AI Research
Mystery of Pachyrhinosaurus mass grave in Canada
Science editor
Senior science journalist
Hidden beneath the slopes of a lush forest in Alberta, Canada, is a mass grave on a monumental scale.
Thousands of dinosaurs were buried here, killed in an instant on a day of utter devastation.
Now, a group of palaeontologists have come to Pipestone Creek – appropriately nicknamed the “River of Death” – to help solve a 72-million-year-old enigma: how did they die?
Trying to work out exactly what happened here starts with the hefty strike of a sledgehammer.
Brute force is needed to crack open the thick layer of rock that covers what Professor Emily Bamforth, who’s leading the dig, describes as “palaeo gold”.
As her team begins the more delicate job of removing the layers of dirt and dust, a jumble of fossilised bones slowly begins to emerge.
“That big blob of bone right there is, we think, part of a hip,” Prof Bamforth says, watched on by her dog Aster – whose job today is to bark if she spots any nearby bears.
“Then here, we have all of these long, skinny bones. These are all ribs. And this is a neat one – it’s part of a toe bone. This one here, we have no idea what it is – it’s a great example of a Pipestone Creek mystery.”
BBC News has come to Pipestone Creek to witness the sheer scale of this prehistoric graveyard and see how researchers are piecing together the clues.
Thousands of fossils have been collected from the site, and are constantly generating new discoveries.
The bones all belong to a dinosaur called Pachyrhinosaurus. The species, and Prof Bamforth’s excavation, feature in a new landmark BBC series – Walking With Dinosaurs – which uses visual effects and science to bring this prehistoric world to life.
These animals, which lived during the Late Cretaceous period, were a relative of the Triceratops. Measuring about five metres long and weighing two tonnes, the four-legged beasts had large heads, adorned with a distinctive bony frill and three horns. Their defining feature was a big bump on the nose called a boss.
The dig season has just started and lasts each year until autumn. The fossils in the small patch of ground that the team are working on are incredibly tightly packed; Prof Bamforth estimates there are up to 300 bones in every square metre.
So far, her team has excavated an area the size of a tennis court, but the bed of bones extends for a kilometre into the hillside.
“It’s jaw dropping in terms of its density,” she tells us.
“It is, we believe, one of the largest bone beds in North America.
“More than half of the known dinosaur species in the world are described from a single specimen. We have thousands of Pachyrhinosaurus here.”
Palaeontologists believe the dinosaurs were migrating together in a colossal herd for hundreds of miles from the south – where they had spent the winter – to the north for the summer.
The area, which had a much warmer climate than it does today, would have been covered in rich vegetation, providing abundant food for this enormous group of plant-eating animals.
“It is a single community of a single species of animal from a snapshot in time, and it’s a huge sample size. That almost never happens in the fossil record,” says Prof Bamforth.
Bigger beasts offering clues
And this patch of north-western Alberta wasn’t just home to Pachyrhinosaurus. Even bigger dinosaurs roamed this land, and studying them is essential to try and understand this ancient ecosystem.
Two hours drive away, we reach the Deadfall Hills. Getting there involves a hike through dense forest, wading – or doggy-paddling in the case of Aster – across a fast-running river, and clambering over slippery rocks.
No digging is required here; super-sized bones lie next to the shoreline, washed out from the rock and cleaned by the flowing water, just waiting to be picked up.
A huge vertebra is quickly spotted, as are bits of ribs and teeth scattered across the mud.
Palaeontologist Jackson Sweder is particularly interested in what looks like a chunk of dinosaur skull. “Most of what we find here is a duck-billed dinosaur called Edmontosaurus. If this is a skull bone, this is a dinosaur that’s large – probably 30ft (10m) long,” he says.
The Edmontosaurus, another herbivore, roamed the forests like the Pachyrhinosaurus – and is helping palaeontologists build up a picture of this ancient land.
Sweder is the collection manager at the Philip J Currie Dinosaur Museum in nearby Grande Prairie, where the bones from both of these giants are taken to be cleaned up and analysed. He is currently working on a huge Pachyrhinosaurus skull that’s about 1.5m long and has been nicknamed “Big Sam”.
