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Scientists find curvy answer to harnessing ‘swarm intelligence’

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Scientists find curvy answer to harnessing ‘swarm intelligence’


Pictured above are robots, used in the Proceedings of the National Academy of Sciences study, that have the potential to advance “artificial swarm intelligence”—a type of AI that mimics flocking birds and schooling fish. Credit: Luco Buise

Birds flock in order to forage and move more efficiently. Fish school to avoid predators. And bees swarm to reproduce. Recent advances in artificial intelligence have sought to mimic these natural behaviors as a way to potentially improve search-and-rescue operations or to identify areas of wildfire spread over vast areas—largely through coordinated drone or robotic movements. However, developing a means to control and utilize this type of AI—or “swarm intelligence”—has proved challenging.

In a Proceedings of the National Academy of Sciences paper, an international team of scientists describes a framework designed to advance —by controlling flocking and swarming in ways that are akin to what occurs in nature.

“One of the great challenges of designing robotic swarms is finding a decentralized control mechanism,” explains Matan Yah Ben Zion, an assistant professor at the Donders Center for Cognition at the Netherlands’ Radboud University and one of the authors of the paper.

“Fish, bees, and birds do this very well—they form magnificent structures and function without a singular leader or a directive. By contrast, synthetic swarms are nowhere near as agile—and controlling them for large-scale purposes is not yet possible.”

The research team, which included NYU scientists Mathias Casiulis and Stefano Martiniani, addressed these challenges by developing geometric design rules for the clustering of self-propelled particles. These rules are modeled using natural computation—similar to the “positive” or “negative” charges in protons and electrons that are foundational to the formation of matter.

Under these rules, active particles moving in response to external forces have an intrinsic property that causes them to curve—a quantity the researchers call “curvity.”

Scientists find curvy answer to harnessing 'swarm intelligence'
Credit: Luco Buise

“This curvature drives the collective behavior of the swarm, which points to a means to potentially control whether the swarm flocks, flows, or clusters,” explains NYU’s Martiniani, an assistant professor of physics, chemistry, and mathematics.

Their conclusion was supported by a series of experiments in which the scientists showed that the curvature-based criterion controls -pair attraction and naturally extends to thousands of robots. Each robot was treated as having a positive or negative curvity, and similar to , this curvity controls the robots’ mutual interactions.

“This charge-like quantity, which we call ‘curvity,” can take positive or negative values and can be directly encoded into the mechanical structure of the robot,” explains Ben Zion.

“As with particle charges, the value of the curvity determines how robots become attracted to one another in order to cluster or deflect from one another in order to flock.”

Ben Zion, who, as an NYU student, previously developed microscopic swimmers, added, “Finding a design rule of geometric nature, such as curvature, makes it applicable to industrial or delivery robots or to cellular-sized microscopic robots that have the potential to improve drug delivery and other medical treatments.”

“The best part is that these rules are based on elementary mechanics, making their implementation in a physical robot straightforward,” adds Casiulis, a postdoctoral researcher at New York University’s Center for Soft Matter Research and NYU’s Simons Center for Computational Physical Chemistry.

“More broadly, this work transforms the challenge of controlling swarms into an exercise in materials science, offering a simple design rule to inform future swarm engineering.”

More information:
Mathias Casiulis et al, A geometric condition for robot-swarm cohesion and cluster–flock transition, Proceedings of the National Academy of Sciences (2025). DOI: 10.1073/pnas.2502211122

Citation:
Scientists find curvy answer to harnessing ‘swarm intelligence’ (2025, September 9)
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It’s Not About the Bike: The Jackets and Lights to Keep You Cycling All Year Round

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It’s Not About the Bike: The Jackets and Lights to Keep You Cycling All Year Round


FAQs

We asked Joshua Hale, general manager of commuter bike specialists Quella, to answer all our questions on how to get your bike ready for winter and keep it running smoothly all year long.

How can cyclists stay visible to drivers without turning into a rolling Christmas tree?

It is not just the quantity of lights that’s important. Placement also makes a huge difference. A bright front and rear light are essential—ideally one steady and one flashing—to help you stand out without dazzling anyone on the road. Reflective details on moving parts like your jacket, ankles, or pedals also catch drivers’ eyes naturally. Good quality lights and reflective accents do a lot more than overloading on LEDs.

