Boeing subsidiary Aurora Flight Sciences has begun installing the wings on the X-65, an experimental drone developed under DARPA’s Control of Revolutionary Aircraft with Novel Effectors (CRANE) program.

The installation brings DARPA and Aurora a step closer to flying the unconventional uncrewed aircraft, which was designed to test flight control using only bursts of pressurized air instead of conventional moving surfaces.

The X-65’s active flow control

The X-65’s key innovation lies in its active flow control (AFC) system. Fourteen AFC effectors embedded across the aircraft’s lifting surfaces use jets of high-pressure air to manage roll, pitch, and yaw.

This will either replace or supplement traditional flaps and rudders. The X-65 incorporates both systems to establish performance baselines before transitioning to AFC-only operation. Essentially, it will allow researchers to flight test the technology while minimizing risk.

“The X-65 conventional surfaces are like training wheels to help us understand how AFC can be used in place of traditional flaps and rudders,” Dr. Richard Wlezien, former CRANE program manager at DARPA, said in a 2024 press statement. Sensors will compare the two approaches to evaluate potential benefits.

Aurora Flight Sciences announced the wing’s arrival on social media, noting that the components were built at its West Virginia facility. Integration is underway in Virginia, with the first flight now targeted for 2027.

Novel effectors to enhance survivability

The X-65 features a co-planar joined wing configuration with triangular wing sections on each side that merge at the tips, plus small extensions for a total wingspan of 30 feet.

The triangular wings support testing across multiple sweep angles and feature modular, swappable sections for future AFC configurations.

The aircraft also includes a twin vertical tail, a chin air intake, and a single exhaust. The uncrewed aircraft has a gross weight of approximately 7,000 lbs.

DARPA kick-started the CRANE program in 2020. Though Aurora has advanced to the detailed design and fabrication phases, the program has encountered delays and cost overruns, as reported by The War Zone.

Original flight plans for 2025 slipped after higher-than-expected prototype costs and supply chain issues. Pentagon funding for the effort since fiscal year 2024 has reached nearly $63 million.

Eliminating moving control surfaces could yield multiple advantages. Removing moving parts could result in improved aerodynamics and efficiency, particularly at high altitudes. Reduced mechanical complexity also offers potential weight savings, lower maintenance demands, and greater reliability. For military applications, such systems could have enhanced survivability against battle damage.

The technology holds particular promise for stealth aircraft. Traditional control surfaces create gaps and protrusions that increase radar cross-section and require constant adjustments in fly-by-wire systems. AFC effectors embedded flush with the airframe could help maintain smoother external contours and lower observability.

As Aurora vice president Larry Wirsing stated last year: “The X-65 platform will be an enduring flight test asset, and we’re confident that future aircraft designs and research missions will be able to leverage the underlying technologies and flight test data.”

Tesla, Sunrun and Renew Home plan to tap solar panels, batteries, thermostats and other devices installed in millions of homes to meet the energy demands of artificial intelligence.

© Collin Chappelle for The New York Times

Tesla, Sunrun and Renew Home plan to tap solar panels, batteries, thermostats and other devices installed in millions of homes to meet the energy demands of artificial intelligence.

Scratched contact lenses often mean an expensive replacement, even if the damage is minor. Researchers in South Korea have now developed a self-healing material that can repair those tiny imperfections using just one hour of ultraviolet light, opening the door to more durable soft contact lenses.

The new hydrogel-based material restores itself at room temperature and could eventually help wearers extend the life of their lenses instead of discarding them after everyday wear. The technology also combines a protective coating that resists scratches and bacteria, adding another layer of durability for future designs.

UV repairs damage

Researchers Jung-Hyun Choi and Byoung-Ki Cho created the material using a hydrogel, a water-rich polymer network already widely used in soft contact lenses. They redesigned the structure so that ultraviolet light, instead of heat, activates the repair process.

Exposure to UV light with a wavelength of 365 nanometers for one hour triggers a chemical reaction known as disulfide exchange. During that process, sulfur bonds temporarily break apart and reconnect with neighboring atoms, allowing the damaged polymer network to gradually rebuild itself.

The team had previously demonstrated a heat-driven self-healing hydrogel, but that approach required several hours of warming. Extended heating dries out contact lenses and makes them unsuitable for everyday use, making room-temperature repair a more practical alternative. Laboratory tests showed the healing process restored scratched samples with high efficiency, leaving behind a nearly seamless surface instead of visible damage.