He points to where the three horns should be at the top of the frill, but the one in the middle is missing. “All the skulls that are decently complete have a spike in that spot,” he says. “But its nice little unicorn spike doesn’t seem to be there.”
Throughout years working at the extraordinary site, the museum team has collected 8,000 dinosaur bones, and the surfaces of the lab are covered in fossils; there are bones from Pachyrhinosaurus of every size, from young to old.
Having material from so many animals allows researchers to learn about dinosaur biology, answering questions about how the species grows and the make-up of the community. They can also look at individual variations, to see how one Pachyrhinosaurus could stand out from the herd – as may be the case with Big Sam and his missing spike.
A sudden devastating event
All of this detailed research, in the museum and at the two sites, is helping the team to answer the vital question: how did so many animals in Pipestone Creek die at the same time?
“We believe that this was a herd on a seasonal migration that got tangled up in some catastrophic event that effectively wiped out, if not the entire herd, then a good proportion of it,” Prof Bamforth says.
All the evidence suggests that this catastrophic event was a flash flood – perhaps a storm over the mountains that sent an unstoppable torrent of water towards the herd, ripping trees from their roots and shifting boulders.
Prof Bamforth says the Pachyrhinosaurus wouldn’t have stood a chance. “These animals are not able to move very fast because of their sheer numbers, and they’re very top heavy – and really not very good at swimming at all.”
Rocks found at the site show the swirls of sediment from the fast-flowing water churning everything up. It’s as if the destruction is frozen in time as a wave in the stone.
But this nightmare day for the dinosaurs is now a dream for palaeontologists.
“We know, every time we come here, it’s 100% guaranteed we’ll find bones. And every year we discover something new about the species,” says Prof Bamforth.
“That’s why we keep coming back, because we’re still finding new things.”
As the team packs up their tools ready to return another day, they know there’s a lot of work ahead. They’ve only just scratched the surface of what’s here – and there are many more prehistoric secrets just waiting to be revealed.
The new series of Walking With Dinosaurs starts on Sunday 25 May at 18:25 BST on BBC One, with all episodes available on BBC iPlayer.
AI Research
Space technology: Lithuania’s promising space start-ups
Technology Reporter
I’m led through a series of concrete corridors at Vilnius University, Lithuania; the murals give a Soviet-era vibe, and it seems an unlikely location for a high-tech lab working on a laser communication system.
But that’s where you’ll find the headquarters of Astrolight, a six-year-old Lithuanian space-tech start-up that has just raised €2.8m ($2.3m; £2.4m) to build what it calls an “optical data highway”.
You could think of the tech as invisible internet cables, designed to link up satellites with Earth.
With 70,000 satellites expected to launch in the next five years, it’s a market with a lot of potential.
The company hopes to be part of a shift from traditional radio frequency-based communication, to faster, more secure and higher-bandwidth laser technology.
Astrolight’s space laser technology could have defence applications as well, which is timely given Russia’s current aggressive attitude towards its neighbours.
Astrolight is already part of Nato’s Diana project (Defence Innovation Accelerator for the North Atlantic), an incubator, set up in 2023 to apply civilian technology to defence challenges.
In Astrolight’s case, Nato is keen to leverage its fast, hack-proof laser communications to transmit crucial intelligence in defence operations – something the Lithuanian Navy is already doing.
It approached Astrolight three years ago looking for a laser that would allow ships to communicate during radio silence.
“So we said, ‘all right – we know how to do it for space. It looks like we can do it also for terrestrial applications’,” recalls Astrolight co-founder and CEO Laurynas Maciulis, who’s based in Lithuania’s capital, Vilnius.
For the military his company’s tech is attractive, as the laser system is difficult to intercept or jam.
It’s also about “low detectability”, Mr Maciulis adds:
“If you turn on your radio transmitter in Ukraine, you’re immediately becoming a target, because it’s easy to track. So with this technology, because the information travels in a very narrow laser beam, it’s very difficult to detect.”
Worth about £2.5bn, Lithuania’s defence budget is small when you compare it to larger countries like the UK, which spends around £54bn a year.