What’s the smartest way to layer clothing for warmth without overheating?

Layer clothing with breathability in mind. Start with a moisture-wicking base layer to keep sweat off your skin, add an insulating layer like a fleece or thermal jersey, and finish with a windproof or waterproof shell. You’ll warm up fast once you’re moving, so it’s better to start slightly cool. Zips and vents that can be opened on uphill climbs and closed on descents will come in handy. Other lightweight accessories such as gloves, a buff, and overshoes can also increase your comfort without adding bulk.

How can you adjust your tire size or pressure to ride safely on wet or icy roads?

In winter, opt for wider tires with a grippier tread—28 mm or more, if your bike allows it. The extra width increases contact with the road, giving better stability and traction. Lowering your pressure slightly (by around 10–15 psi) also improves grip on slippery surfaces without feeling sluggish. Avoid slick tires when it’s icy, and check your tires regularly, as wet roads pick up more glass and grit.

What are the easiest and most effective upgrades for commuters?

Mudguards are top of the list. They keep both you and your bike cleaner and drier. Good-quality lights with USB charging make daily use simpler, and winter-specific gloves can save your fingers on frosty mornings. Wider handlebars and padded bar tape also add comfort when the roads get rough. It’s all about small upgrades that make you want to keep riding, even when it’s cold and dark.

Why does your bike need more maintenance in the winter, and what quick maintenance tips can you suggest?

Winter is tough on bikes, with grit, salt, and moisture working their way into every moving part. Regular cleaning is the single best thing you can do, even if it’s just a quick rinse and wipe-down after wet rides. Keep your chain clean and lightly oiled, check brake pads more often, and make sure cables or hydraulic lines aren’t sticking. A few minutes of care each week prevents costly repairs later, and your bike will feel smoother and quieter every ride.



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PlayStation Portal’s Latest Update Proves Sony Needs a Real Handheld Console Again

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PlayStation Portal’s Latest Update Proves Sony Needs a Real Handheld Console Again


Another year, another update to Sony’s PlayStation Portal. The latest tweak to the hardware considerably expands the roster of games playable on the device—but the end result only highlights how urgently PlayStation needs to re-enter the gaming handheld market for real.

The evolution of PlayStation Portal has been fascinating to watch, mainly to see Sony practically scrambling to keep up with the gadget’s unexpected popularity. Launched November 2023, Portal was intended as a mere accessory for PlayStation 5. It had no native processing abilities, simply using Sony’s Remote Play technology to stream whatever happened on players’ personal PS5 to the portable’s screen.

Although it could technically be used anywhere with a strong Wi-Fi signal, difficulties connecting to public networks and high speed requirements to even launch a stream meant the Portal was effectively only suitable for in-home use, to free up the main TV or play in another room.

Somehow, it still took off, with Sony Interactive Entertainment CEO Hideaki Nishino saying in 2024 that the Portal had been a “huge success.” The same year, Sony made it easier to connect to public Wi-Fi and added actual cloud gaming support to Portal, with a selection of games on offer to players subscribing to PlayStation Plus Premium. The initial offering included “over 120 PS5 games from the PS Plus Game Catalog,” though the curated library was subject to change. It could have been a big shift in how players approached hardware and software alike, but, in practice, didn’t really deliver.

Even so, another year on and the Portal’s success seems unstoppable. Sony’s Takuro Fushimi recently told TechRadar that “the community’s response has been overwhelming” and that Portal is now the “most widely used device for PS5 Remote Play.” It’s little surprise, then, that Sony keeps trying to hammer it into something that looks, if you squint, like the standalone gaming handheld it was never intended to be, but that players so desperately want.

Clearer Skies?

Enter the newest update to PlayStation Portal. It takes Cloud Streaming out of its beta phase, expanding the streamable library from only those titles included in the PS Plus selection to many games digitally owned by players. Until now, if you didn’t have a game installed locally on your PS5 or it wasn’t included in that cloud catalog, too bad, no Portal play for you. Going forwards, you’ll be able to cloud stream many titles if they’re tied to your PlayStation account through purchase on the PlayStation Store—although you will still need to be subscribed at the PS Plus Premium tier to use the feature, which will set you back $160 for a full year.

