two of which will be the Joseph R. Chambers Distinguished Professorship in Hepatology and the Jack P. Chambers Distinguished Professorship in Surgery. 

Additionally, the Committee approved the Pausic Family Jefferson Scholars Foundation Distinguished Professorship for the department of systems and information engineering, the Jefferson Scholars Foundation Distinguished Professorship in Political Economy, Law and Democracy and the Jon D. Mikalson Professorship in Classics.

The Committee approved renaming the David M. LaCross Professorship to the David M. LaCross Dean’s Chair of the U.Va. Darden School of Business. Darden alumni David and Kathleen LaCross donated $44 million to the school in 2022 and pledged a total commitment of over $100 million in 2023 — the largest gift in Darden’s history.

The Committee is scheduled to reconvene at the next Board meeting Dec. 4-5. 





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Artificial Intelligence Cracks One of Archaeology’s Biggest Puzzles in History That Defied Experts for Decades

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In a discovery that’s turning heads across the archaeological world, researchers have used artificial intelligence to uncover 303 previously unknown Nazca geoglyphs in the Peruvian desert, nearly doubling the number of documented ancient figures etched into the arid landscape.

The findings, detailed in a peer-reviewed study published in PNAS, mark a major leap forward in the study of the enigmatic Nazca culture and suggest a far more complex ceremonial and social use of these sprawling ground drawings than previously thought.

The project, a collaboration between Yamagata University in Japan and IBM Research, relied on deep learning to scan over 629 square kilometers of high-resolution aerial and drone imagery. The AI system, trained on a relatively small dataset of known geoglyphs, was able to detect faint, shallow, and weathered relief-type figures—many as small as 9 meters across—that have eluded human researchers for decades.

“This technology has allowed us to condense nearly a century of archaeological progress into just six months,” said Professor Masato Sakai, lead archaeologist at Yamagata’s Institute of Nazca.

The Overlooked Geoglyphs That Reshaped Archaeological Thinking

Unlike the more famous line-type Nazca geoglyphs—large stylized animals like monkeys, hummingbirds, and whales that stretch up to 90 meters and were first studied from the air in the early 20th century—the newly discovered figures belong mostly to the lesser-known relief-type category.

These smaller figures, meticulously outlined by removing surface stones to expose the lighter earth beneath, depict a range of human-related motifs: humanoids, decapitated heads, and domesticated animals like camelids. In fact, over 80% of the new finds depict human-modified subjects, in stark contrast to the wildlife-centric themes of the larger geoglyphs.

Nazca Lines, Peru, South America
Nazca Lines, Peru, South America. Credit: Wikimedia Commons

Crucially, these relief-type geoglyphs are often located within 43 meters of ancient foot trails, suggesting they were designed to be viewed by individuals or small groups traveling across the Nazca Pampa—not by aerial observers or large congregations. This supports earlier hypotheses proposed by German mathematician and Nazca researcher Maria Reiche, who posited that many geoglyphs were tied to ritual processions.

By contrast, the massive line-type figures tend to cluster around linear and trapezoidal paths, believed to be part of community-wide ceremonial networks. These findings lend weight to the idea that Nazca geoglyphs served a dual-purpose landscape: intimate, localized rituals and broader, communal pilgrimage activity.

AI’s Role in Rewriting Ancient Narratives

The AI’s success in detecting such difficult-to-spot figures came down to clever engineering and a bit of patience. Because of the limited training data—just over 400 known geoglyphs at the time—researchers fine-tuned a model pre-trained on conventional photographs, enhancing it with custom algorithms that scanned the imagery in 5-meter grids. A geoglyph probability map was then generated, helping archaeologists prioritize field surveys.

Ai Nazca LinesAi Nazca Lines
The Nazca Lines in the Peruvian desert showing a geoglyph representing a hummingbird. Credit: ALAMY

The team manually examined over 47,000 AI-flagged image boxes, spending more than 2,600 labor hours on screening and field verification. The payoff was significant: 303 new figurative geoglyphs confirmed between September 2022 and February 2023, alongside 42 new geometric figures and dozens of new groupings not previously documented.

This approach also revealed that many geoglyphs cluster in narrative scenes—for example, humanoids interacting with animals or symbolic decapitation motifs—further supporting the idea that the Nazca used these trails and figures to transmit cultural memory and ritual significance through motion and space.

“AI doesn’t replace the archaeologist,” said Dr. Alexandra Karamitrou, an AI researcher at the University of Southampton not involved in the study. “But it radically expands what’s possible, especially in places as vast and harsh as the Peruvian desert.”

Cultural Heritage Under Threat and a Race Against Time

This technological advance comes at a pivotal moment. The Nazca geoglyphs, designated a UNESCO World Heritage Site, face growing threats from climate change, unauthorized vehicle incursions, and flash flooding—phenomena becoming more frequent in the desert due to shifting weather patterns.

The Nazca LinesThe Nazca Lines
Credit: University of Yamagata

Preserving these fragile expressions of ancient Andean culture is now as much about data as it is about dirt. The AI-assisted survey not only improves the mapping of known figures but also highlights potential hot spots for future discoveries, many of which lie just beneath the surface of satellite scans.

With roughly 1,000 AI-flagged candidate sites still awaiting verification and many trails only partially mapped, researchers expect hundreds more figures may remain undiscovered. If so, we’re only beginning to grasp the cultural sophistication of a civilization that, over 1,500 years ago, etched stories into stone—not for us, but for the gods, the landscape, and each other.



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