But if you look at defence spending as a percentage of GDP, then Lithuania is spending more than many bigger countries.
Around 3% of its GDP is spent on defence, and that’s set to rise to 5.5%. By comparison, UK defence spending is worth 2.5% of GDP.
Recognised for its strength in niche technologies like Astrolight’s lasers, 30% of Lithuania’s space projects have received EU funding, compared with the EU national average of 17%.
“Space technology is rapidly becoming an increasingly integrated element of Lithuania’s broader defence and resilience strategy,” says Invest Lithuania’s Šarūnas Genys, who is the body’s head of manufacturing sector, and defence sector expert.
Space tech can often have civilian and military uses.
Mr Genys gives the example of Lithuanian life sciences firm Delta Biosciences, which is preparing a mission to the International Space Station to test radiation-resistant medical compounds.
“While developed for spaceflight, these innovations could also support special operations forces operating in high-radiation environments,” he says.
He adds that Vilnius-based Kongsberg NanoAvionics has secured a major contract to manufacture hundreds of satellites.
“While primarily commercial, such infrastructure has inherent dual-use potential supporting encrypted communications and real-time intelligence, surveillance, and reconnaissance across NATO’s eastern flank,” says Mr Genys.
Going hand in hand with Astrolight’s laser technology is the autonomous satellite navigation system fellow Lithuanian space-tech start-up Blackswan Space has developed.
Blackswan Space’s “vision based navigation system” allows satellites to be programmed and repositioned independently of a human based at a ground control centre who, its founders say, won’t be able to keep up with the sheer volume of satellites launching in the coming years.
In a defence environment, the same technology can be used to remotely destroy an enemy satellite, as well as to train soldiers by creating battle simulations.
But the sales pitch to the Lithuanian military hasn’t necessarily been straightforward, acknowledges Tomas Malinauskas, Blackswan Space’s chief commercial officer.
He’s also concerned that government funding for the sector isn’t matching the level of innovation coming out of it.
He points out that instead of spending $300m on a US-made drone, the government could invest in a constellation of small satellites.
“Build your own capability for communication and intelligence gathering of enemy countries, rather than a drone that is going to be shot down in the first two hours of a conflict,” argues Mr Malinauskas, also based in Vilnius.
“It would be a big boost for our small space community, but as well, it would be a long-term, sustainable value-add for the future of the Lithuanian military.”
Eglė Elena Šataitė is the head of Space Hub LT, a Vilnius-based agency supporting space companies as part of Lithuania’s government-funded Innovation Agency.
“Our government is, of course, aware of the reality of where we live, and that we have to invest more in security and defence – and we have to admit that space technologies are the ones that are enabling defence technologies,” says Ms Šataitė.
The country’s Minister for Economy and Innovation, Lukas Savickas, says he understands Mr Malinauskas’ concern and is looking at government spending on developing space tech.
“Space technology is one of the highest added-value creating sectors, as it is known for its horizontality; many space-based solutions go in line with biotech, AI, new materials, optics, ICT and other fields of innovation,” says Mr Savickas.
Whatever happens with government funding, the Lithuanian appetite for innovation remains strong.
“We always have to prove to others that we belong on the global stage,” says Dominykas Milasius, co-founder of Delta Biosciences.
“And everything we do is also geopolitical… we have to build up critical value offerings, sciences and other critical technologies, to make our allies understand that it’s probably good to protect Lithuania.”
AI Research
How Is AI Changing The Way Students Learn At Business School?
Artificial intelligence is the skill set that employers increasingly want from future hires. Find out how b-schools are equipping students to use AI
Business students are already seeing AI’s value. More than three-quarters of business schools have already integrated AI into their curricula—from essay writing to personal tutoring, career guidance to soft-skill development.
BusinessBecause hears from current business students about how AI is reshaping the business school learning experience.
The benefits and drawbacks of using AI for essay writing
Many business school students are gaining firsthand experience of using AI to assist their academic work. At Rotterdam School of Management, Erasmus University in the Netherlands, students are required to use AI tools when submitting essays, alongside a log of their interactions.
