A wind turbine standing nearly 1,200 feet tall has reached its full height in eastern Germany, creating a new approach to capturing wind energy at elevations where winds are stronger and more consistent. 

Developed by German engineering company GICON for the Federal Agency for Disruptive Innovation, or SPRIND, the pilot turbine in Schipkau is designed to test whether going dramatically higher can produce substantially more electricity from the same amount of wind infrastructure.

The structure reaches 1,197 feet, including its blades, making it Germany’s second-tallest structure after Berlin’s TV tower. GICON says the design could eventually generate roughly twice as much electricity as a conventional turbine with the same rotor diameter, although that estimate still needs to be demonstrated in operation.

A wind turbine built to reach higher

The main idea behind GICON’s design is to go where the wind is better. Wind speeds generally increase with altitude, while higher elevations can also provide more consistent wind conditions. Hence, a turbine operating hundreds of meters above the ground has access to a larger and potentially more reliable energy resource than a conventional turbine.

The Schipkau pilot has a rated capacity of 3.8 megawatts, while future versions are expected to exceed 7 MW. The company’s projected doubling in energy output refers to electricity generated over time, rather than the turbine’s maximum rated power.

Reaching that altitude, however, required GICON to rethink how such a turbine could be constructed. Instead of using a conventional crane capable of reaching the top of the tower, the company used a telescoping tower design. 

A specialized lifting mechanism raised the inner tower through a surrounding lattice structure before securing it at its final height. GICON founder and CEO Jochen Grosmann described reaching 1,197 feet as a major milestone for the project, which began as a concept before becoming a full-scale pilot facility.

Adding power without new wind farms

One of the more interesting possibilities is that high-altitude turbines could eventually be added to existing wind farms rather than requiring entirely new sites. GICON and SPRIND envision the systems operating as a second tier of wind generation, with the taller turbines positioned above conventional wind turbines. Therefore, their rotors would operate at higher elevations while existing turbines continue generating electricity below.

According to the current assessment, Germany could potentially accommodate as many as 4,000 high-altitude turbines within existing wind farms. If the concept works as expected, that could allow additional electricity generation without expanding wind farms into new areas, while also making better use of existing grid connections and developed wind-energy sites.

While the completion of the structure marks an important achievement, the more important test is still ahead, as official commissioning is planned for November, after the remaining construction work is completed. 

Once operational, the turbine will provide the data needed to determine whether the additional height delivers the expected increase in energy production and whether the benefits justify the additional engineering complexity.

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OpenAI’s frontier intelligence model GPT-6 Astra has completed the Orc starting area in World of Warcraft in about 40 minutes without processing a single rendered game frame, according to the developer of the open-source agent-wow project.

Instead of seeing the game through screenshots or computer vision, the AI reconstructed its environment from server network messages and game data, then built its own tools to navigate and play.

The experiment was conducted on a private local server running AzerothCore, not Blizzard’s live World of Warcraft service. The developer gave Codex, running GPT-6 Astra at its high reasoning setting, a single instruction: create an Orc character and complete all quests in the starting zone. The agent reportedly finished the run without dying.

Reading the game’s network traffic

The unusual part of the experiment is how little conventional game automation was provided to the model. Agent-wow does not use computer vision, screenshots, or direct keyboard and mouse controls. Instead, it allows an AI agent to communicate with the game server through World of Warcraft’s network protocol, Tom’s Hardware reported.

The project also does not provide predefined movement, combat, or interaction systems. The agent is expected to build the capabilities it needs through modules. During the run, GPT-6 Astra created a module that could process dozens of different server messages and keep the resulting information in memory. A Python script then used those messages to construct the model’s view of what was happening in the game and send actions back to the server.

That meant the model could determine things such as its surroundings, quest progress, and available targets without ever receiving the visual information a human player normally relies on.

The experiment therefore tests something different from simply teaching an AI to recognize a game screen. The model had to reason about a structured but unfamiliar environment using the information available through the game’s underlying protocol.

