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How Autonomous Drone Warfare Is Emerging in Ukraine

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WHEN KYIV-BORN ENGINEER Yaroslav Azhnyuk thinks about the future, his mind conjures up dystopian images. He talks about “swarms of autonomous drones carrying other autonomous drones to protect them against autonomous drones, which are trying to intercept them, controlled by AI agents overseen by a human general somewhere.” He also imagines flotillas of autonomous submarines, each carrying hundreds of drones, suddenly emerging off the coast of California or Great Britain and discharging their cargoes en masse to the sky.

“How do you protect from that?” he asks as we speak in late December 2025; me at my quiet home office in London, he in Kyiv, which is bracing for another wave of missile attacks.

Azhnyuk is not an alarmist. He cofounded and was formerly CEO of Petcube, a California-based company that uses smart cameras and an app to let pet owners keep an eye on their beloved creatures left alone at home. A self-described “liberal guy who didn’t even receive military training,” Azhnyuk changed his mind about developing military tech in the months following the Russian invasion of Ukraine in February 2022. By 2023, he had relinquished his CEO role at Petcube to do what many Ukrainian technologists have done—to help defend his country against a mightier aggressor.

It took a while for him to figure out what, exactly, he should be doing. He didn’t join the military, but through friends on the front line, he witnessed how, out of desperation, Ukrainian troops turned to off-the-shelf consumer drones to make up for their country’s lack of artillery.

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Ukrainian troops first began using drones for battlefield surveillance, but within a few months they figured out how to strap explosives onto them and turn them into effective, low-cost killing machines. Little did they know they were fomenting a revolution in warfare.

Group observes a drone demonstration indoors, with a presenter explaining features.

Compact black camera module with textured surface and orange ribbon cable on white background.The Ukrainian robotics company The Fourth Law produces an autonomy module [above] that uses optics and AI to guide a drone to its target. Yaroslav Azhnyuk [top, in light shirt], founder and CEO of The Fourth Law, describes a developmental drone with autonomous capabilities to Ukrainian President Volodymyr Zelenskyy and German Chancellor Olaf Scholz.Top: THE PRESIDENTIAL OFFICE OF UKRAINE; Bottom: THE FOURTH LAW

That revolution was on display last month, as the U.S. and Israel went to war with Iran. It soon became clear that attack drones are being extensively used by both sides. Iran, for example, is relying heavily on the Shahed drones that the country invented and that are now also being manufactured in Russia and launched by the thousands every month against Ukraine.

A thorough analysis of the Middle East conflict will take some time to emerge. And so to understand the direction of this new way of war, look to Ukraine, where its next phase—autonomy—is already starting to come into view. Outnumbered by the Russians and facing increasingly sophisticated jamming and spoofing aimed at causing the drones to veer off course or fall out of the sky, Ukrainian technologists realized as early as 2023 that what could really win the war was autonomy. Autonomous operation means a drone isn’t being flown by a remote pilot, and therefore there’s no communications link to that pilot that can be severed or spoofed, rendering the drone useless.

By late 2023, Azhnyuk set out to help make that vision a reality. He founded two companies, The Fourth Law and Odd Systems, the first to develop AI algorithms to help drones overcome jamming during final approach, the second to build thermal cameras to help those drones better sense their surroundings.

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“I moved from making devices that throw treats to dogs to making devices that throw explosives on Russian occupants,” Azhnyuk quips.

Since then, The Fourth Law has dispatched “more than thousands” of autonomy modules to troops in eastern Ukraine (it declines to give a more specific figure), which can be retrofitted on existing drones to take over navigation during the final approach to the target. Azhnyuk says the autonomy modules, worth around US $50, increase the drone-strike success rate by up to four times that of purely operator-controlled drones.

And that is just the beginning. Azhnyuk is one of thousands of developers, including some who relocated from Western countries, who are applying their skills and other resources to advancing the drone technology that is the defining characteristic of the war in Ukraine. This eclectic group of startups and founders includes Eric Schmidt, the former Google CEO, whose company Swift Beat is churning out autonomous drones and modules for Ukrainian forces. The frenetic pace of tech development is helping a scrappy, innovative underdog hold at bay a much larger and better-equipped foe.

All of this development is careening toward AI-based systems that enable drones to navigate by recognizing features in the terrain, lock on to and chase targets without an operator’s guidance, and eventually exchange information with each other through mesh networks, forming self-organizing robotic kamikaze swarms. Such an attack swarm would be commanded by a single operator from a safe distance.

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According to some reports, autonomous swarming technology is also being developed for sea drones. Ukraine has had some notable successes with sea drones, which have reportedly destroyed or damaged around a dozen Russian vessels.

Hand holding a drone with six rotors, outdoors against a blue sky.The Skynode X system, from Auterion, provides a degree of autonomy to a drone.AUTERION

For Ukraine, swarming can solve a major problem that puts the nation at a disadvantage against Russia—the lack of personnel. Autonomy is “the single most impactful defense technology of this century,” says Azhnyuk. “The moment this happens, you shift from a manpower challenge to a production challenge, which is much more manageable,” he adds.

The autonomous warfare future envisioned by Azhnyuk and others is not yet a reality. But Marc Lange, a German defense analyst and business strategist, believes that “an inflection point” is already in view. Beyond it, “things will be so dramatically different,” he says.

“Ukraine pretty rapidly realized that if the operator-to-drone ratio can be shifted from one-to-one to one-to-many, that creates great economies of scale and an amazing cost exchange ratio,” Lange adds. “The moment one operator can launch 100, 50, or even just 20 drones at once, this completely changes the economics of the war.”

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Drones With a View

For a while, jammers that sever the radio links between drones and operators or that spoof GPS receivers were able to provide fairly reliable defense against human-controlled first-person-view attack drones (FPVs). But as autonomous navigation progressed, those electronic shields have gradually become less effective. Defenders must now contend with unjammable drones—ones that are attached to hair-thin optical fibers or that are capable of finding their way to their targets without external guidance. In this emerging struggle, the defenders’ track records aren’t very encouraging: The typical countermeasure is to try to shoot down the attacking drone with a service weapon. It’s rarely successful.

Truck on rural road covered with camouflage netting, trees and fields in the background.A truck outfitted with signal-jamming gear drives under antidrone nets near Oleksandriya, in eastern Ukraine, on 2 October 2025.ED JONES/AFP/GETTY IMAGES

“The attackers gain an immense advantage from unmanned systems,” says Lange. “You can have a drone pop up from anywhere and it can wreak havoc. But from autonomy, they gain even more.”

The self-navigating drones rely on image-recognition algorithms that have been around for over a decade, says Lange. And the mass deployments of drones on Ukrainian battlefields are enabling both Russian and Ukrainian technologists to create huge datasets that improve the training and precision of those AI algorithms.

Six-wheeled robotic vehicle with mounted equipment in a grassy field.A Ukrainian land robot, the Ravlyk, can be outfitted with a machine gun.