“I was quite surprised when we were explicitly instructed to use AI for an assignment,” said Lara Harfner, who is studying International Business Administration (IBA) at RSM. “I liked the idea. But at the same time, I wondered what we would be graded on, since it was technically the AI generating the essay.”
Lara decided to approach this task as if she were writing the essay herself. She began by prompting the AI to brainstorm around the topic, research areas using academic studies and build an outline, before asking it to write a full draft.
However, during this process Lara encountered several problems. The AI-generated sources were either non-existent or inappropriate, and the tool had to be explicitly instructed on which concepts to focus on. It tended to be too broad, touching on many ideas without thoroughly analyzing any of them.
“In the end, I felt noticeably less connected to the content,” Lara says. “It didn’t feel like I was the actual author, which made me feel less responsible for the essay, even though it was still my name on the assignment.”
Despite the result sounding more polished, Lara thought she could have produced a better essay on her own with minimal AI support. What’s more, the grades she received on the AI-related assignments were below her usual average. “To me, that shows that AI is a great support tool, but it can’t produce high-quality academic work on its own.”
AI-concerned employers who took part in the Corporate Recruiters Survey echo this finding, stating that they would rather GME graduates use AI as a strategic partner in learning and strategy, than as a source for more and faster content.
How business students use AI as a personal tutor
Daniel Carvalho, a Global Online MBA student, also frequently uses AI in his academic assignments, something encouraged by his professors at Porto Business School (PBS).
However, Daniel treats AI as a personal tutor, asking it to explain complex topics in simple terms and deepen the explanation. On top of this, he uses it for brainstorming ideas, summarizing case studies, drafting presentations and exploring different points of view.
“My MBA experience has shown me how AI, when used thoughtfully, can significantly boost productivity and effectiveness,” he says.
Perhaps one of the most interesting ways Daniel uses AI is by turning course material into a personal podcast. “I convert text-based materials into audio using text-to-speech tools, and create podcast-style recaps to review content in a more conversational and engaging way. This allows me to listen to the materials on the go—in the car or at the gym.”
While studying his financial management course, Daniel even built a custom GPT using course materials. Much like a personal tutor, it would ask him questions about the material, validate his understanding, and explain any questions he got wrong. “This helped reinforce my knowledge so effectively that I was able to correctly answer all multiple-choice questions in the final exam,” he explains.
Similarly, at Villanova School of Business in the US, Master of Science in Business Analytics and AI (MSBAi) students are building personalized AI bots with distinct personalities. Students embed reference materials into the bot which then shape how the bot responds to questions.
“The focus of the program is to apply these analytics and AI skills to improve business results and career outcomes,” says Nathan Coates, MSBAi faculty director at the school. “Employers are increasingly looking for knowledge and skills for leveraging GenAI within business processes. Students in our program learn how AI systems work, what their limitations are, and what they can do better than existing solutions.”
The common limitations of using AI for academic work
Kristiina Esop, who is studying a doctorate in Business Administration and Management at Estonian Business School, agrees that AI in education must always be used critically and with intention. She warns students should always be aware of AI’s limitations.
Kristiina currently uses AI tools to explore different scenarios, synthesize large volumes of information, and detect emerging debates—all of which are essential for her work both academically and professionally.
However, she cautions that AI tools are not 100% accurate. Kristiina once asked ChatGPT to map actors in circular economy governance, and it returned a neat, simplified diagram that ignored important aspects. “That felt like a red flag,” she says. “It reminded me that complexity can’t always be flattened into clean logic. If something feels too easy, too certain—that’s when it is probably time to ask better questions.”
To avoid this problem, Kristiina combines the tools with critical thinking and contextual reading, and connects the findings back to the core questions in her research. “I assess the relevance and depth of the sources carefully,” she says. “AI can widen the lens, but I still need to focus it myself.”
She believes such critical thinking when using AI is essential. “Knowing when to question AI-generated outputs, when to dig deeper, and when to disregard a suggestion entirely is what builds intellectual maturity and decision-making capacity,” she says.
