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First device based on 'optical thermodynamics' can route light without switches
A team of researchers at the Ming Hsieh Department of Electrical and Computer Engineering has created a new breakthrough in photonics: the design of the first optical device that follows the emerging framework of optical thermodynamics.
The work, reported in Nature Photonics, introduces a fundamentally new way of routing light in nonlinear systems—meaning systems that do not require switches, external control, or digital addressing. Instead, light naturally finds its way through the device, guided by simple thermodynamic principles.
Universal routing is a familiar engineering concept. In mechanics, a manifold valve directs inputs to a chosen outlet. In digital electronics, a Wi-Fi router at home or an Ethernet switch in a data center directs information from many input channels to the correct output port, ensuring that each stream of data reaches its intended destination.
When it comes to light, the same problem is far more challenging, however. Conventional optical routers rely on complex arrays of switches and electronic control to toggle pathways. These approaches add technical difficulty, while limiting speed and performance.
The photonics team at the USC Viterbi School of Engineering has now shown that there is another way. The idea can be likened to a marble maze that arranges itself.
Normally, you'd have to lift barriers and guide a marble step-by-step to make sure it reaches its destination—the right hole. In the USC team's device, however, the maze is built so that no matter where you drop the marble, it will roll on its own toward the right place—no guiding hands needed. And this is exactly how light behaves: it finds the correct path naturally, by following the principles of thermodynamics.
The implications of the new approach extend far beyond the laboratory. As computing and data processing continue to push the limits of traditional electronics, various companies—including chip designers such as NVIDIA and others—are exploring optical interconnects as a way to move information faster and more efficiently.
[...] The team's demonstration in Nature Photonics marks the first device designed with this new theory. Rather than actively steering the signal, the system is engineered so that the light routes itself.
The principle is directly inspired by thermodynamics. Just as a gas undergoing what's known as a Joule-Thomson expansion redistributes its pressure and temperature before naturally reaching thermal equilibrium, light in the USC device experiences a two-step process: first an optical analog of expansion, then thermal equilibrium. The result is a self-organized flow of photons into the designated output channel—without any need for external switches.
By effectively turning chaos into predictability, optical thermodynamics opens the door to the creation of a new class of photonic devices that harness, rather than fight against, the complexity of nonlinear systems.
More information: Hediyeh M. Dinani et al, Universal routing of light via optical thermodynamics, Nature Photonics (2025). DOI: 10.1038/s41566-025-01756-4
The Times of India published an interesting article explaining the 2025 Economics Nobel Prize:
"We're a planet of six billion ninnies living in a civilisation built by a few thousand savants," Scott Adams once said — and beneath the Dibert creator's misanthropy is a disarmingly accurate description of how the modern world works. Most of us don't invent, build, or discover anything of world-changing importance. We live inside systems we didn't design, using tools we don't understand, and benefitting daily from the work of people whose names we'll never know. And yet, we're quick to criticise those same systems — science, technology, capitalism — that lifted us from the brink of subsistence to a level of prosperity our ancestors couldn't imagine.
[...] For most of recorded history, humanity went nowhere fast. A peasant in medieval Europe lived much the same life as a farmer in ancient Mesopotamia. Empires rose and fell, plagues came and went, and the occasional invention — a plough here, a printing press there — might briefly improve life. But those improvements rarely built on one another. Progress was sporadic and short-lived. The line of human prosperity was basically flat.
This year's Nobel laureates — Joel Mokyr, Philippe Aghion, and Peter Howitt — offer complementary answers to that question. Together, their work explains why humanity's growth engine roared to life — and what keeps it running today.
Joel Mokyr, an economic historian, argues that the Industrial Revolution wasn't just about machines — it was about knowledge. Before the 18th century, most human innovation was based on know-how: practical skills, techniques, and tricks. People knew how to do things but not why they worked. Without that deeper understanding, invention couldn't build on itself. Progress happened in bursts but couldn't compound.
The Enlightenment changed that. Science and technology stopped being separate worlds and started reinforcing each other. Scientific discoveries explained why things worked, which allowed engineers to design better tools and machines. Those tools, in turn, raised new scientific questions. Mokyr calls this cycle "useful knowledge" — a feedback loop between theory and practice that transformed invention from a series of lucky accidents into a self-sustaining system.
But knowledge alone wasn't enough. It needed skilled people to turn ideas into reality — artisans, mechanics, and engineers — and it needed societies willing to embrace disruption. Britain was uniquely placed for this. It had a pool of skilled craftsmen and institutions flexible enough to allow new industries to rise, even when they destroyed old ones. Where older systems punished change, Britain began to reward it — and progress exploded.
If Mokyr explains how growth begins, Philippe Aghion and Peter Howitt explain how it continues. Their core idea is creative destruction — Joseph Schumpeter's famous term for capitalism's brutal but productive cycle. In a dynamic economy, new technologies don't complement the old; they replace them. A company invents a better product, dethrones the market leader, and is itself dethroned by the next innovator. Industries collapse, jobs disappear, and new ones emerge.
Beneath the smooth line of GDP growth lies this constant churn — a storm of destruction that fuels creation. It's not a flaw; it's the engine. The promise of profit drives firms to innovate, knowing they'll eventually be replaced. The fear of obsolescence drives them to run faster. And the result is relentless progress.
Creative destruction is not without pain. It produces winners and losers. It can move too quickly — wasting resources on marginal improvements — or too slowly, when monopolies choke competition. But without it, economies stagnate. Aghion and Howitt's work helps explain how societies can manage that balance: encouraging innovation without letting it spiral out of control.
The core lesson from this year's Nobel is deceptively simple: sustained prosperity isn't natural. It's engineered. It depends on the marriage of science and technology, on societies that embrace change rather than fear it, and on markets that reward innovation while punishing complacency. It's why we complain about slow Wi-Fi instead of famine. It's why we debate the ethics of artificial intelligence instead of the inevitability of plague. And it's why most of us have never known the grinding poverty, insecurity, and vulnerability that were once the default condition of human life.
Yet this system is fragile. It can be undone by monopolies, political short-sightedness, or cultural resistance to change. It can be slowed by hostility to science, censorship, or the temptation to cling to the familiar. If that happens, the line flattens again. Stagnation returns. And the miracle of modernity — the miracle we take for granted — begins to fade.