Protective coating adds strength

The researchers also coated the hydrogel with another polymer designed to reduce bacterial growth and shield the surface from abrasion. That extra layer proved effective during durability testing. Even after repeated contact with fine-grit sandpaper, the coated material maintained its clarity. Transparency declined by only about 2%, suggesting that routine scratches would have little effect on vision quality.

The hydrogel also retained water and displayed mechanical characteristics comparable to those expected from commercial soft contact lenses. Those properties are critical because comfort depends on a lens remaining hydrated throughout the day.

According to the researchers, users could eventually repair minor damage with UV lamps already found in many homes, including devices used for cleaning or curing gel nail polish. The repair process can also be repeated, allowing the material to recover from multiple instances of wear.

More testing ahead

Several steps remain before self-healing contact lenses reach consumers. The material must undergo additional stability evaluations and regulatory review to confirm it can withstand long-term use and repeated repair cycles.

If those hurdles are cleared, the technology could reduce waste and lower replacement costs for millions of contact lens users. Instead of treating every scratch as the end of a lens’s life, future designs may be able to recover from everyday damage and stay in service much longer. The project received funding from the National Research Foundation of Korea.

The study titled “Room-Temperature UV-Induced Self-Healing Hydrogels with Antifouling and Antiscratch Surfaces for Soft Contact Lenses” is published in the journal ACS Applied Polymer Materials.

MIT researchers have developed a low-power chip that enables tiny drones and robots to build detailed 3D maps of their surroundings in real time while consuming only about 6 milliwatts of power. The system-on-a-chip, called Gleanmer, could help battery-powered autonomous machines navigate cluttered environments such as industrial ventilation systems, warehouses, tunnels, and other confined spaces where obstacle avoidance is critical.

The technology may also find applications in lightweight augmented reality headsets, allowing them to map indoor environments without draining batteries. The chip combines specialized hardware with a compact mapping algorithm that dramatically reduces the memory and energy needed to create 3D representations of the world around a robot.

Mapping without burden

Building detailed 3D maps typically requires robots to process large volumes of image data and store complex representations of their surroundings. These tasks often demand significant memory and power, making them difficult to deploy on small battery-powered devices.

Instead of relying on conventional voxel-based maps, which represent environments using millions of tiny cubes, the MIT team uses flexible ellipsoid shapes known as Gaussians. These shapes can more efficiently represent curved objects and open spaces while requiring far less memory.

The researchers paired the chip with a mapping algorithm called GMMap, which creates 3D maps from depth images in a single pass. This allows the system to discard image data almost immediately instead of repeatedly storing and processing it.

“At any point in time, we only need to store a few pixels in memory, which significantly reduces the memory footprint our algorithm requires,” said Peter Zhi Xuan Li, one of the study’s co-lead authors.

The system also avoids another common challenge in mapping. As a robot moves, it often observes the same object from multiple angles, creating overlapping representations that increase map size. The MIT team developed a method to merge overlapping Gaussians directly without returning to the original image data.

Tiny chip, big reach

This approach allowed the researchers to keep much of the active data in fast on-chip memory rather than relying on power-hungry external storage. “By having a dedicated memory that just stores the objects you’ve seen in the previous few frames, you can access the data much more efficiently,” said co-lead author Zih-Sing Fu.

In tests involving a variety of previously recorded environments, Gleanmer generated detailed 3D maps in real time while consuming about 6 milliwatts of power. According to the researchers, this is roughly 2.5% of the energy required by the best existing chip designed for map construction.

The chip can also reconstruct obstacles and free space directly from live data streamed from an iPhone camera. By reusing compact Gaussian representations during path planning, the system enables robots to calculate collision-free routes using about 20% of the energy typically required.

“This paper showcases a key example of how you can leverage co-design of the algorithm and hardware to really push energy efficiency,” said Vivienne Sze, professor of electrical engineering and computer science at MIT and senior author of the study.

The researchers believe future versions could become even more efficient by placing computing resources closer to onboard sensors. Beyond robotics, the team is also exploring whether Gaussian-based representations could help computing systems process technical drawings and complex schematics more efficiently.

The research was presented at the IEEE Very Large-Scale Integrated Circuits Symposium.

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Flight tests are a big part of how NASA turns breakthrough ideas into reality. From flying humans faster than the speed of sound to proving designs that helped shape the space shuttle, flight testing transforms bold concepts into safer, more efficient technologies that benefit the public.

“Flight tests are a way to safely and effectively prove new technology, which helps certification authorities certify equipment,” said Wayne Ringelberg, chief pilot at NASA’s Armstrong Flight Research Center in Edwards, California. “It helps industry iterate and make systems better, and it promotes research in areas where new ideas can be developed.”