While uncrewed aerial vehicles (UAVs) have received the most attention, the Ukrainian military is also deploying dozens of different kinds of drones on land and sea. Ukraine, struggling with the shortage of infantry personnel, began working on replacing a portion of human soldiers with wheeled ground robots in 2024. As of early 2026, thousands of ground robots are crawling across the gray zone along the front line in Eastern Ukraine. Most are used to deliver supplies to the front line or to help evacuate the wounded, but some “killer” ground robots fitted with turrets and remotely controlled machine guns have also been tested.

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In mid-February, Ukrainian authorities released a video of a Ukrainian ground robot using its thermal camera to detect a Russian soldier in the dark of the night and then kill the invader with a round from a heavy machine gun. So far these robots are mostly controlled by a human operator, but the makers of these uncrewed ground vehicles say their systems are capable of basic autonomous operations, such as returning to base when radio connection is lost. The goal is to enable them to swarm so that one operator controls not one, but a whole herd of mesh-connected killer robots.

But Bryan Clark, senior fellow and director of the Center for Defense Concepts and Technology at the Hudson Institute, questions how quickly ground robots’ abilities can progress. “Ground environments are very difficult to navigate in because of the terrain you have to address,” he says. “The line of sight for the sensors on the ground vehicles is really constrained because of terrain, whereas an air vehicle can see everything around it.”

To achieve autonomy, maritime drones, too, will require navigational approaches beyond AI-based image recognition, possibly based on star positions or electronic signals from radios and cell towers that are within reach, says Clark. Such technologies are still being developed or are in a relatively early operational stage.

How the Shaheds Got Better

Russia is not lagging behind. In fact, some analysts believe its autonomous systems may be slightly ahead of Ukraine’s. For a good example of the Russian military’s rapid evolution, they say, consider the long-range Iranian-designed Shahed drones. Since 2022, Russia has been using them to attack Ukrainian cities and other targets hundreds of kilometers from the front line. “At the beginning, Shaheds just had a frame, a motor, and an inertial navigation system,” Oleksii Solntsev, CEO of Ukrainian defense tech startup MaXon Systems, tells me. “They used to be imprecise and pretty stupid. But they are becoming more and more autonomous.” Solntsev founded MaXon Systems in late 2024 to help protect Ukrainian civilians from the growing threat of Shahed raids.

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Silhouette of a triangular drone flying in the sky.A Russian Geran-2 drone, based on the Iranian Shahed-136, flies over Kyiv during an attack on 27 December 2025.SERGEI SUPINSKY/AFP/GETTY IMAGES

First produced in Iran in the 2010s, Shaheds can carry 90-kilogram warheads up to 650 km (50-kg warheads can go twice as far). They cost around $35,000 per unit, compared to a couple of million dollars, at least, for a ballistic missile. The low cost allows Russia to manufacture Shaheds in high quantities, unleashing entire fleets onto Ukrainian cities and infrastructure almost every night.

The early Shaheds were able to reach a preprogrammed location based on satellite-navigation coordinates. Even one of these early models could frequently overcome the jamming of satellite-navigation signals with the help of an onboard inertial navigation unit. This was essentially a dead-reckoning system of accelerators and gyroscopes that estimate the drone’s position from continual measurements of its motions.

Silhouette of person with large equipment under a starry night sky.In the Donetsk Region, on 15 August 2025, a Ukrainian soldier hunts for Shaheds and other drones with a thermalimaging system attached to a ZU23 23-millimeter antiaircraft gun.KOSTYANTYN LIBEROV/LIBKOS/GETTY IMAGES

Ukrainian defense forces learned to down Shaheds with heavy machine guns, but as Russia continued to innovate, the daily onslaughts started to become increasingly effective.

Today’s Shaheds fly faster and higher, and therefore are more difficult to detect and take down. Between January 2024 and August 2025, the number of Shaheds and Shahed-type attack drones launched by Russia into Ukraine per month increased more than tenfold, from 334 to more than 4,000. In 2025, Ukraine found AI-enabling Nvidia chipsets in wreckages of Shaheds, as well as thermal-vision modules capable of locking onto targets at night.

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“Now, they are interconnected, which allows them to exchange information with each other,” Solntsev says. “They also have cameras that allow them to autonomously navigate to objects. Soon they will be able to tell each other to avoid a jammed region or an area where one of them got intercepted.”

These Russian-manufactured Shaheds, which Russian forces call Geran-2s, are thought to be more capable than the garden variety Shahed-136s that Iran has lately been launching against targets throughout the Middle East. Even the relatively primitive Shahed-136s have done considerable damage, according to press accounts.

Those Shahed successes may accrue, at least in part, from the fact that the United States and Israel lack Ukraine’s long experience with fending them off. In just two days in early March, upward of a thousand drones, mostly Shaheds, were launched against U.S. and Israeli targets, with hundreds of them reportedly finding their marks.

One attack, caught on videotape, shows a Shahed destroying a radar dome at the U.S. navy base in Manama, Bahrain. U.S. forces were understood to be attempting to fend off the drones by striking launch platforms, dispatching fighter aircraft to shoot them down, and by using some extremely costly air-defense interceptors, including ones meant to down ballistic missiles. On 4 March, CNN reported that in a congressional briefing the day before, top U.S. defense officials, including Secretary of Defense Pete Hegseth, acknowledged that U.S. air defenses weren’t keeping up with the onslaught of Shahed drones.

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Broken drone on soil, cylindrical container nearby.Russian V2U attack drones are outfitted with Nvidia processors and run computer-vision software and AI algorithms to enable the drones to navigate autonomously.GUR OF THE MINISTRY OF DEFENSE OF UKRAINE

Russia is also starting to field a newer generation of attack drones. One of these, the V2U, has been used to strike targets in the Sumy region of northeastern Ukraine. The V2U drones are outfitted with Nvidia Jetson Orin processors and run computervision software and AI algorithms that allow the drones to navigate even where satellite navigation is jammed.

The sale of Nvidia chips to Russia is banned under U.S. sanctions against the country. However, press reports suggest that the chips are getting to Russia via intermediaries in India.

Antidrone Systems Step Up

MaXon Systems is one of several companies working to fend off the nightly drone onslaught. Within one year, the company developed and battle-tested a Shahed interception system that hints at the sci-fi future envisioned by Azhnyuk. For a system to be capable of reliably defending against autonomous weaponry, it, too, needs to be autonomous.

MaXon’s solution consists of ground turrets scanning the sky with infrared sensors, with additional input from a network of radars that detects approaching Shahed drones at distances of, typically, 12 to 16 km. The turrets fire autonomous fixed-winged interceptor drones, fitted with explosive warheads, toward the approaching Shaheds at speeds of nearly 300 km/h. To boost the chances of successful interception, MaXon is also fielding an airborne anti-Shahed fortification system consisting of helium-filled aerostats hovering above the city that dispatch the interceptors from a higher altitude.

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“We are trying to increase the level of automation of the system compared to existing solutions,” says Solntsev. “We need automatic detection, automatic takeoff, and automatic mid-track guidance so that we can guide the interceptor before it can itself flock the target.”