Scott Adams was right: civilisation is the work of a few thousand savants. But those savants are not lone geniuses; they are products of a system built over centuries — a system that turns knowledge into invention, invention into industry, and industry into prosperity. Our job is not to sneer at it but to sustain it. Because Cousin Greg, for all his awkwardness, is the reason we're here. And without him — without economics — the story of how eight plus billion ninnies ended up living in a civilisation of unimaginable abundance would make no sense at all.
https://phys.org/news/2025-10-nanoplastics-farm-animal-cells-human.html
Scientists at the Research Institute for Farm Animal Biology (FBN) in Dummerstorf and the University of Udine have detected the uptake of nanoplastics in farm animal cell cultures. The results provide evidence of potential risks to animal health, meat production and also human food safety.
Plastic bags, packaging, yogurt lids—items that are carelessly thrown away decompose over years into tiny plastic particles. They end up in soil, waterways and ultimately in our food chain. Although numerous studies have already shown that microplastics can harm marine animals, birds and insects, the effects of nanoplastics on livestock have hardly been researched to date.
Unlike microplastics (1 µm–5 mm), there are currently few adequate methods for detecting nanoplastics (< 1 µm) in humans and animals. However, researchers assume that these small particles can also accumulate in tissue.
In a joint study, researchers from the FBN and the University of Udine have demonstrated the uptake of nanoplastic particles made of polystyrene into cultured cells from cattle and pigs. This absorption led to changes that could impair the cell function and health of the animals in the long term.
"Since we still know far too little about nanoplastics and detection is difficult, our results are particularly important for better assessing the risks," explains Dr. Anja Baufeld from the Cell Physiology and Reproduction working group at the FBN. "When we saw that nanoplastics were entering the cells, we knew that this could have far-reaching consequences," Baufeld continues.
[...] "Our research shows that nanoplastics are not only an environmental problem, but could also have direct consequences for the health of farm animals. These initial findings highlight the importance of conducting more intensive research into plastic pollution in order to assess the potential risks to both animals and humans at an early stage," says Baufeld.
More information: Francesca Corte Pause et al, Exploring the influence of polystyrene-nanoplastics on two distinct in vitro systems in farm animals: A pilot study, Science of The Total Environment (2025). DOI: 10.1016/j.scitotenv.2025.179378
Elon Musk plans to take on Wikipedia with his own rival encyclopedia site.
On Tuesday, the Tesla CEO tweeted that his xAI startup is building Grokipedia, which he claims will be a "massive improvement" over Wikipedia. Musk has long had a gripe with Wikipedia, accusing it of being "woke" and even calling for it to be defunded. (The encyclopedia site has long relied on donations.) In January, Musk also railed at Wikipedia for adding an entry about him allegedly making a Nazi-like salute at a Trump inauguration event.
To create Grokipedia, Musk plans on tapping xAI's Grok chatbot (which he also created as an alternative to another technology he didn't like, ChatGPT). Grok has been trained on web data, including public tweets. In a podcast earlier this month, Musk suggested that Grok is smart enough not only to replicate the work of human community volunteers who maintain and update Wikipedia, but also to account for any bias or inaccuracies.
"Grok is using heavy amounts of inference compute to look at, as an example, a Wikipedia page, what is true, partially true, or false, or missing in this page," he said. "Now rewrite the page to correct, remove the falsehoods, correct the half-truths, and add the missing context." (That said, Grok has suffered its own share of problems, including praising Hitler.)
Drones fell out of the sky causing fires in a light show in Southern China in Liuyang Hunan Province went horribly wrong. Footage shared online shows the drones spiralling out of control and crashing into the ground, some bursting into flames and igniting fires. Social media users compared the fallout to the Armageddon movie.
A drone show in China has gone horribly wrong after hundreds of synchronised drones fell from the sky, starting fires.
The light show in Southern China has ended in chaos after hundreds of drones malfunctioned and fell from the sky during National Day celebrations.
The incident occurred last Thursday night in Liuyang, Hunan Province – a city known as China's fireworks capital – during a large-scale performance combining fireworks and drones at the Sky Theatre.
Footage shared online shows the drones spiralling out of control and crashing into the ground, some bursting into flames and igniting fires.
[...] The event, titled "October: The Sound of Blooming Flowers," is intended to create a 3D visual display with the help of drones over land and the city's river.
[...] Just last year, a drone show in China's mainland city of Quanzhou descended into chaos after more than 2000 drones went haywire, causing them to plummet towards crowds.
After visiting a string of factories, Jim Farley (Ford's chief executive) was left astonished by the technical innovations being packed into Chinese cars – from self-driving software to facial recognition:
"Their cost and the quality of their vehicles is far superior to what I see in the West," Farley warned in July.
"We are in a global competition with China, and it's not just EVs. And if we lose this, we do not have a future at Ford."
The car industry boss is not the only Western executive to have returned shaken following a visit to the Far East.
Andrew Forrest, the Australian billionaire behind mining giant Fortescue – which is investing massively in green energy – says his trips to China convinced him to abandon his company's attempts to manufacture electric vehicle powertrains in-house.
"I can take you to factories [in China] now, where you'll basically be alongside a big conveyor and the machines come out of the floor and begin to assemble parts," he says.
[...] It's also a far cry from the cheap "Made in China" goods that many Westerners have associated with the "workshop of the world" in the past, underscoring how much cash has been poured into upgrading China's industrial processes.
Far from being focused on low-quality products, China is now viewed as a leader in rapidly-growing, high-value technologies such as electric vehicles (EVs), batteries, solar panels, wind turbines, drones and advanced robotics.
[...] The overall number of robots added in China last year was 295,000, compared to 27,000 in Germany, 34,000 in the US and just 2,500 in the UK.
Also at ZeroHedge.
New Method Is the Fastest Way To Find the Best Routes:
If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle the easiest pieces first. But this kind of sorting has a cost. You may end up spending too much time putting the pieces in order.
This dilemma is especially relevant to one of the most iconic problems in computer science: finding the shortest path from a specific starting point in a network to every other point. It's like a souped-up version of a problem you need to solve each time you move: learning the best route from your new home to work, the gym and the supermarket.