This is also what Wharton management professor Ethan Mollick, author of Co Intelligence: Living and Working with AI and co-director of the Generative AI Lab believes. He says the best way to work with [generative AI] is to treat it like a person. “So you’re in this interesting trap,” he says. “Treat it like a person and you’re 90% of the way there. At the same time, you have to remember you are dealing with a software process.”
Hult International Business School, too, expects its students to use AI in a balanced way, encouraging them to think critically about when and how to use it. For example, Rafael Martínez Quiles, a Master’s in Business Analytics student at Hult, uses AI as a second set of eyes to review his thinking.
“I develop my logic from scratch, then use AI to catch potential issues or suggest improvements,” he explains. “This controlled, feedback-oriented approach strengthens both the final product and my own learning.”
At Hult, students engage with AI to solve complex, real-world challenges as part of the curriculum. “Practical business projects at Hult showed me that AI is only powerful when used with real understanding,” says Rafael. “It doesn’t replace creativity or business acumen, it supports it.”
As vice president of Hult’s AI Society, N-AIble, Rafael has seen this mindset in action. The society’s members explore AI ethically, using it to augment their work, not automate it. “These experiences have made me even more confident and excited about applying AI in the real world,” he says.
The AI learning tools students are using to improve understanding
In other business schools, AI is being used to offer faculty a second pair of hands. Nazarbayev University Graduate School of Business has recently introduced an ‘AI Jockey’. Appearing live on a second screen next to the lecturer’s slides, this AI tool acts as a second teacher, providing real-time clarifications, offering alternate examples, challenging assumptions, and deepening explanations.
“Students gain access to instant, tailored explanations that complement the lecture, enhancing understanding and engagement,” says Dr Tom Vinaimont, assistant professor of finance, Nazarbayev University Graduate School of Business, who uses the AI jockey in his teaching.
Rather than replacing the instructor, the AI enhances the learning experience by adding an interactive, AI-driven layer to traditional teaching, transforming learning into a more dynamic, responsive experience.
“The AI Jockey model encourages students to think critically about information, question the validity of AI outputs, and build essential AI literacy. It helps students not only keep pace with technological change but also prepares them to lead in an AI-integrated world by co-creating knowledge in real time,” says Dr Vinaimont.
How AI can be used to encourage critical thinking among students
So, if you’re looking to impress potential employers, learning to work with AI while a student is a good place to start. But simply using AI tools isn’t enough. You must think critically, solve problems creatively and be aware of AI’s limitations.
Most of all, you must be adaptable. GMAC’s new AI-powered tool, Advancery, helps you find graduate business programs tailored to your career goals, with AI-readiness in mind.
After all, working with AI is a skill in itself. And in 2025, it is a valuable one.
AI Research
The new frontier of medical malpractice
Although the beginnings of modern artificial intelligence (AI) can be traced
as far back as 1956, modern generative AI, the most famous example of which is
arguably ChatGPT, only began emerging in 2019. For better or worse, the steady
rise of generative AI has increasingly impacted the medical field. At this time, AI has begun to advance in a way that creates
potential liability…
-
Funding & Business1 week ago
Kayak and Expedia race to build AI travel agents that turn social posts into itineraries
-
Jobs & Careers7 days ago
Mumbai-based Perplexity Alternative Has 60k+ Users Without Funding
-
Mergers & Acquisitions7 days ago
Donald Trump suggests US government review subsidies to Elon Musk’s companies
-
Funding & Business7 days ago
Rethinking Venture Capital’s Talent Pipeline
-
Jobs & Careers6 days ago
Why Agentic AI Isn’t Pure Hype (And What Skeptics Aren’t Seeing Yet)
-
Funding & Business4 days ago
Sakana AI’s TreeQuest: Deploy multi-model teams that outperform individual LLMs by 30%
-
Funding & Business1 week ago
From chatbots to collaborators: How AI agents are reshaping enterprise work
-
Jobs & Careers6 days ago
Astrophel Aerospace Raises ₹6.84 Crore to Build Reusable Launch Vehicle
-
Jobs & Careers6 days ago
Telangana Launches TGDeX—India’s First State‑Led AI Public Infrastructure
-
Funding & Business7 days ago
Europe’s Most Ambitious Startups Aren’t Becoming Global; They’re Starting That Way