For nearly 80 years, teams at NASA Armstrong have used flight testing in the Southern California desert to push the limits of aerodynamics and advance aviation. Thanks to that work, NASA-developed innovations are aboard every U.S. commercial aircraft and inside every control tower today.

“The space side of NASA uses flight test, too. Every mission, like Artemis II, is never routine,” Ringelberg said. “Everything we’re doing when flying a test mission is something new or different.”

Every NASA test flight — whether it’s studying new software, hardware, or the revolutionary technology of an experimental X-plane — relies on engineers, researchers, pilots, maintenance crew, control room operators, and many others working together.

“Experienced operators and engineers evaluate how things work in flight,” Ringelberg said. “Most new technologies are designed to work in a lab or can be tested in a wind tunnel or other facility, but you never really know how they’ll perform until you fly them.”

Preflight tests often include computer analysis, simulation, wind tunnel testing, and ground tests focused on an aircraft’s ability to withstand the forces of flight and the environments through which it may fly. After hardware or software is deemed safe to fly, researchers turn the mission over to the flight test team.

To support testing, NASA Armstrong maintains an aircraft fleet modified to create space for new hardware or instruments, as well as the ability to integrate new software. These aircraft are flying laboratories, and pilots are trained to accomplish experimental missions.

For example, flight testing recently helped NASA gather critical data on laminar flow, or the smooth flow of air, over a wing. The work could lower fuel costs for future airliners. Computer modeling, wind tunnel tests, and other methods helped advance the research, but to find out even more about how the wing concept could reduce drag for future airliners, NASA used a scale model in actual flight.

NASA researchers strapped the Crossflow Attenuated Natural Laminar Flow (CATNLF) model wing to the belly of one of NASA Armstrong’s F-15s. The arrangement allowed them to collect all the information they would need without doing the extensive, costly modifications required to install a full-scale wing on an aircraft.

After a flight series is complete, engineers and researchers analyze the data. Did the instrument work as designed? Did the experimental aircraft perform safely at a high altitude? Did the software operate as planned? Each test raises its own set of questions to evaluate.

NASA continues working with academia, the Department of War, and industry partners to advance U.S. aviation through flight test and bring new benefits to the flying public.

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A supercomputer in Shenzhen was declared the world’s fastest. It uses only standard microprocessors and not the special-purpose chips called graphics processing units.

The United States Army (the Army) has awarded Rune Technologies a $99 million Indefinite Delivery, Indefinite Quantity (IDIQ) contract for its proprietary TyrOS platform.

The IDIQ framework will run for five years, during which authorized Department of War (DoW) organizations can place orders for the software and associated services through the contract, up to a maximum cumulative value of $99 million.

“Established by the Army and available for broader DoW use, the vehicle enables Soldiers, Marines, Sailors, Airmen, Guardians, Commanders, Sustainers, acquisition professionals, and contracting teams to rapidly access and field-proven software solutions at the speed of operations,” Rune explains in an official press release.

This differs from “normal” military procurement in that it offers a potential rapid-adoption pathway for interested parties. For anyone even remotely familiar with military purchases (which can take many months to years), this could reduce procurement timelines from many months to just days.

But what is the big deal with the new software? Well, Rune’s TyrOS is akin to a mix of Amazon, Google Maps, inventory management, an artificial intelligence (AI) chatbot, and predictive analytics in one place. In this sense, it acts a bit like an AI-assisted logistics operating system.

Windows for war

Windows for war, if you like. “Logistics is the distribution layer of military power, and it has to move at the speed of the fight,” said David Tuttle, Co-Founder and CEO of Rune Technologies.

“This contract gives sustainment teams across the Army and joint force a single, repeatable way to deploy TyrOS and other Rune capabilities into their units, while reducing acquisition friction and accelerating capability delivery to the tactical edge,” he added.

The system not only tells users that an asset needs resupply but can also identify potential bottlenecks and recommend alternative courses of action.

So, the AI will go far beyond something simple like “fuel will run out here in X days.” It will help users find alternative sources, reroute convoys to assist, etc., before a crisis occurs.

Beyond predictive modeling, one of TyrOS’ strengths, Rune explains, is that it uses a native large language model (LLM) as part of its interface. So, instead of clicking through menus, a user can simply ask a question using natural language to get the answer they want.

Say they ask something like “show every artillery battalion that will be below 30% ammunition within the next 72 hours.” The AI converts that into database queries and produces an answer.