"Shortest-paths is a beautiful problem that anyone in the world can relate to," said Mikkel Thorup, a computer scientist at the University of Copenhagen.
Intuitively, it should be easiest to find the shortest path to nearby destinations. So if you want to design the fastest possible algorithm for the shortest-paths problem, it seems reasonable to start by finding the closest point, then the next-closest, and so on. But to do that, you need to repeatedly figure out which point is closest. You'll sort the points by distance as you go. There's a fundamental speed limit for any algorithm that follows this approach: You can't go any faster than the time it takes to sort.
Forty years ago, researchers designing shortest-paths algorithms ran up against this "sorting barrier." Now, a team of researchers has devised a new algorithm that breaks it. It doesn't sort, and it runs faster than any algorithm that does.
"The authors were audacious in thinking they could break this barrier," said Robert Tarjan, a computer scientist at Princeton University. "It's an amazing result."
To analyze the shortest-paths problem mathematically, researchers use the language of graphs — networks of points, or nodes, connected by lines. Each link between nodes is labeled with a number called its weight, which can represent the length of that segment or the time needed to traverse it. There are usually many routes between any two nodes, and the shortest is the one whose weights add up to the smallest number. Given a graph and a specific "source" node, an algorithm's goal is to find the shortest path to every other node.
The most famous shortest-paths algorithm, devised by the pioneering computer scientist Edsger Dijkstra in 1956, starts at the source and works outward step by step. It's an effective approach because knowing the shortest path to nearby nodes can help you find the shortest paths to more distant ones. But because the end result is a sorted list of shortest paths, the sorting barrier sets a fundamental limit on how fast the algorithm can run.
In 1984, Tarjan and another researcher improved Dijkstra's original algorithm so that it hit this speed limit. Any further improvement would have to come from an algorithm that avoids sorting.
In the late 1990s and early 2000s, Thorup and other researchers devised algorithms that broke the sorting barrier, but they needed to make certain assumptions about weights. Nobody knew how to extend their techniques to arbitrary weights. It seemed they'd hit the end of the road.
"The research stopped for a very long time," said Ran Duan, a computer scientist at Tsinghua University in Beijing. "Many people believed that there's no better way."
Duan wasn't one of them. He'd long dreamed of building a shortest-paths algorithm that could break through the sorting barrier on all graphs. Last fall, he finally succeeded.
Duan's interest in the sorting barrier dates back nearly 20 years to his time in graduate school at the University of Michigan, where his adviser was one of the researchers who worked out how to break the barrier in specific cases. But it wasn't until 2021 that Duan devised a more promising approach.
The key was to focus on where the algorithm goes next at each step. Dijkstra's algorithm takes the region that it has already explored in previous steps. It decides where to go next by scanning this region's "frontier" — that is, all the nodes connected to its boundary. This doesn't take much time at first, but it gets slower as the algorithm progresses.
Duan instead envisioned grouping neighboring nodes on the frontier into clusters. He would then only consider one node from each cluster. With fewer nodes to sift through, the search could be faster at each step. The algorithm also might end up going somewhere other than the closest node, so the sorting barrier wouldn't apply. But ensuring that this clustering-based approach actually made the algorithm faster rather than slower would be a challenge.
Duan fleshed out this basic idea over the following year, and by fall 2022, he was optimistic that he could surmount the technical hurdles. He roped in three graduate students to help work out the details, and a few months later they arrived at a partial solution — an algorithm that broke the sorting barrier for any weights, but only on so-called undirected graphs.
In undirected graphs, every link can be traversed in both directions. Computer scientists are usually more interested in the broader class of graphs that feature one-way paths, but these "directed" graphs are often trickier to navigate.
"There could be a case that A can reach B very easily, but B cannot reach A very easily," said Xiao Mao, a computer science graduate student at Stanford University. "That's going to give you a lot of trouble."
In the summer of 2023, Mao heard Duan give a talk about the undirected-graph algorithm at a conference in California. He struck up a conversation with Duan, whose work he'd long admired.
"I met him for the first time in real life," Mao recalled. "It was very exciting."
After the conference, Mao began thinking about the problem in his spare time. Meanwhile, Duan and his colleagues were exploring new approaches that could work on directed graphs. They took inspiration from another venerable algorithm for the shortest-paths problem, called the Bellman-Ford algorithm, that doesn't produce a sorted list. At first glance, it seemed like an unwise strategy, since the Bellman-Ford algorithm is much slower than Dijkstra's.
"Whenever you do research, you try to take a promising path," Thorup said. "I would almost call it anti-promising to take Bellman-Ford, because it looks completely like the stupidest thing you could possibly do."
Duan's team avoided the slowness of the Bellman-Ford algorithm by running it for just a few steps at a time. This selective use of Bellman-Ford enabled their algorithm to scout ahead for the most valuable nodes to explore in later steps. These nodes are like intersections of major thoroughfares in a road network.
"You have to pass through [them] to get the shortest path to a lot of other stuff," Thorup said.
In March 2024, Mao thought of another promising approach. Some key steps in the team's original approach had used randomness. Randomized algorithms can efficiently solve many problems, but researchers still prefer nonrandom approaches. Mao devised a new way to solve the shortest-paths problem without randomness. He joined the team, and they worked together over the following months via group chats and video calls to merge their ideas. Finally, in the fall, Duan realized they could adapt a technique from an algorithm he'd devised in 2018 that broke the sorting barrier for a different graph problem. That technique was the last piece they needed for an algorithm that ran faster than Dijkstra's on both directed and undirected graphs.
Journal Reference:
Dijkstra, E. W.. A note on two problems in connexion with graphs, Numerische Mathematik (DOI: 10.1007/BF01386390)
Microsoft is restricting access to Internet Explorer mode in Edge browser after learning that hackers are leveraging zero-day exploits in the Chakra JavaScript engine for access to target devices.
The tech giant did not share too many technical details but said that the threat actor combined social engineering with an exploit in Chakra to gain remote code execution.
"The [Edge security] team recently received intelligence indicating that threat actors were abusing Internet Explorer (IE) mode within Edge to gain access to unsuspecting users' devices," says Gareth Evans, Microsoft Edge Security Team Lead.
Although support for Internet Explorer ended on June 15, 2022, Microsoft Edge has an IE mode for legacy compatibility with older technologies (ActiveX and Flash) still in use with a small set of business applications and government portals.