Gray drone on display stand, surrounded by military personnel in camouflage uniforms.An interceptor drone, part of the U.S. MEROPS defensive system, is tested in Poland on 18 November 2025.WOJTEK RADWANSKI/AFP/GETTY IMAGES

In November 2025, the Ukrainian military announced it had been conducting successful trials of the Merops Shahed drone interceptor system developed by the U.S. startup Project Eagle, another of former Google CEO Eric Schmidt’s Ukraine defense ventures. Like the MaXon gear, the system can operate largely autonomously and has so far downed over 1,000 Shaheds.

What Works in the Lab Doesn’t Necessarily Fly on the Battlefield

Despite the progress on both sides, analysts say that the kind of robotic warfare imagined by Azhnyuk won’t be a reality for years.

“The software for drone collaboration is there,” says Kate Bondar, a former policy advisor for the Ukrainian government and currently a research fellow at the U.S. Center for Strategic and International Studies. “Drones can fly in labs, but in real life, [the forces] are afraid to deploy them because the risk of a mistake is too high,” she adds.

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Two people launching a drone in an open field using a catapult system.Ukrainian soldiers watch a GOR reconnaissance drone take to the sky near Pokrovsk in the Donetsk region, on 10 March 2025.ANDRIY DUBCHAK/FRONTLINER/GETTY IMAGES

In Bondar’s view, powerful AI-equipped drones won’t be deployed in large numbers given the current prices for high-end processors and other advanced components. And, she adds, the more autonomous the system needs to be, the more expensive are the processors and sensors it must have. “For these cheap attack drones that fly only once, you don’t install a high-resolution camera that [has] the resolution for AI to see properly,” she says. “[You install] the cheapest camera. You don’t want expensive chips that can run AI algorithms either. Until we can achieve this balance of technological sophistication, when a system can conduct a mission but at the lowest price possible, it won’t be deployed en masse.”

While existing AI systems are doing a good job recognizing and following large objects like Shaheds or tanks, experts question their ability to reliably distinguish and pursue smaller and more nimble or inconspicuous targets. “When we’re getting into more specific questions, like can it distinguish a Russian soldier from a Ukrainian soldier or at least a soldier from a civilian? The answer is no,” says Bondar. “Also, it’s one thing to track a tank, and it’s another to track infantrymen riding buggies and motorcycles that are moving very fast. That’s really challenging for AI to track and strike precisely.”

Clark, at the Hudson Institute, says that although the AI algorithms used to guide the Russian and Ukrainian drones are “pretty good,” they rely on information provided bysensors that “aren’t good enough.” “You need multiphenomenology sensors that are able to look at infrared and visual and, in some cases, different parts of the infrared spectrum to be able to figure out if something is a decoy or real target,” he says.

German defense analyst Lange agrees that right now, battlefield AI image-recognition systems are too easily fooled. “If you compress reality into a 2D image, a lot of things can be easily camouflaged—like what Russia did recently, when they started drawing birds on the back of their drones,” he says.

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Autonomy Remains Elusive on the Ground and at Sea, Too

To make Ukraine’s emerging uncrewed ground vehicles (UGVs) equally self-sufficient will be an even greater task, in Clark’s view. Still, Bondar expects major advances to materialize within the next several years, even if humans are still going to be part of the decision-making loop.

Military radar equipment in a grassy field.A mobile electronic-warfare system built by PiranhaTech is demonstrated near Kyiv on 21 October 2025.DANYLO ANTONIUK/ANADOLU/GETTY IMAGES

“I think in two or three years, we will have pretty good full autonomy, at least in good weather conditions,” she says, referring to aerial drones in particular. “Humans will still be in the loop for some years, simply because there are so many unpredictable situations when you need an intervention. We won’t be able to fully rely on the machine for at least another 10 or 15 years.”

Ukrainian defenders are apprehensive about that autonomous future. The boom of drone innovation has come hand in hand with the development of sophisticated jamming and radio-frequency detection systems. But a lot of that innovation will become obsolete once the pendulum swings away from human control. Ukrainians got their first taste of dealing with unjammable drones in mid-2024, when Russia began rolling out fiber-optic tethered drones. Now they have to brace for a threat on a much larger scale.

Quadcopter drone flying with a fire extinguisher attached in a cloudy sky.An experimental drone is demonstrated at the Brave1 defense-tech incubator in Kyiv.DANYLO DUBCHAK/FRONTLINER/GETTY IMAGES

“Today, we have a situation where we have lots of signals on the battlefield, but in the near future, in maybe two to five years, UAVs are not going to be sending any signals,” says Oleksandr Barabash, CTO of Falcons, a Ukrainian startup that has developed a smart radio-frequency detection system capable of revealing precise locations of enemy radio sources such as drones, control stations, and jammers.

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Last September, Falcons secured funding from the U.S.-based dual-use tech fund Green Flag Ventures to scale production of its technology and work toward NATO certification. But Barabash admits that its system, like all technologies fielded in Ukrainian war zones, has an expiration date. Instead of radio-frequency detectors, Barabash thinks, the next R&D push needs to focus on passive radar systems capable of identifying small and fast-moving targets based on the signal from sources like TV towers or radio transmitters that propagate through the environment and are reflected by those moving targets. Passive radars have a significant advantage in the war zone, according to Barabash. Since they don’t emit their own signal, they can’t be that easily discovered by the enemy.

“Active radar is emitting signals, so if you are using active radars, you are target No. 1 on the front line,” Barabash says.

Bondar, on the other hand, thinks that the increased onboard compute power needed for AI-controlled drones will, by itself, generate enough electromagnetic radiation to prevent autonomous drones from ever operating completely undetectably.

“You can have full autonomy, but you will still have systems onboard that emit electromagnetic radiation or heat that can be detected,” says Bondar. “Batteries emit electromagnetic radiation, motors emit heat, and [that heat can be] visible in infrared from far away. You just need to have the right sensors to be able to identify it in advance.” She adds that that takeaway is “how capable contemporary detection systems have become and how technically challenging it is to design drones that can reliably operate in the Ukrainian battlefield environment.”

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There Will Be Nowhere to Hide from Autonomous Drones

When autonomous drones become a standard weapon of war, their threat will extend far beyond the battlefields of Ukraine. Autonomous turrets and drone-interceptor fortification might soon dot the perimeter of European cities, particularly in the eastern part of the continent.

Person holding gray drone against a blue sky, preparing to launch it.A fixed-wing drone is tested in Ukraine in April 2025.ANDREWKRAVCHENKO/BLOOMBERG/GETTY IMAGES

Nefarious actors from all over the world have closely watched Ukraine and taken notes, warns Lange. Today, FPV drones are being used by Islamic terrorists in Africa and Mexican drug cartels to fight against local authorities.

When autonomous killing machines become widely available, it’s likely that no city will be safe. “We might see nets above city centers, protecting civilian streets,” Lange says. “In every case, the West needs to start performing similar kinetic-defense development that we see in Ukraine. Very rapid iteration and testing cycles to find solutions.”