Proactive, not reactive

But it gets better than that. As Rune explains, its software features a specially designed AI agent called Saga. This sophisticated piece of software effectively acts as an automated AI logistician in the system.

To this end, it is able to autonomously detect issues and then generate recommendations for action. A human still approves the decision, but the planning work is largely automated.

Yet another innovation is something called “edge-first architecture.” Normally, AI systems rely heavily on cloud servers, which, in turn, rely on stable and reliable telecommunications.

But satellite link failures, network jamming, and physical severing of telecoms are something of an occupational hazard in war. Edge-first means the AI runs locally on military computers or servers.

So even if disconnected from headquarters, a brigade can still use the system. Not too shabby.

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Franco-German defense giant Krauss-Maffei Wegmann and Nexter (KNDS) have unveiled a new main battle tank for European customers at the 2026 Eurosatory trade show.

KNDS, in case you are unaware, is a conglomeration of the companies behind the German Leopard 2 and French Leclerc main battle tanks (MBTs). Today, they are a “pan-European land defense company, uniting over 11,000 employees with a €4.4 billion in revenue and a backlog of €33.1 billion in 2025.”

The new tank, called the CAPINT (“Intermediate Capability”), is effectively a Leopard 2A8 hull with a futuristic unmanned turret, integration with robotic vehicles, and drones.

According to KNDS, this will be something of a stopgap for France’s planned Main Ground Combat System (MGCS), which is taking a long time to arrive. So, the idea goes, instead of waiting until 2040, this new tank should be deployable during the 2030s.

Its chassis, reportedly, offers the new tank proven mobility and armor, while also benefiting from the existing logistics chain and lower development risk. It also provides the tank with a 1,500 hp (1,119 kW) diesel engine, which is the same power class as current Western MBTs.

The power plant might also be supplemented with battery packs (to enhance the onboard energy storage) along with an associated electric drive train to reduce the infrared and acoustic signatures.

KNDS’ new toys for Europe

The most interesting part is the crewless turret. Unlike conventional MBT turrets, no crew sits inside the turret itself. Instead, it is remotely operated, allowing the crew to remain protected within the hull.

As no crew needs to be present, this enables the turret to be smaller and lighter. But this doesn’t mean the tank will be without serious firepower.

According to reports, the tank will come with a KNDS ASCALON 120 mm smoothbore gun with an autoloader. This makes it compatible with the current NATO standard ammunition stockpiles.

KNDS does note, however, that this can be upgraded to larger calibers in the future without the need to redesign the entire turret. The scalable design also gives KNDS room to introduce larger calibers in the future, should battlefield requirements change.

All fairly standard so far, but an interesting wrinkle in the design is plans to give it some drone buddies. Robotic vehicles and drones will fight alongside the tank, forming a manned-unmanned team. In this configuration, the tank will act as an armored command platform.

Few concrete details have been released, but this will likely include reconnaissance drones to scout ahead and counter-drone systems for protection. The counter drone systems are likely to employ a mix of hard kill and soft kill means. These might include active protection systems and tube-launched interceptor drones.

Next iteration of Leopard 2 A-RC 3.0 study

Separately, KNDS also presented a further development of its fully self-financed study on Leopard 2 A-RC 3.0. It features a remote-controlled turret and a three-man crew.

The concept revolves around an innovative, unmanned turret with its unique weapon mounting, this prevents the weapon from dipping into the vehicle, thus creating a possibility of freeing up space inside the hull.

The compact crew arrangement also reduces the armor protection volume, leading to weight reduction. This results in an improved power-to-weight ratio, which in-turn increases tactical mobility.

The Leopard 2 A-RC 3.0 can integrate different gun calibers from 120 mm, 130 mm, to 140 mm. It also incorporates an advanced secondary armament to counter the persistent threat of drone swarms.

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A new robotic system developed in China is being positioned as the world’s first intelligent squid-fishing robot, designed to replicate the precise hand movements used by human fishers to lure squid from deep waters toward the surface. 

By mimicking these subtle motions, the machine aims to improve both catch efficiency and consistency in challenging offshore conditions.

The robot is currently undergoing sea trials aboard the Song Hang scientific research vessel. The ship is scheduled to carry out an extended survey mission in the northwestern Pacific Ocean through September, giving researchers an opportunity to evaluate the robot’s performance in real-world marine environments.

Robot brings human-like precision to offshore fishing

Unlike conventional automated systems used on squid-fishing vessels worldwide, the new robot is designed to respond dynamically to squid behavior, adjusting its movements based on how the animals bite. This adaptive capability allows it to deliver a level of precision closer to that of experienced human fishers, potentially improving both efficiency and catch rates, the South China Morning Post reported.