In August, the Edge security team learned that threat actors were directing targets to "an official-looking spoofed website" that prompted users, through an interface element, to load the page in IE mode.
After exploiting the zero-day in Chakra, the attacker leveraged a second vulnerability to increase privileges and escape the browser, and take full control of the device.
Evans did not provide identifiers for the exploited vulnerabilities and said the flaw in Chakra is unpatched.
To mitigate the risk, Microsoft removed the methods that allowed activating IE mode in Edge through easy methods, like the dedicated toolbar button, context menu, and items in the hamburger menu.
Users who want IE mode active now have to navigate to Settings > Default Browser > Allow and define the pages that should be loaded using Internet Explorer.
The new restrictions aim at making the activation of IE mode an intentional user action. Furthermore, the list of websites approved to load in IE mode should make it very difficult for attackers to succeed in their compromise attempts.
These changes do not apply to commercial users, who will continue to use IE mode as configured through enterprise policies.
However, Microsoft reminded users that they should migrate from the legacy web technology in Internet Explorer to modern products that deliver better security, are more reliable, and come with improved performance.
Wild honeybees now officially listed as endangered in the EU
You might think honeybees are thriving—after all, the honey industry is growing and its bees are well looked after by beekeepers. But not all honeybees live in hives. Across Europe, colonies still live in the wild, nesting in tree cavities and other natural spaces, just as their ancestors did for millions of years.
Now, for the first time, these wild honeybee populations have been officially categorized as endangered within the European Union. That's according to the latest update to the IUCN Red List, the world's official database of species conservation statuses.
The western honeybee has a long history with humans. People have kept honeybee colonies for thousands of years, dating back to the ancient Egyptians who kept them in rudimentary hives to harvest honey. But it's modern beekeeping, with its mobile hives and commercial pollination, that has had the widest impact on the species.
Because of that, today the western honeybee exists in two forms: the managed colonies kept in hives, and the wild ones that live independently of people. Both belong to the same species, Apis mellifera, but their lives and their prospects are radically different.
Managed honeybees have faced widely reported crises since the 2000s, when beekeepers around the world started noticing alarming losses in their hives. Since then, scientists have been working with beekeepers to investigate the causes and reduce colony mortality.
Because of this, the species as a whole is generally perceived as being under threat. But the reality is more complex than that. While it is true that managed colonies continue to suffer high losses, they are actively cared for by beekeepers and studied by researchers. The same cannot be said for their wild counterparts, which, until recently were relatively unstudied, especially in Europe.
The gap in knowledge led several European researchers to start investigating honeybees living freely in the wild. Such colonies have now been documented throughout Ireland and the UK, in national parks in France, the forests of Germany, Switzerland, and Poland, up and down Italy, and even in cities such as Belgrade in Serbia. These are now under study to understand if they can form self-sustaining populations capable of living without human help.
To connect these independent research projects, a global initiative called Honey Bee Watch was formed in 2020. Its goal: to better understand how honeybees live in the wild. Under this coalition, I have been part of a team of 14 scientists and experts, who have worked with the International Union for the Conservation of Nature (IUCN) to reassess the conservation status of wild A. mellifera populations.
This formed part of a monumental effort to update the European Red List of Bees, led by researchers at the University of Mons in Belgium, which examined the conservation status of almost 2,000 species—many for the first time.
Back in 2014, wild A. mellifera populations had been listed as "data deficient" in Europe because there wasn't enough information to answer a question that seemed simple enough: if a colony is found living in a tree, how can we tell whether it's truly wild or has escaped from a managed hive?
Our new assessment took a different approach. Honeybees are not truly domesticated, since beekeepers have never been able to completely prevent them from breeding with other colonies, whether wild or managed. This means genetic differences between managed and wild colonies are often blurred.
Instead of trying to draw a genetic line separating the two, we adapted the IUCN's definition of "wild" as it relates to honeybees. This meant we defined wild honeybee populations based on two criteria:
First, they live freely without management. And second, they can sustain their numbers independently without relying on the introduction of new colonies, such as those that escaped from managed hives.
Using ecology rather than genetics to define wild honeybees meant we could better evaluate their conservation status.
Europe has the lowest density of free-living colonies in the world, as managed hives far outnumber wild ones. And, thanks to a recent analysis provided by our fellow assessors, we know that their numbers are declining.
Combined with evidence of habitat loss, invasive parasites, diseases, and human-mediated hybridization, the picture that emerged was clear: wild honeybees are indeed in trouble.
That's why their Red List status has now been updated to "endangered within the European Union." However, for the wider pan-European region, they remain "data deficient" due to scarce data for areas such as the Balkans, the Baltics, Scandinavia and eastern Europe.
Protecting wild honeybees isn't just about saving an iconic species—it's about safeguarding our food security, biodiversity and ecosystems for the future. Populations surviving in the wild are those that naturally evolved the ability to cope with parasites, diseases and other harsh conditions that can devastate managed hives. They represent a vital genetic reservoir that could help make both wild and managed bees more resilient to future threats.
The new endangered assessment is a formal recognition that wild honeybees are native wildlife in need of conservation. We can no longer afford to leave them understudied and unprotected.
This article is republished from The Conversation under a Creative Commons license. Read the original article.
97% of companies struggle to prove AI's ROI - but these 5 expert tips can help:
Evidence suggests that many business leaders struggle to prove that an investment in generative AI delivers measurable returns.
More than 97% of organizations find it tough to demonstrate the business value of gen AI, according to a survey of 600 data leaders by Wakefield Research on behalf of technology specialist Informatica.
However, measuring AI ROI doesn't have to be an intractable challenge. ZDNET attended a panel session and spoke with digital leaders at the recent Informatica World Tour event in London to discover five ways to measure the value of AI projects.
1. Know when to start and stop
Gro Kamfjord, head of data at paint manufacturer Jotun, said her explorations into AI suggest that business leaders must have enough information to know when a project should be stopped or pursued.
To boost growth across its regional offices, the company modernized its data infrastructure to the cloud via a partnership with Informatica and Snowflake. A new centralized data hub enables faster development, meaning teams can streamline their AI preparations.