Azhnyuk is concerned that the historic defenders of Europe—the United States and the European countries themselves—are falling behind. “We are in danger,” he says. While Russia and Ukraine made major strides in their drones and countermeasures over the past year, “Europe and the United States have progressed, in the best-case scenario, from the winter-of-2022 technology to the summer-of-2022 technology.

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“The gap is getting wider,” he warns. “I think the next few years are very dangerous for the security of Europe.”

This article appears in the April 2026 print issue as “Rise of the AUTONOMOUS Attack Drones.”

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EE TV is using AI to help you find something to watch

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EE is taking aim at one of streaming’s biggest annoyances, endlessly scrolling for something to watch.

The company has launched Smart Search, a new AI-powered feature on EE TV. It lets users find content simply by describing what they’re in the mood for.

Instead of typing exact titles, Smart Search understands more natural queries like “a funny detective show” or even a quote from a scene. It then pulls results from across live TV, on-demand services and integrated streaming apps. As a result, it presents everything in one place.

The idea is simple: less app-hopping, more watching.

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Alongside it, EE is introducing Mood Matcher, another AI-driven tool designed to tackle the “what should we watch?” problem. Users answer a few quick prompts about mood, genre or themes. The system then serves up tailored recommendations. This is something EE says is particularly useful when multiple people are trying to agree on what to watch.

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The launch leans heavily on a very real problem. EE’s own research suggests 41% of viewers struggle to discover new content, while 45% fall back on rewatching shows just to avoid the effort of choosing. Perhaps more tellingly, 38% say deciding what to watch causes household tension which probably sounds familiar.

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There’s also the issue of fragmentation. With 42% of users relying on their phones to find content and 61% wanting a more unified viewing experience, EE is positioning Smart Search as a way to bring everything together into a single interface.

That broader shift, making discovery as important as the content itself, is becoming a key battleground for TV platforms. As analyst Paolo Pescatore puts it, speed and simplicity are now just as critical as having a deep catalogue.

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Smart Search and Mood Matcher are available now through the EE TV app on compatible devices. A wider rollout is planned for EE TV Pro and EE TV Box Edge hardware in the near future.

For EE, the pitch is clear: stop searching like a database, and start searching like a human.

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What Are The Biggest Limitations Of Supercomputers?

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Supercomputers are built to solve very large, difficult problems and do it quickly. Instead of relying on a single processor, supercomputers like El Capitan at Lawrence Livermore National Laboratory and Frontier at Oak Ridge National Laboratory use a large number of processors working together simultaneously. That makes them especially useful for jobs like climate modeling, genetic research, nuclear simulations, artificial intelligence, and identifying flaws in jet engine design.

We’re not talking about quantum computers here, though. A supercomputer is still a classical computer: it uses ordinary bits, which are either 0 or 1, and it solves problems by doing massive numbers of conventional calculations very quickly. A quantum computer works differently by using quantum bits, or qubits. Quantum computing is still largely in the experimental and early developmental stage. Right now, the real work is being done by classical supercomputers, helping scientists explore problems that would take ordinary computers far too long to solve. Some of today’s fastest machines can perform more than a billion calculations per second.

Even so, supercomputers are not all-powerful. Their biggest limitations usually come down to four things: workload scaling, data transfer issues, power consumption, and reliability. Engineers are making progress on all four, but none of these problems has disappeared.

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Supercomputers work best when they can break tasks into chunks

One of the biggest limitations is that supercomputers are only useful for certain kinds of tasks. They are best at problems that can be broken into many smaller pieces and worked on concurrently. This is known as parallel processing; for example, a climate model can split the atmosphere and oceans into many sections and calculate each one in parallel. But some problems do not work that way. Some tasks have steps that must happen sequentially. When that happens, a supercomputer cannot speed things up very much. If part of a job has to wait for another task to be finished, the whole system slows down. The answer here often isn’t to add more hardware. Instead, it’s to redesign the software so more of the work can happen simultaneously. 

Another major limitation involves the process of moving data around. A supercomputer may be able to calculate incredibly quickly, but it still needs to fetch information from memory. In many cases, the machine is not limited by calculation speed, but by the time it takes to move data from one place to another. To mitigate this challenge, supercomputers store data physically closer to the processors to move it more efficiently. Researchers are also redesigning programs to reuse data more effectively instead of constantly fetching it.

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Supercomputers use a lot of power and have a lot of parts that can go wrong

Power use is also a huge limitation. The fastest supercomputers use enormous amounts of electricity. They also need advanced cooling systems to prevent overheating. This creates two problems. First, it makes supercomputers very expensive to run. Second, it raises environmental concerns, especially as people push back on the large data centers needed to house them. Building better supercomputers will depend not only on making them more powerful, but also on making them more energy-efficient.

Another problem is reliability. A supercomputer contains an enormous number of parts: processors, memory units, cables, storage systems, cooling equipment, and more. The more parts a machine has, the more chances there are for something to go wrong. A loose cable, faulty memory chip, or cooling issue can interrupt a major calculation. This matters because some scientific jobs run for hours or days. If something fails midway through, that work may need to be restarted or recovered from a saved checkpoint. Engineers employ tools like the Lawrence Livermore National Laboratory’s Scalable Checkpoint/Restart (SCR) to minimize the amount of work lost when an issue occurs, but there’s no way to fully prevent hardware issues from occurring. After all, building a massive machine also means there are a massive number of things that can break.

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Daily Deal: StackSkills Premium Annual Pass

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StackSkills Premium is your destination for mastering today’s most in-demand skills wherever and whenever your schedule allows. Now, with this exclusive limited-time offer, you’ll gain access to 1000+ StackSkills courses for just one low annual fee! Whether you’re looking to earn a promotion, make a career change, or pick up a side hustle to make some extra cash, StackSkills delivers engaging online courses featuring the skills that matter most today. From blockchain to growth hacking to iOS development, StackSkills stays ahead of the hottest trends to offer the most relevant courses and up-to-date information. Best of all, StackSkills’ elite instructors are experts in their fields and are passionate about sharing learnings based on first-hand successes and failures. If you’re ready to commit to your personal and career growth, you won’t want to pass on this incredible all access pass to the web’s top online courses. It’s on sale for $60.

Note: The Techdirt Deals Store is powered and curated by StackCommerce. A portion of all sales from Techdirt Deals helps support Techdirt. The products featured do not reflect endorsements by our editorial team.

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Flipsnack and the shift toward motion-first business content with living visuals

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Interactive content now generates 52.6% higher engagement than static formats, with users spending significantly longer interacting with dynamic media and showing higher recall for brands that use it. In practical terms, that shift may have transformed expectations around how digital content should be produced, especially in commerce and B2B environments, where attention is often a […]

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See The Computers That Powered The Voyager Space Program

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Have you ever wanted to see the computers behind the first (and for now only) man-made objects to leave the heliosphere? [Gary Friedman] shows us, with an archived tour of JPL building 230 in the ’80s.