The robot is being tested aboard the Song Hang research vessel, which departed on June 8 from Changxing Island near Shanghai. According to Chinese media, the vessel has embarked on a 90-day scientific expedition to study fishery resources in the high seas of the northwestern Pacific.

Developed by Shanghai Ocean University in collaboration with China Fisheries Zhoushan Ocean Fishery Co, the squid-fishing robot was deployed aboard the research vessel as part of its ongoing sea trials.

As the world’s largest seafood producer, China maintains an extensive distant-water fishing fleet made up of thousands of vessels, including squid boats operating across major fishing grounds worldwide, particularly near the South American coast. 

However, concerns have repeatedly been raised about parts of China’s distant-water fishing fleet, with critics citing allegations of illegal fishing, poor working conditions for crew members, environmental harm to marine ecosystems, and, in some cases, suspected espionage-related activities.

Targeting inefficiencies in squid jigging

Industrial squid fishing typically relies on a method known as jigging. At night, vessels deploy powerful lights that can even be seen from space to attract squid, which are drawn in along with their prey. Once the squid gather near the surface, lines fitted with bait are lowered into the water and rapidly jerked up and down to imitate small prey such as shrimp, triggering strikes before the catch is reeled aboard.

According to Chen Xinjun, a professor at Shanghai Ocean University and leader of the intelligent fishing project, traditional squid fishing depends heavily on crew judgment to detect bites, which can lead to inefficiencies and lost time during operations.

While many industrial squid vessels already rely on automated systems to handle repetitive tasks such as jerking fishing lines and hauling in catch, these machines typically operate on pre-set programs configured by humans according to local sea conditions.

Chen further explained that the new intelligent squid-fishing system goes a step further by using sensors and adaptive control. It responds in real time to squid behavior, including biting and escape movements, with the goal of reducing ineffective operations and lowering dependence on human decision-making during fishing.

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Chinese defense supplier Harbin Xinguang Optic-Electronics Technology has unveiled a new man-portable. anti-drone laser weapon. Unveiled at the Defence Information Equipment and Technology Exhibition 2026 in Beijing, the miniaturized directed-energy weapon brings to life something once thought not possible.

The new system is part of the “Lijian” (roughly translated as “sharp swords”) range of lasers, which can allegedly shoot down drones at ranges up to 3,900 feet (1,200 meters). Being much smaller, this new portable version can’t quite reach those ranges, however.

Like its bigger brothers, the new system works by focusing a laser beam on a distant target, like a drone. The beam can then burn through wires, damage sensors and cameras, or overheat battery packs.

The theory is that once a critical part fails, the drone crashes. This capability is something many militaries are already rushing to develop, but the real breakthrough here is the unit’s size and weight.

According to reports, they are small enough for a single soldier to manipulate in the field. The Lijian II, for example, comes in at around 66 pounds (30 kg), with the Lijian III around 55 pounds (25 kg).

Man-portable laser power

To put that into perspective, that is roughly equivalent to carrying a machine gun plus ammunition and batteries. Still heavy, but much lighter than vehicle-mounted systems.

In the field, such systems would likely comprise a backpack that contains batteries and cooling systems. The soldier can then deploy the platform, which then tracks and targets drones visually or with optics.

All well and good, but lasers of this kind generally need a lot of power to actually work. While no technical details have been publicly released, laser weapons typically require between 20 and 50 kW.

They also require beefy cooling systems. This appears to have been solved, with reports being circulated that claim it can cool down in under 5 seconds. But again, how this was achieved has not been made public.

This all sounds impressive enough, but even futuristic weapons like lasers are not foolproof on the battlefield. They are, for example, highly susceptible to changes in weather like rain and fog, and other battlefield conditions like smoke, dust, etc.

Any of these can scatter the laser beam, subsequently dropping its effectiveness against a target. Lasers are also highly reliant on “line of sight” and must be able to see a target to hit it.

Gimmick or game-changer?

Any obstacles in the way, like buildings, hills, trees, etc, render them ineffective. There is also the issue that lasers must remain “locked” to a target for some time to be effective.

Ballistic weapons, like guns, deliver their full destructive potential on contact, while lasers need some time to do the damage. A fast-moving or maneuvering drone could, in theory, make this harder.

It is also not clear how such a small system could handle drone swarm attacks. Whatever the case may be, the new system could be an interesting evolution in anti-drone warfare.

If systems like this prove reliable, infantry units may eventually carry laser anti-drone weapons in the same way they carry machine guns or anti-tank missiles today.

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