"We've seen in this project that it is possible to create a ballpark figure of what you're trying to achieve or at least point to the business value that will come from a project," she said.
Kamfjord told ZDNET that business leaders who start their AI explorations with something simple and small can either scale up that initiative when the time is right or pull the plug entirely.
"I'm not sure that putting a number on the project is the most important thing," she said. "What's more important is that you get enough information to stop the project if you see that this project won't produce a payback."
2. Win hearts and minds
Nick Millman, senior managing director in the global data and AI team at Accenture, said judging the end-to-end value of AI projects is tough, and emerging technologies require an investment in data foundations that won't deliver a short-term ROI.
"I've never met a CFO who just accepts whatever ROI calculation you put in front of them," he said.
"Your success comes down to winning over the hearts and minds of the organization that AI is the right thing to invest in."
Millman encouraged digital leaders to take a three-pronged approach. First, measure ROI in terms that the business recognizes.
"I've seen so many different approaches, from mega spreadsheets that are tracking every single element through to vaguely measuring an increase in revenue. I don't think there's a right or wrong answer. But be pragmatic in terms of what works in your organization."
Second, get the business involved: "Too many times it's the data organization saying, 'Here's all the value we've produced.' But you really need the business stakeholders to be fully aligned with that value. Otherwise, the project doesn't maintain credibility."
Third, ask the finance function for help: "You get someone who's used to building business cases and ROIs, and then, by implication, the CFO has a more vested interest in the investment case for your project if someone on their team has helped create it."
3. Foster two-way discussions
Boris van der Saag, EVP of data foundation at finance firm Rabobank, said organizations must be patient in terms of ROI if they're going to invest in the foundational elements.
"You need to focus on the things you can eventually reap in terms of benefits," he said, suggesting that business leaders should concentrate on the storytelling elements that emphasize the long-term goals of the investment.
"That's important in terms of the conversation with the boardroom, because senior management is, by definition, less patient."
In terms of his business, van der Saag reports to the CFO. The close working relationship between finance and data helps ensure that ROI isn't just a one-way conversation but instead is a two-way discussion that enables new opportunities.
"Our CFO is asking our teams, 'What can I do? How can I change my behavior? How can I change the behavior of my team to enable some of the opportunity that resides in the data?'" he said.
"If you get the storytelling right and you get people on that journey, you will see a change in the conversation, and it becomes much more of a two-way interaction rather than just selling individual use cases."
4. Join the dots to bigger goals
Farhin Khan, UKI head of data and AI at AWS, is another business leader who encourages digital leaders to communicate the value of AI through storytelling.
"If you are communicating the outcomes of your project, you need to pivot away from the conventional thinking of what's the ROI of your use case, from a mathematical perspective, to what's the impact from an outcomes perspective," she said.
"Deliver those results in the language of the business stakeholder you're talking to. For example, a CMO will be interested in how an AI-powered personalization use case will help reduce customer lifecycle churn."
Khan also encouraged digital leaders to connect the dots from their AI use cases to the business transformation being led by the CEO.
"If the business wants to expand into new markets, communicate how each of your use cases will contribute to the result," she said.
"It's all about weaving this compelling storytelling into your narrative that you can take back and customize to the stakeholder that you're talking to."
5. Track the moving parts of a project
Kenny Scott, data governance consultant at energy specialist EDF Power Solutions, said effective AI ROI measurement relies on a tight bond between the various parties involved in the project, whether that's the IT team, business stakeholders, or vendor partners.
"You've always got to ask questions about the projects," he said, suggesting that smart digital leaders will ensure everyone is acutely aware of their roles and responsibilities. "There can be a tendency for people to go lone-wolf and do something themselves."
Scott has helped his organization build a modern data infrastructure, which he refers to as the engine room, including Informatica as the foundation, Snowflake as the core, and Power BI as the cockpit through which users turn information into insight.
He told ZDNET that successful value delivery is all about creating targets and managing expectations. Outline costs, expected returns, and stick to the deadlines.
"You need to be aware of the moving parts that are in there and ensure that they're understood and controlled so that the project doesn't run away."
https://phys.org/news/2025-10-green-solvents-protein-rapeseed.html
Heriot-Watt University researchers have developed a new method to extract high-quality protein from rapeseed waste using environmentally friendly solvents, potentially offering a sustainable solution to the world's growing protein demands. The research is reported in the journal Food Hydrocolloids.
Global protein demand is expected to double by 2050; the plant protein market alone is projected to grow from £13.7 billion to £21.3 billion between 2027 and 2030.
Professor Stephen Euston, from Heriot-Watt University's School of Engineering and Physical Sciences, said, "Livestock farming produces high levels of greenhouse gases, creating a serious environmental challenge as demand for animal protein grows.
"We need alternative sources of protein that don't cost the Earth."
Euston and his colleagues have focused on rapeseed press cake, the protein-rich waste left after oil extraction.
"Rapeseed press cake has been an underused resource, and upgrading it for human consumption would make a lot of sense—there's a lot available in Scotland, as farmers use rapeseed as a break crop, and the market for the oil has been growing."It contains 28%–45% protein, depending on the processing method, and most of this nutritious material goes unused for human consumption."
Natural solutionEuston worked with student Grace Chidimma James to investigate whether natural deep eutectic solvents (NADES) could effectively extract protein from rapeseed press cake.
James said, "NADES are eco-friendly alternatives to the harsh chemical solvents traditionally used in protein extraction.
"They have low toxicity and are biodegradable. They are also low-cost."
The solvents are created by combining natural compounds such as betaine, a naturally occurring compound found in beetroot and other sources, with citric acid, or choline chloride, a type of salt, with glycerol, forming liquids that can extract proteins without environmental damage.
Double the protein extractedThe study found that certain NADES formulations could extract significantly more protein than conventional water-based methods.
Using advanced computer simulations, the researchers discovered how these green solvents work at the molecular level. The NADES components form hydrogen bonds with proteins, potentially weakening their attachment to other materials in the rapeseed cake and making extraction easier.
The most effective combination—betaine and citric acid in a 2:1 ratio—achieved protein yields of 53%, compared to just 15% with water extraction alone.
Euston said, "While extraction with water alone gave the highest protein purity, NADES formulations were able to increase the protein yield significantly.