A NASA employee picks up a camcorder and decides to record a tour of the place “before they replace it all with mainframes”. They show us computers that would seem prehistoric compared to anything modern; early Univac and IBM machines whose power is outmatched today by even an ESP32, yet made the Voyager program possible all the way back in 1977. There are countless peripherals to see, from punch card writers to Univac debug panels where you can see the registers, and from impressive cabinets full of computing hardware to the zip-tied hacks “attaching” a small box they call the “NIU”, dangling off the inner wall of the cabinet. And don’t forget the tape drives that are as tall as a refrigerator!

We could go on ad nauseum, nerding out about the computing history, but why don’t you see it for yourself in the video after the break?

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Thanks to [Michael] for the tip!

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Invences Provides Smart Telecom Networks to Small Firms

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To stay competitive, many small businesses need advanced wireless communication networks, not only to communicate but also to leverage technologies such as artificial intelligence, the Internet of Things, and robotics. Often, however, the businesses lack the technical expertise needed to install, configure, and maintain the systems.

Bhaskara Rallabandi, who spent more than two decades working for major telecom companies, decided to use his expertise to help small businesses. Rallabandi, an IEEE senior member, is an expert certified by the International Council on Systems Engineering.

Invences

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Bhaskara Rallabandi

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Frisco, Texas

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100

In 2023 he helped found Invences, a telecommunications automation company headquartered in Frisco, Texas.

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Invences services include designing, building, and installing data centers, as well as cost-effective and secure wireless, private, IoT, and virtual communications networks.

The company has set up systems for farms, factories, and universities in rural and urban areas including underserved communities. Its mission, Rallabandi says, is to “build autonomous, ethical, and sustainable networks that connect communities intelligently.”

For his work, he was recognized last year for “entrepreneurial leadership in founding and scaling a U.S.-based technology company, advancing innovation in 5G/6G and Open RAN [radio access network], shaping global standards, and inspiring future leaders through mentorship and community impact” with the IEEE-USA Entrepreneur Achievement Award for Leadership in Entrepreneurial Spirit.

Building a telecommunications career

He began his telecommunications career in 2009 as a manager and principal network engineer at Verizon’s Innovation Labs in Waltham, Mass. He and his team ran some of the earliest long-term evolution and evolved packet core performance trials. (LTE is the 4G wireless broadband standard for mobile devices. EPC is the IP-based, high-performance core network architecture for 4G LTE networks.)

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That work at Innovation Labs, he says, was key to the development of the first 4G systems. It set the stage for scalable, interoperable broadband architectures that underpin today’s 5G and 6G designs.

“We built the first bridge between legacy and cloud-native networks,” he says.

He left in 2011 to join AT&T Labs in Redmond, Wash. As senior manager and principal solutions architect, he oversaw the design, integration, and testing of the company’s next-generation wireless systems. He also led projects that redefined automation of networks and set up cloud computing systems including FirstNet, the nationwide broadband network for first responders, and VoLTE, the first voice-over-video LTE for conducting video calls.

In 2018 Rallabandi was hired as a principal and a senior manager of engineering at Samsung Networks Division’s Technology Solutions Division, in Plano, Texas. He led the development of 5G virtualization and Open RAN initiatives, which enable more flexible, scalable, and efficient large network deployments and interoperability among vendors.

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Designing networks for small businesses

Feeling that he wasn’t reaching his full potential in the corporate world, and to help small businesses, he opted to start his own venture in 2023 with his wife, Lakshmi Rallabandi, a computer science engineer. She is Invences’s CEO, and he is its founding principal and chief technology advisor.

Invences, which is self-funded and employs about 100 people, has more than 50 customers from around the world.

“I wanted to do something more interesting where I could use the knowledge I gained working for these big companies to fill the gaps they overlooked in terms of automation” for small businesses, he says. “I have a team of people who, combined, have 200 years of technology experience.”

The startup builds networks that simplify its clients’ operations and reduce their costs, he says.

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Instead of duplicating how major telecom carriers build networks for dense urban areas, he says, his designs reimagine the network architecture to lower its complexity, costs, and operational overhead.

“Connectivity should not be a luxury. Rural communities deserve an infrastructure that fits their needs.”

The systems integrate new technologies such as Open RAN, virtualized RAN, digital twins, telemetry, and advanced analytics. Some networks also incorporate agentic AI, an autonomous system that runs independently of humans and uses AI agents that plan and act across the network. Digital twins evaluate the agent’s decisions before releasing them.

“Autonomy is not about removing humans from the loop,” Rallabandi says. “It is about giving systems the ability to manage complexity so humans can focus on intent and outcomes.”

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Rallabandi also has worked on AI-driven telecom observability technologies designed to allow networks to detect anomalies and optimize performance automatically.

He has developed a virtual O-RAN innovation lab, where clients can test the interoperability of their 5G systems, try out their enhancements, run trials of future functions, and experiment with updates.

Invences partnered with Trilogy Networks to build the FarmGrid platform for farms in Fargo, N.D., and Yuma, Ariz. FarmGrid used private 5G networks, edge-computing AI, and digital twins to make the operations more efficient.

“The project connects farms with sensors, analytics platforms, and autonomous equipment to enable precision agriculture, water optimization, and real-time decision-making,” Rallabandi says.

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IEEE Senior Member Bhaskara Rallabandi talks about partnering with Trilogy Networks to build the FarmGrid platform for farms in Fargo, N.D., and Yuma, Ariz.TECKNEXUS

Paying it forward through IEEE programs

Rallabandi says he believes staying involved with IEEE is important to his career development and a way to give back to the profession. He is a frequent invited speaker at IEEE conferences.

He is active with IEEE Future Networks and its Connecting the Unconnected (CTU) initiative. Members of the Future Networks technical community work to develop, standardize, and deploy 5G and 6G networks as well as successive generations.

CTU aims to bridge the digital divide by bringing Internet service to underserved communities. During itsannual challenge, Rallabandi works with the winning students, researchers, and innovators to help them turn their concepts into affordable, cost-effective options.

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“CTU represents the best of IEEE,” he says. “It is about taking innovation out of conferences and into communities that need it the most.

“Connectivity should not be a luxury. Rural communities deserve an infrastructure that fits their needs.”

He participates in the recently launched IEEE Future Networks Empowerment Through Mentorship initiative, which helps innovators, entrepreneurs, and startups expand their companies by educating them about finance, marketing, and related concepts.

“IEEE gives me both a voice and a responsibility,” Rallabandi says. “We’re not just developing technology; we are shaping how humanity connects.”

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Singapore’s PixVerse picks Seattle area for its first U.S. office amid $300M funding round

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AI video generator PixVerse is opening an office in Bellevue, Wash., and released its latest model, which it says “delivers complex scenes with coherent motion and consistent detail.” (PixVerse Image)

PixVerse, the Singapore-based AI video generator, is establishing its first U.S. office in Bellevue, Wash., and on Monday released the newest version of its model.

Earlier this month the startup announced a $300 million Series C round that raised its valuation to more than $1 billion and into unicorn territory. Unnamed sources cited by Bloomberg said the funds would help “accelerate its global expansion and target enterprise customers across North America and Asia.”