The assortment available is already vast—more than 3,000 games at time of writing. On the face of it, this should be a transformative development for not just the Portal, but PlayStation as a gaming ecosystem. It potentially extends availability of titles you own to wherever you want to play them, and could even help alleviate data storage woes. Although the PS5’s internal drives can be expanded, SSDs can be pricey at higher capacities, and players with large digital collections often can’t install everything they own. Being able to stream games tied to your account without eating up drive space could be a great workaround.

The update also aims to improve the broader player experience on Portal. It finally adds the ability to make in-game purchases when cloud streaming (potentially useful if you want to buy some DLC or virtual currency), and allows players to receive game invites to multiplayer sessions when playing a game via the cloud. Previously, these features were only enabled for Remote Play gaming on Portal, since they were effectively being done through the PS5 and mirrored on the Portal’s screen. Accessibility features have also been improved, adding a screen reader tool and adjustable text sizes.



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For the First Time, AI Analyzes Language as Well as a Human Expert

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For the First Time, AI Analyzes Language as Well as a Human Expert


The original version of this story appeared in Quanta Magazine.

Among the myriad abilities that humans possess, which ones are uniquely human? Language has been a top candidate at least since Aristotle, who wrote that humanity was “the animal that has language.” Even as large language models such as ChatGPT superficially replicate ordinary speech, researchers want to know if there are specific aspects of human language that simply have no parallels in the communication systems of other animals or artificially intelligent devices.

In particular, researchers have been exploring the extent to which language models can reason about language itself. For some in the linguistic community, language models not only don’t have reasoning abilities, they can’t. This view was summed up by Noam Chomsky, a prominent linguist, and two coauthors in 2023, when they wrote in The New York Times that “the correct explanations of language are complicated and cannot be learned just by marinating in big data.” AI models may be adept at using language, these researchers argued, but they’re not capable of analyzing language in a sophisticated way.

Gašper Beguš, a linguist at the University of California, Berkeley.

Photograph: Jami Smith

That view was challenged in a recent paper by Gašper Beguš, a linguist at the University of California, Berkeley; Maksymilian Dąbkowski, who recently received his doctorate in linguistics at Berkeley; and Ryan Rhodes of Rutgers University. The researchers put a number of large language models, or LLMs, through a gamut of linguistic tests—including, in one case, having the LLM generalize the rules of a made-up language. While most of the LLMs failed to parse linguistic rules in the way that humans are able to, one had impressive abilities that greatly exceeded expectations. It was able to analyze language in much the same way a graduate student in linguistics would—diagramming sentences, resolving multiple ambiguous meanings, and making use of complicated linguistic features such as recursion. This finding, Beguš said, “challenges our understanding of what AI can do.”

This new work is both timely and “very important,” said Tom McCoy, a computational linguist at Yale University who was not involved with the research. “As society becomes more dependent on this technology, it’s increasingly important to understand where it can succeed and where it can fail.” Linguistic analysis, he added, is the ideal test bed for evaluating the degree to which these language models can reason like humans.

Infinite Complexity

One challenge of giving language models a rigorous linguistic test is making sure they don’t already know the answers. These systems are typically trained on huge amounts of written information—not just the bulk of the internet, in dozens if not hundreds of languages, but also things like linguistics textbooks. The models could, in theory, simply memorize and regurgitate the information that they’ve been fed during training.

To avoid this, Beguš and his colleagues created a linguistic test in four parts. Three of the four parts involved asking the model to analyze specially crafted sentences using tree diagrams, which were first introduced in Chomsky’s landmark 1957 book, Syntactic Structures. These diagrams break sentences down into noun phrases and verb phrases and then further subdivide them into nouns, verbs, adjectives, adverbs, prepositions, conjunctions and so forth.

One part of the test focused on recursion—the ability to embed phrases within phrases. “The sky is blue” is a simple English sentence. “Jane said that the sky is blue” embeds the original sentence in a slightly more complex one. Importantly, this process of recursion can go on forever: “Maria wondered if Sam knew that Omar heard that Jane said that the sky is blue” is also a grammatically correct, if awkward, recursive sentence.



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