"However, the higher yields came at the cost of purity. The extracted protein contained other plant compounds alongside the proteins we hoped for—so there's some work to be done on refining the process."
Toward commercializationWhile promising, the technology still faces hurdles before it can be commercialized.
Euston said, "More research is required on optimizing both the choice of components and concentration of species to maximize yield and purity of protein extracts.
"But this is a step towards a more sustainable food system, where agricultural waste could be upgraded for human consumption."
More information: Grace Chidimma James et al, Molecular dynamics simulation allows mechanistic understanding of natural deep eutectic solvents action on rapeseed proteins, Food Hydrocolloids (2025). DOI: 10.1016/j.foodhyd.2025.111328
A new analysis of our solar system's interstellar interloper, 3I/ATLAS, reveals that it's spewing huge amounts of water — and astronomers can't immediately explain why:
The object, which is widely believed to be comet, showed strong ultraviolet emissions that are unmistakable telltales of hydroxyl gas (OH), a byproduct of water, when astronomers imaged it with NASA's Neil Gehrels Swift space telescope before it disappeared behind the Sun. The emissions could only be spotted from space because the ultraviolet light would get absorbed in the atmosphere.
Their findings, detailed in a new study published in The Astrophysical Journal Letters, argue that the presence of all this OH indicates the comet is ejecting water vapor at a torrential rate of about 88 pounds per second — around the same rate as a fire hose running at full blast, according to a press release about the findings.
[...] Astronomers believe that 3I/ATLAS came from the center of the Milky Way, where it was likely booted out of its original star system by a gravitational disturbance like the close flyby of another star, braving interstellar space before eventually cruising through our solar neighborhood. Based on these inferences, astronomers estimated that the comet must be billions of years old, perhaps three billion years older than the Sun itself. It's not only a snapshot of a different part of the galaxy, but a different era of the cosmos altogether.
Previously: Does 3I/ATLAS Generate its Own Light?
Nobel economics prize goes to 3 researchers for explaining innovation-driven economic growth
Joel Mokyr, Philippe Aghion and Peter Howitt won the Nobel memorial prize in economics Monday for their research into the impact of innovation on economic growth and how new technologies replace older ones, a key economic concept known as "creative destruction."
The winners represent contrasting but complementary approaches to economics. Mokyr is an economic historian who delved into long-term trends using historical sources, while Howitt and Aghion relied on mathematics to explain how creative destruction works.
Dutch-born Mokyr, 79, is from Northwestern University; Aghion, 69, from the Collège de France and the London School of Economics; and Canadian-born Howitt, 79, from Brown University.
Mokyr was still trying to get his morning coffee when he was reached on the phone by an AP reporter, and said he was shocked to win the prize.
"People always say this, but in this case I am being truthful—I had no clue that anything like this was going to happen," he said.
His students had asked him about the possibility he would win the Nobel, he said. "I told them that I was more likely to be elected Pope than to win the Nobel Prize in economics—and I am Jewish, by the way."
Mokyr will turn 80 next summer but said he has no plans to retire. "This is the type of job that I dreamed about my entire life," he said.
Like fellow laureate Mokyr, Aghion also expressed surprise at the honor. "I can't find the words to express what I feel," he said by phone to the press conference in Stockholm. He said he would invest his prize money in his research laboratory.
Asked about current trade wars and protectionism in the world, Aghion said that: "I am not welcoming the protectionist way in the US. That is not good for ... world growth and innovation."
The winners were credited with better explaining and quantifying "creative destruction," a key concept in economics that refers to the process in which beneficial new innovations replace—and thus destroy—older technologies and businesses. The concept is usually associated with economist Joseph Schumpeter, who outlined it in his 1942 book "Capitalism, Socialism and Democracy."
The Nobel committee said Mokyr "demonstrated that if innovations are to succeed one another in a self-generating process, we not only need to know that something works, but we also need to have scientific explanations for why."
Mokyr has long been known as an optimist about the positive effects of technological innovation.
In an interview with the AP in 2015, he cited the music streaming service Spotify as an example of an "absolutely astonishing" innovation that economists had difficulty measuring. Mokyr noted he once owned more than 1,000 CDs and, before that, "I spent a large amount of my graduate student budget on vinyl records." But now he could access a huge music library for a small monthly fee.
Aghion and Howitt studied the mechanisms behind sustained growth, including in a 1992 article in which they constructed a mathematical model for creative destruction.
Aghion helped shape French President Emmanuel Macron's economic program during his 2017 election campaign. More recently, Aghion co-chaired the Artificial Intelligence Commission, which in 2024 submitted a report to Macron outlining 25 recommendations to position France as a leading force in the field of AI.
"The laureates' work shows that economic growth cannot be taken for granted. We must uphold the mechanisms that underlie creative destruction, so that we do not fall back into stagnation," said John Hassler, chair of the committee for the prize in economic sciences.
One half of the 11 million Swedish kronor (nearly $1.2 million) prize goes to Mokyr and the other half is shared by Aghion and Howitt. Winners also receive an 18-carat gold medal and a diploma.
The economics prize is formally known as the Bank of Sweden Prize in Economic Sciences in Memory of Alfred Nobel. The central bank established it in 1968 as a memorial to Nobel, the 19th-century Swedish businessman and chemist who invented dynamite and established the five Nobel Prizes.
Since then, it has been awarded 57 times to a total of 99 laureates. Only three of the winners have been women.
Warp Speed! How Some Galaxies Can Move Away from Us Faster Than Light:
If there is an absolute law in the universe, it's that nothing can travel faster than the speed of light.
For science-fiction enthusiasts, that's a bit depressing. Space is big, and while the speed of light is incredibly fast to us humans, on interstellar scales it's glacially slow. Even at a photon's speed of about 300,000 kilometers per second, it's a journey of more than four years to reach just the closest star to the sun.
But we have to be careful how we state this universal law. To be more specific, nothing can move faster than the speed of light through space. That may seem like a nitpick, but it turns out to have literally cosmic importance.
To see why, we have to look at the behavior of the universe itself. One of the most important things the universe does is expand. It's getting bigger every day. The foundational observations for this, which were made more than a century ago, showed that distant galaxies appeared to be receding from us—not only that, but ones farther away were moving faster.