John He will lead the Seattle-area office as U.S. general manager, builder and chief of staff. He is PixVerse’s first and so far only U.S. employee, but is making job offers and hopes to build a team of six within the next couple of months. The Bellevue office will initially focus on product marketing and sales, with plans to expand into AI research and engineering this summer.

He is temporarily working out of an extraSlice co-working space while searching for a permanent office in downtown Bellevue. 

The company launched in 2024 and has at least 110 employees across its Singapore and Beijing offices, He said. There are also plans to open a second U.S. office in San Francisco.

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Key investors in PixVerse include Alibaba Capital Partners, Ant Group and 37 Interactive Entertainment, according to PitchBook.

He joined the startup from Salesforce, saying he was attracted to the PixVerse’s mission.

“It’s very simple,” he said. “They want to turn everyone’s imagination into reality.”

AI video generation tools have sparked major debates over ethics, misuse and sustainability. That includes concerns and legal challenges over deepfakes, copyright violations and the improper use of intellectual property. There are also significant environmental costs in energy and water usage given the high computational demands of AI video production.

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He defended the technology, saying that it doesn’t aim to replace human creativity and that artists using PixVerse are able to increase their earnings.

“It empowers regular people to do a better job,” he said.

PixVerse says it has more than 100 million users across 175 countries. Its latest model adds “precision camera control, expressive character performance, and one-click commercial output,” the company says.

Last week, The Wall Street Journal and others reported that OpenAI was shutting down Sora, its AI video generation platform used by consumers, filmmakers and other professionals. The decision, WSJ said, would allow OpenAI to focus on productivity tools for enterprise and individual users.

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OpenAI employees in the past have questioned the computational costs of the Sora technology and unproven demand from customers, WSJ added.

Other competitors in the space include Runway ML, Kling AI, Higgsfield and products from Google and Adobe.

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Pete Hegseth’s War On Truth

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from the good-news-only-is-not-journalism dept

This article is republished from The Conversation under a Creative Commons license. Read the original article.

Martha Gellhorn stowed away on a hospital ship to become the only woman journalist to land on Normandy Beach on D-Day. She carried stretchers before writing her harrowing account of the invasion.

The New Yorker’s famously epicurean writer A.J. Liebling subsisted on military rations and came under fire during World War II to describe what it was like for the soldiers and sailors at war.

Syndicated columnist Ernie Pyle died, in a helmet and Army fatigues, among some of the troops whose names and hometowns he carefully included in his dispatches. “At this spot, the 77th Infantry lost a buddy,” read the makeshift sign posted at the place where a Japanese machine gun bullet felled him.

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Those reporters told stories of war in all its gore and its glory, its exhilaration and its ennui. Others have laid bare the anxiety and doubts.

Veteran Vietnam correspondent Neil Sheehan broke the story of the Pentagon Papers, which showed how government officials deceived the public about the Vietnam war. Sheehan won a Pulitzer Prize for his book, “A Bright Shining Lie,” which chronicled the war’s impact on idealists who once believed in it, through the story of his relationship with an inside source.

Well before bombs started dropping on Iran and President Donald Trump began to tease the notion of a ground invasion, his defense secretary, Pete Hegseth, began putting obstacles in the way of the reporters with the most experience covering the nation’s military. While Hegseth’s moves haven’t stopped the reporters from doing their jobs, it has made it harder for them to keep the public informed.

As someone who worked as a Washington correspondent for decades, I worry that these obstacles could limit the number of reporters who have the experience with – and trust of – key sources to do the kind of in-depth, nuanced journalism that a war, with its price in lives and resources, deserves.

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Corralling the watchdogs

Generally, war correspondents need the cooperation of the military they are covering to get to the front. For the U.S. press, that requires relationships and credibility at the Pentagon.

Early in 2025, Hegseth ordered major news organizations to give up their desks in the Pentagon press room to MAGA favorites. NPR’s desk went to Breitbart News. Roaming the hallways, where reporters sometimes found sources who would deviate from the company line, became verboten.

Eventually, the area in the Pentagon where reporters were allowed was circumscribed to a single corridor outside the press room – even though the public affairs officers who worked most closely with reporters were in an office on the other side of the 6½-million-square-foot building.

Then Hegseth conditioned the issuance of press credentials on reporters, effectively giving military brass the right to censor or sanitize their reports.

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As a result, almost the entire Pentagon press corps, which included outlets ranging from The Associated Press to The New York Times to Fox News and USNI News, which covers the Navy, moved out of the building in October 2025. Some have been invited back for the press briefings Hegseth and Gen. Dan Caine, chairman of the Joint Chiefs of Staff, have begun to give on progress of the battle in Iran.

But after the first of these briefings, the Pentagon abruptly banned photographers from attending, reportedly because Hegseth’s staff found some of their images of him to be unflattering.

Secretary on defense

Gone are the off-camera “background” briefings where Department of Defense brass could give trusted reporters greater context and nuance for battlefield decisions. Gone are the impromptu hallway meetings where reporters have, with luck or persistence, picked up information that deviates from an administration’s agreed-upon script.

Also not in evidence, at least not so far: the deployment of the kind of journalistic embed program that the Pentagon used during the Iraq war to give the American people an up-close look at troops in the conflict zone.

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How might that affect what you, the public, gets to know? It was a combination of an anonymous tip and insider access that led the legendary investigative reporter Seymour Hersh to break the devastating story of My Lai, the American soldiers’ massacre of civilians during the Vietnam War.

At the made-for-TV briefings he does hold, Hegseth devotes most of the session to questions from outlets such as the Epoch Times, The Daily Caller and LindellTV – owned by Mike Lindell, the head of the well-known pillow company.

At one recent briefing, one of the favored new cadre tossed Hegseth a shameless softball. Referring to American troops in the Middle East, the questioner asked: “What is your prayer for them?”

Yet as hostilities drag on, even some among Hegseth’s chosen press corps have begun to ask irksome questions about the war. The normally Trump-friendly Daily Caller ran a less-than-flattering piece about the president berating a reporter for asking about troop deployments.

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On March 4, 2026, Hegseth accused journalists of focusing on war casualties to make “the president look bad.” On March 13, Hegseth castigated as “more fake news” CNN’s report that the Trump administration had underestimated the impact of the war on shipping traffic in the Strait of Hormuz.

“The sooner David Ellison takes over that network, the better,” Hegseth concluded, adding fuel to the speculation that a Trump supporter who won a bidding war for CNN’s corporate parent is going to turn the network into a more administration-friendly outlet.

Soon after, Federal Communications Commission chairman Brendan Carr threatened network broadcast licenses over coverage critical of the administration’s conduct of the war. Echoing Carr’s threats the next day: the president himself.

‘Be a Marine’

The Trump administration is not alone in its disdain for a free press: Israel has long been notorious for restricting press access from areas where it is conducting military operations.

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Leaders of the theocratic Iranian regime are even worse; the country is cited by press freedom advocate Reporters Without Borders as “one of the world’s most repressive countries in terms of press freedom.”

But the United States has historically distinguished itself by making freedom its calling card, even – or perhaps especially – in wartime.