That's what an explosion does: at some time after the bang, the fastest-moving material will be farthest away. This is where the idea of the big bang model for the origin of the universe comes from.
The cosmic expansion can be measured as a rate, meaning at a given distance from us, a galaxy will be moving away from us at given speed. At a different distance, a galaxy will be moving at a different speed. We measure this as a rate of expansion called the Hubble constant. Our best measurements of this give a value of about 70 kilometers per second per megaparsec. In other words, a galaxy one megaparsec from us (about 3.26 million light-years) will be receding at 70 km/sec. A galaxy two megaparsecs away will be moving twice as fast, or at 140 km/sec, and so on.
Extrapolating this, though, runs us into trouble: it's not hard to see that at some distance from us, the recession speed will equal the speed of light. If you run the numbers, just using the speed of light divided by the Hubble constant, you find that distance is about 14 billion light-years. That distance is called the Hubble sphere, and anything farther away than that would be—from our perspective—moving faster than light.
Here's where things get weird. ("Oh yes, here is where that happens," I expect you're thinking.) The universe is actually quite a bit bigger than that. We know the cosmos was born about 13.8 billion years ago. By some few hundreds of millions of years later, galaxies had formed. When we see the light from a distant galaxy, it's taken, say, 12 billion years to reach us, but over that time, the universe has expanded. So the light has actually had to travel much farther than 12 billion light-years to get to us. By the time the light reaches us, that galaxy is more like 23 billion light-years away.
That means there are galaxies outside our Hubble sphere, and they are moving away from us faster than the speed of light! How is that possible?
And now we come back to choosing our words carefully. Yes, nothing can move through space faster than light. But those galaxies aren't moving through space. They're moving with it.
Because—to belabor this point—space itself is expanding, and that changes everything. The ultimate speed limit only matters for material objects, but space isn't included in that definition. It can expand at whatever rate it wants, and that means at some distance from us it is expanding faster than light. Galaxies, embedded in the fabric of space, are swept along with it, so past some threshold—in this case, the boundary of the Hubble sphere—they move away from us at superluminal speeds.
An imperfect analogy: Imagine a boat on the ocean that can move across the water at 20 km/hour. If the boat is headed away from you, that's how fast you'll see it moving. But now imagine the boat's in a current moving at 30 km/hour away from you. You'd now measure the boat moving at 50 km/hour, even though the speed of the boat relative to the water is only 20. To be clear, this is only an analogy and shouldn't be taken too far. But it helps to picture how this works.
So galaxies can move away from us faster than light. But can we see them?
Naively you'd think the answer is no because space is expanding too rapidly for light to catch up to us. But that's not actually the case. Imagine a galaxy just outside our Hubble sphere. We see it moving away at just faster than light. But from its point of view, the light it emits can easily reach the edge of our Hubble sphere after some time because that edge is not as far from that galaxy. And once that light passes over that distance, it can, by definition, reach us! This means we can in fact see galaxies outside that distance, even though those galaxies are receding faster than light. Incidentally, this also means that from the perspective of galaxies just outside our own Hubble sphere, the Milky Way is moving away from them at superluminal speed. That's right: from a certain cosmic point of view, you're breaking a universal speed limit right now, even if you're sitting motionless in a chair.
Does your head hurt yet? Yeah, I get it. But in fact I'm being quite gentle and hand-wavy about this because it's all so extremely complex. To truly understand, you have to invoke Einstein's general theory of relativity, which complicates matters greatly. Relativistic physics describes all this very well, but translating it into words is difficult. It's like trying to describe a symphony with words alone; you can talk about its volume and pitch, but without hearing the music, those words can't possibly truly describe it.
It amazes me that so many people not only understand the implications of general relativity but use that physics in their day-to-day life trying to understand the universe's behavior—a study called cosmology. And it's more wondrous that someone came up with this idea in the first place. Einstein was pretty smart, it turns out.
But it also took a huge number of astronomers from all over the world working over the past century to get us to where we are now in that cosmic exploration. And we're still very far from understanding it all. There's still so much left to learn, and—in an expanding universe—we may never reach its limit.
If you enjoyed this article, I'd like to ask for your support. Scientific American has served as an advocate for science and industry for 180 years, and right now may be the most critical moment in that two-century history.
I've been a Scientific American subscriber since I was 12 years old, and it helped shape the way I look at the world. SciAm always educates and delights me, and inspires a sense of awe for our vast, beautiful universe. I hope it does that for you, too.
PsyPost has a very interesting report about the consequences of using Ayahuasca on our feelings about death.
I've been interested in the stuff but a couple of friends that tried it reported there is a large possibility of vomiting after drinking the stuff and I just don't like that. Point of fact, they ask you to fast before the ceremony to minimize vomiting but to me dry heaves are worst.
Anyway, a very interesting read.
People who regularly use ayahuasca, a traditional Amazonian psychedelic drink, may have a fundamentally different way of relating to death. A new study published in the journal Psychopharmacology indicates that long-term ayahuasca users tend to show less fear, anxiety, and avoidance around death—and instead exhibit more acceptance. These effects appear to be driven not by spiritual beliefs or personality traits, but by a psychological attitude known as "impermanence acceptance."
The findings come from researchers at the University of Haifa, who sought to better understand how psychedelics influence people's thinking and behavior around mortality. According to their data, it is not belief in an afterlife or a shift in metaphysical views that predicts reduced death anxiety. Instead, the results suggest that learning to accept change and the transient nature of life may be central to how ayahuasca helps people relate more calmly to death.
Ayahuasca is a psychoactive brew traditionally used by Indigenous Amazonian groups in healing and spiritual rituals. The drink contains the powerful hallucinogen DMT (N,N-Dimethyltryptamine) along with harmala alkaloids that make it orally active. Many users describe deeply emotional, and often death-themed, visions during their experiences. These may include the sensation of personal death, symbolic rebirth, contact with deceased individuals, or feelings of ego dissolution—the temporary loss of a sense of self.
The research team, led by Jonathan David and Yair Dor-Ziderman, were interested in this recurring death-related content. Historical records, cultural traditions, and previous studies all suggest that ayahuasca frequently evokes visions or thoughts related to death. In one survey, over half of ayahuasca users said they had experienced what felt like a "personal death" during a session. Others described visions involving graves, spirits, or life-after-death themes.
Despite these consistent reports, empirical studies that systematically assess how ayahuasca affects death-related cognition and emotion remain rare. Past work has often relied on limited self-reports, lacked control groups, and overlooked possible mediating psychological factors. The current study aimed to address those gaps with a more rigorous design.
"We were motivated by the lack of research exploring how ayahuasca use might relate to the way people think about and come to terms with the most certain aspect of life: death. Most studies in this area have focused on other psychedelics and on short-term or clinical effects, while we wanted to explore longer-lasting, personality-level changes. We also wanted to understand why such changes might occur, which has been largely missing from the existing literature," David told PsyPost.
"There is a hype in popular and scientific venues regarding the efficacy of psychedelics to affect a fundamental shift in our response to the theme of death. In particular, ayahuasca has long been described as the 'vine of the dead' (translation from Quechua) and death-related themes are pervasive in ayahuasca visions," added Dor-Ziderman, a research director at the University of Haifa and visiting scholar at Padova University.
"However, there has been surprisingly little empirical work on how such encounters shape one's relationship with mortality. Furthermore, most existing studies rely on single self-report scales and overlook the unconscious, behavioral, and cognitive layers of how humans process death. We wanted to provide a comprehensive, multidimensional assessment of "death processing," and to identify the causal mechanisms which mediate, or account for, long-term differences in death processing between ayahuasca users and non-users."
To examine how these individuals relate to death, the researchers administered a detailed set of questionnaires and behavioral tasks. These included measures of death anxiety, fear of personal death, death-avoidant behaviors, and death acceptance. They also used implicit tasks, such as response times to death-related words, to capture unconscious reactions. The idea was to get a broad, multi-dimensional picture of how people think and feel about mortality.
The researchers found statistically significant differences between the two groups. Compared to non-users, ayahuasca users scored lower on death anxiety, were less likely to avoid thinking about death, showed fewer fear responses, and expressed greater acceptance of mortality. These patterns held true across both self-report and behavioral measures. Notably, even the subtle response time tasks pointed in the same direction.
The effect sizes were moderate to large, suggesting these differences are not just statistical artifacts. The changes showed up in emotional, cognitive, and behavioral domains alike, which the authors interpret as evidence of a generalized shift in how ayahuasca users process the idea of death.
"Although these findings should be interpreted with caution, since this was a cross-sectional and mostly self-report study, our results suggest that ayahuasca use may help people feel less anxious about death and more accepting of it, especially among long-term users," David said.
The researchers then looked at several possible explanations for these differences. They examined whether ayahuasca users held stronger beliefs in life after death, which could potentially make them less afraid of dying. They also tested for differences in personality traits, such as openness to experience or neuroticism, and trait mindfulness.
While ayahuasca users did score higher on all of these traits, none of them explained the group differences in death processing. In other words, although ayahuasca users were more open, less neurotic, more mindful, and more likely to believe in some form of existence after death, these factors did not statistically account for their lower death anxiety and higher acceptance.
Instead, one psychological variable stood out: impermanence acceptance. This concept refers to an attitude of openness toward the fact that all things—including life itself—are temporary. People who score high on impermanence acceptance tend to feel less distressed by change and more at ease with the idea that nothing lasts forever."This is a cross-cultural concept found mainly in Buddhism that refers to the acceptance that everything is always changing, and that change is a natural part of life," David explained.
Interestingly, simple awareness of impermanence—knowing that things change—was not enough to predict lower death anxiety. It was the emotional acceptance of this fact, rather than intellectual acknowledgment, that seemed to matter
"Our results were more decisive than we expected," Dor-Ziderman told PsyPost. "We anticipated ayahuasca users to fear death less, but we did not anticipate that impermanence acceptance—and not afterlife beliefs or personality—would emerge as the key mediator in all of the death processing indices we examined. That even self-identified materialists showed the same pattern, which challenges the common idea that psychedelic comfort with death depends on adopting metaphysical beliefs. This last point is important as it suggests that psychedelics can be beneficial regardless of ontological beliefs."
The researchers also explored what aspects of ayahuasca experiences might shape this attitude toward impermanence. The researchers looked at various factors, including frequency of use, age at first use, and how recently participants had taken the substance. None of these usage patterns predicted impermanence acceptance.
However, one aspect of the ayahuasca experience did: ego dissolution. Participants who reported stronger episodes of ego dissolution—where their usual sense of self faded or broke down—also tended to score higher on impermanence acceptance. This suggests that certain acute, subjective experiences during ayahuasca sessions may help reorient people's attitudes toward change and mortality.
The authors speculate that temporarily losing one's sense of a fixed identity may help the brain "train" for death in a psychological sense. The mind may learn that even its most stable perceptions—like the boundaries of the self—are not permanent. This realization may generalize to a broader understanding of impermanence and eventually reduce existential fear.
Another question is whether these changes apply only to ayahuasca, or whether similar effects would appear with other psychedelics. The authors are already running a follow-up study with psilocybin users, and preliminary results suggest a similar pattern, pointing toward a broader effect across psychedelic substances.
"It is important to acknowledge that the sample size of the study was relatively small (a little more than 100 participants overall), and like any other study—results need to be replicated," Dor-Ziderman told PsyPost. "In the this regard we can already report that we are currently working on a replication study, this time with psilocybin (magic mushrooms) users, and it appears our results replicate. That our results replicate to an independent sample which consume a different psychedelic indicates that our results are solid, and furthermore, that they relate to psychedelics in general and not just ayahuasca."
"The results indicated that in this regard, ayahuasca users were no different that healthy controls—their denial mechanism seemed to be intact. This finding was somewhat surprising as in another study we found that long-terms meditators' brains did evidence a shift from death denial to acceptance, and our initial assumption was that self/ego-dissolution (which both populations experienced) were the causal mechanism. So there is something to be said for training the mind and arriving at certain experiences rather than taking pharmacological 'shortcuts'—at least in regard to deeply rooted long-term effects. However, we are still investigating this and are seeking to replicate these findings, so stay tuned."
The study, "Embracing change: impermanence acceptance mediates differences in death processing between long-term ayahuasca users and non-users," was authored by Jonathan David, Aviva Berkovich-Ohana, and Yair Dor-Ziderman.