“The news may be good, or bad. We shall tell you the truth,” Voice of America, a U.S. government-launched radio network, promised – in German – in its very first broadcast to Nazi Germany in 1942.

Now, however, the Trump administration, is busy trying to undermine the editorial independence of Voice of America, which broadcasts news to countries that don’t have a free press.

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Pentagon reporters are continuing to find ways to get around the propaganda. NPR’s Tom Bowman told me that he takes inspiration from a pep talk he overheard a military source deliver to another reporter crestfallen over the lack of access.

“Quit whining and be a Marine,” the official said. “Go over, under or around the obstacle. Find a way to do it.”

Most reporters and their organizations are doing just that, finding sources outside the administration, like the ones in Congress who told The Hill how much money the war is costing taxpayers per day. And they’re continuing to get information from sources on the inside, like the ones who told The Wall Street Journal that Trump’s military advisers warned him that Iran might block the Gulf of Hormuz, but that he opted for war anyway.

So far, neither Hegseth’s obstacle course nor threats from the White House and the FCC have stopped the press from reporting stories or asking questions that the administration would rather not see or hear.

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But restrictions on press freedom have a corrosive effect. We already have seen how Trump, using lawsuits and licensing threats, has used his power to make corporate media owners think twice about pursuing news he doesn’t like.

Seasoned Pentagon reporters will still find ways to get to sources they already have. But Hegseth’s tactic of blocking press access to the military keeps reporters from developing new sources and keeps new reporters from building the relationships they need to become seasoned Pentagon reporters.

Americans have long been able to understand the triumphs and tribulations of American troops at war, and to make intelligent decisions about whether they approve of a war’s cost, because a free press has been able to tell the story – good or bad. That tradition is now at risk.

Kathy Kiely is Professor and Lee Hills Chair of Free Press Studies at the University of Missouri-Columbia

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Filed Under: defense department, dod, journalism, pete hegseth, propaganda

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Recreating One of the First Hackintoshes

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Apple’s Intel era was a boon for many, especially for software developers who were able to bring their software to the platform much more easily than in the PowerPC era. Macs at the time were even able to run Windows fairly easily, which was unheard of. A niche benefit to few was that it made it much easier to build Hackintosh-style computers, which were built from hardware not explicitly sanctioned by Apple but could be tricked into running OSX nonetheless. Although the Hackintosh scene exploded during this era, it actually goes back much farther and [This Does Not Compute] has put together one of the earliest examples going all the way back to the 1980s.

The build began with a Macintosh SE which had the original motherboard swapped out for one with a CPU accelerator card installed. This left the original motherboard free, and rather than accumulate spare parts [This Does Not Compute] decided to use it to investigate the Hackintosh scene of the late 80s. There were a few publications put out at the time that documented how to get this done, so following those as guides he got to work. The only original Apple part needed for this era was a motherboard, which at the time could be found used for a bargain price. The rest of the parts could be made from PC components, which can also be found for lower prices than most Mac hardware. The cases at the time would be literally hacked together as well, but in the end a working Mac would come out of the process at a very reasonable cost.

[This Does Not Compute]’s case isn’t scrounged from 80s parts bins, though. He’s using a special beige filament to print a case with the appropriate color aesthetic for a computer of this era. There are also some modern parts that make this style computer a little easier to use in today’s world like a card that lets the Mac output a VGA signal, an SD card reader, and a much less clunky power supply than the original would have had. He’s using an original floppy disk drive though, so not everything needs to be modernized. But, with these classic Macintosh computers, modernization can go to whatever extreme suits your needs.

Thanks to [Stephen] for the tip!

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How We Test Cordless Vacuums

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We test all sizes and shapes of vacuums here at CNET. From lightweight cordless alternatives to increasingly advanced robot vacuums, we’ve put hundreds of models across every category through their paces. Our cordless vacuum testing takes place at the CNET test lab in Louisville, Kentucky. Each cordless vacuum goes through a gamut of tests across different flooring types, along with evaluations of features, battery life and overall usability. Here’s how we do it.

How we test cordless vacuum cleaners at CNET

All the vacuums on CNET’s best lists are tested and evaluated in our state-of-the-art test labs. CNET Testing Labs go beyond product specifications to test in real-world conditions with real-life messes. Over the years, our experts have tested 50 cordless vacuums and counting.

Here’s a breakdown of how we measure cordless stick vacuum performance.

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Cordless Vacuum

We test the vacuums on both hardwood and two diffrent types of carpet.

Getty Images/Amy Kim/CNET

Cordless vacuum scoring methodology

The main test we use on all vacuums is a straight-line test across different flooring types (hardwood floors, low-pile carpet and midpile carpet). The test involves vacuuming at a standard suction level, along with calculations to ensure it’s fair for all the models that pass through our lab.

Our process is closely aligned with the standard established by the International Electrotechnical Commission. The goal of a straight-line test is to measure what percentage of dirt the vacuum is capable of picking up. We use play sand and pet hair as our primary test materials, along with our dust area adjuster to measure how much we disperse on the floor. 

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Subrating category Weight What we look for
Performance 30% Performance score extrapolated from the average sand score on hard flooring, low-pile carpets and midpile carpets.
Value/price 25% Retail price rating considering all other features. Does this price seem fair for the value offered?
Running time 20% How long does the battery last when cleaning at medium setting? (No ECO, turbo, MAX, etc.)
Features 15% Overall comfort and handling of the product (e.g. weight, comfortable grip handle).
UX (Comfort, ease of use) 10% UX – All aspects of comfort. Does it have a good grip/handle? Is it heavy to operate/lift? How easy is the setup? Does it come with smart home functionality? Smartphone app? Voice assist?

Awarding the highest performers

image-3.png

The Eureka ReactiSense 440 costs just $180 but offers the best performance we’ve seen in a cordless vacuum.

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Eureka/CNET

After running all the tests below, we award the best cordless vacuums an Editors’ Choice or a lab award in the category where they excel. Most recently, the Eureka ReactiSense 440 earns our lab award for the best suction on carpet at 98.53% sand pickup from low-pile carpet and 92.16% from midpile carpet. It also earns an Editors’ Choice award for its unbeatable value as our best overall cordless vacuum. Similarly, the Dreame Z30 earns not one, but two separate lab awards; it excels in multiple categories across our lab testing. It takes both our lab award for the longest battery life at 110 minutes and the highest suction score on hardwood at 98.77%.

Inside CNET’s Testing Labs: How we test cordless vacuums and why the sand scores matter

Our team of experts and engineers uses play sand to mimic dirt and dust. Each vacuum is tested on a low-pile carpet, midpile carpet and a hard surface with play sand. This test reveals exactly how much physical debris a vacuum is able to pick up off the floor.

Sand pickup

robot-vac-testing-photos-4

Our rig to distribute soil across the test bed.

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Tyler Lizenby/CNET

Using the dust area adjuster (what we use to disperse sand or pet hair onto the floor), we subtract one inch from the measured nozzle width to give the stick vacuum ample coverage and opportunity to pick up all debris on the carpet or hardwood. We use different nozzle widths and amounts of debris based on the floor sample size and square footage.

During testing, we set controls to ensure each vacuum undergoes the same test. For example, each vacuum is set to the same nozzle width, and we measure and lay down the exact same amount of debris each time.

The black and green Bissell IconPet cordless vacuum in the process of cleaning the test carpets at CNET's product-testing lab in Louisville, Kentucky.

We test on both low-pile and midpile carpet to see how well cordless vacuums are able to remove sand from them. 

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Ry Crist/CNET

At minimum, we conduct three cleaning runs on each floor type. We rerun test cycles if there’s an obvious outlier among the three tests, such as one result that’s much higher or lower in pickup percentage. We also conduct separate cleaning tests with pet hair (acquired from a nearby groomer) on each surface type, photographing and visually evaluating how much pet hair, if any, remains after running the vacuum over it.

We weigh the dustbin before and after each run. From there, we can calculate the percentage of debris pickup for every cleaning run and the average amount of soil a vacuum manages to remove.

Pet hair

Schylar measuring the pet hair for the test.

We measure a precise amount of pet hair to evaluate pickup performance, but use before-and-after visuals to assess results instead of weighing the dustbin.

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Ajay Kumar/CNET

Our pet hair test is the simplest. We use 2 grams of pet hair sourced from a local groomer, spread across each test bed, and take before-and-after photos for visual comparison.

For pet hair, we don’t weight the pet hair after the test; we use before and after pictures of the cleaning run to subjectively evaluate the effectiveness of the cordless vacuum at picking up pet hair.

Cordless vacuum battery life and running time

Vacuum heads from Dreame, Shark and Levoit

We test battery life by running the vacuum on standard suction until it’s drained. 

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Credit: Cole Kan/CNET/Getty/Dreame, Shark, Levoit

To test battery life, we fully charge the vacuum battery, then run it on the medium setting until it drains, avoiding Max or Eco modes. We repeat the test three times and average the results. The longer the duration, the better the score. Most of the vacuums on our list have a battery life of 25 to 40 minutes before needing another charge, although many models are starting to offer higher-capacity batteries with running times of 60 minutes per charge. 

Several of the vacuums we’ve tested can do even better, including the Shark Stratos (80 minutes) and Dreame Z30 (110 minutes). In truth, needing more than 40 minutes for a single vacuuming session is rare, and the prevalence of charging docks makes it easy to recharge between cleaning runs.

The Dreame Z30 and its accessories

With its 110 minutes tested cleaning time, the Dreame Z30 is a great option for large homes.

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Jeffrey Hazlewood/CNET

Most cordless vacuums we recommend now feature replaceable batteries, so you can buy an extra if you need more runtime or are concerned about battery degradation over time.

Several of the graphs below show the relationships we discovered in our study between battery life and suction, battery life and price and battery life and weight. A recent lab data study revealed that most cordless vacuums with stronger suction power also have a shorter battery life. Even so, you don’t need to spend a lot to get a high-performing vacuum.

Cordless vacuum warranties

Shark Stratos cleaning on hardwood floors.

Using the Shark Stratos in the test lab on hardwood flooring gave us impressive scores for sand pickup.

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Schylar Breitenstein/CNET

Cordless vacuum warranties vary by manufacturer and model, but the majority of models we’ve tested offer at least a year of coverage, and many offer two years. The best warranty we’ve seen comes from SharkNinja, which offers a five-year limited warranty on its cordless vacuums. A longer warranty period is good because it means your vacuum is covered if a part breaks or something is defective.

Filters and air quality

Most cordless vacuums have a filter that prevents dust from being blown back into the room while you’re vacuuming. Most of the best cordless vacuums come with replaceable HEPA filters (commonly found in air purifiers) that can filter particles as small as 0.3 microns, while cheaper models may have a more basic cloth filter. One recent innovation we’re seeing from SharkNinja is the incorporation of an anti-allergy seal and anti-odor capsules that help keep your vacuum and dustbin from developing odors, though this requires odor-releasing pods that add extra cost.

User experience (ease of use and comfort)

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The Aero base station charges the vacuum and self-empties it into a 3.5-liter dust bag. 

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Ajay Kumar/CNET

While it’s not a primary factor, the ease and comfort of using a cordless vacuum and emptying its dustbin still play a role. We consider this part of the overall user experience. We like cordless vacuums that can stand upright on their own and models with charging docks or self-emptying features, since both reduce the amount of maintenance required. Strong bonus points go to a vacuum docking station that empties dust into a bag rather than a bagless dust canister because it means that dust is less likely to get all over your newly vacuumed floors when you empty it into the trash.

What about handheld vacuums?

handheld-vacuums-on-vinyl-floor

I obtained the vacuums in this test through retail purchases and manufacturer samples.

John Carlsen/CNET

Most, if not all, of the cordless vacuums on this list can be broken down into handheld units, making them suitable for cleaning your car or upholstery. However, we use a slightly different testing methodology for handheld vacuums, so we recommend checking our recently updated list of the best handheld vacuums to see our recommendations for use cases ranging from cleaning cars to pet hair. Plus, many handheld vacuums weigh as little as 1.2 pounds, putting them in a different weight category from these cordless vacuums.

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Other features

Shark Stratos with the headlights on, cleaning hardwood flooring.

The Shark Stratos has useful LED headlights to help it find dust.

Schylar Breitenstein/CNET

As new cordless stick vacuum models emerge, we’re seeing the ability to detect dirt types and floor types and adjust suction power accordingly. “This means that when a large amount of dirt is detected, suction increases and when less dirt is present, suction decreases,” says CNET’s lab engineer Gianmarco Chumbe. Chumbe, who’s been testing home tech products at CNET labs for eight years, says the latest vacuum tech can sense floor type and adjust suction power accordingly. “The main benefit of this feature is increased battery efficiency, resulting in a more effective and longer-lasting cleaning experience.”

Consumers shopping for vacuums today, Chumbe says, should consider the cost-to-value ratio. “Ask yourself, does the price justify the performance, features and comfort it offers?” CNET writers and editors use price and value in our vacuum scoring precisely for this reason.

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Cordless vacuum weight, size and bin capacity

A close-up of the rollers being ejected from the Dyson PencilVac.

The PencilVac rollers are designed to eject hair to avoid tangling.

Ajay Kumar

Most of the cordless vacuums we tested weigh between 4 and 8 pounds. When a vacuum weighs 10 pounds or more, we consider it unwieldy. Most of the vacuums on this list were also very similar in height and overall size. They also come with accessories that can be attached and detached to give you flexible cleaning options. For instance, a common tool is a crevice-cleaning attachment that lets you fit the vacuum nozzle into tight spaces and corners where a larger brush head can’t reach.

For the dustbin size, we consider anything of 0.6 liters or bigger to be good. Generally, anything less than 0.5 liters will require you to empty it after every cleaning session. A large dustbin means you can go longer without emptying. However, if the cordless vacuum comes with a self-emptying charging dock, it can often store dust and debris for 30 days or more, minimizing the amount of dust you’re faced with when vacuuming.

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