Astra built its own tools to complete the quests

The agent also had access to AzerothCore’s underlying data, including SQL files containing information about quests, NPCs, and spawn locations. It used those resources to determine where quests started and ended, and how different objectives were connected.

The developer said the model effectively created a plan for completing prerequisite quests in sequence. It also managed routine tasks such as selling unwanted items, equipping better gear, and training abilities before reaching the final cave in the starting area.

Navigation was another problem the agent had to solve, with GPT-6 Astra generating a C++ helper that used AzerothCore’s navigation-mesh data, known as mmaps, to calculate routes. The helper used the Detour pathfinding library to generate waypoints between locations, which the agent could then follow.

The developer said the system even encountered locations where collision information appeared to be incomplete and was able to exploit those map quirks. That makes the result interesting, but also means the run should not be treated as a straightforward test of how well an AI can navigate an unmodified commercial game world.

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Canada-based BTQ Technologies and the Industrial Technology Research Institute (ITRI) have completed the first milestone in a multi-year program to validate a new chip architecture designed to accelerate post-quantum cryptography.

The Quantum Compute-in-Memory (QCIM) architecture is being developed as part of a broader chip roadmap led by BTQ and ICTK. The technology is intended to provide hardware-based cryptographic acceleration for devices and systems that will need protection against future quantum computers.

The companies say the results could support future applications across military systems, industrial equipment, automotive technology, IoT devices, Physical AI and connected infrastructure.

Architecture validated in 28-nanometre environment

The first phase of the collaboration focused on validating the QCIM core under demanding operating conditions. The architecture was tested within a TSMC 28-nanometre design environment, where researchers evaluated its ability to accelerate cryptographic operations while maintaining functional correctness.

The tests covered algorithms associated with FIPS 203, 204 and 205, which form part of NIST’s emerging post-quantum cryptography standards. The architecture is also being designed to support additional algorithms as security requirements and standards evolve.

BTQ describes QCIM as a soft IP cryptographic accelerator capable of supporting both conventional and post-quantum cryptographic functions in a compact, low-power design.

The key concept is to perform cryptographic operations inside the memory subsystem rather than moving data between separate processing and memory components. This approach is intended to reduce data movement, latency and power consumption.

Furthermore, the architecture is also designed to be “crypto-agile,” allowing it to support different cryptographic algorithms as requirements change.

From post-quantum algorithms to real-world hardware

The development is part of a collaboration involving three different areas of semiconductor expertise. BTQ is contributing its cryptographic architecture, while ICTK provides secure semiconductor and physical unclonable function capabilities. ITRI is contributing semiconductor design, integration and validation expertise.

The companies say the completed milestone reduces technical uncertainty around the QCIM architecture and provides a foundation for moving toward broader system integration. The next phase will focus on module-level integration, verification and validation. This work will examine how the QCIM core can be incorporated into larger chip and system architectures while maintaining performance, interoperability and functional correctness.

“The results demonstrate that the QCIM architecture can accurately and efficiently accelerate multiple NIST-standardized post-quantum cryptographic algorithms under demanding conditions while maintaining the flexibility required to respond to evolving security standards,” said Olivier Roussy Newton, CEO and chairman of BTQ Technologies.

The technology is being targeted at applications where long-term security, device authentication and efficient cryptographic processing are particularly important, including edge computing, industrial systems, secure elements and AI-enabled devices. BTQ also expects to ship test chips to selected customers and strategic partners by the end of the year for performance and functional validation.

Dr. Chih-Cheng Lu, manager of ITRI’s Electronic and Optoelectronic System Research Laboratories, added that the next stage will build on the current results through additional integration and verification.

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China has released new footage highlighting tests aboard its Type 076 amphibious assault ship Sichuan, including the vessel’s first publicly disclosed live-fire launch of countermeasures and an electromagnetic catapult test using a dead load.

The Sichuan features a new propulsion system and an electromagnetic catapult designed to support future unmanned operations at sea, marking a step toward expanding China’s naval aviation capabilities beyond traditional carrier-based platforms. 

Military observers noted that the dead load test represents an early-stage evaluation carried out before full aircraft launch trials, helping validate the performance and reliability of the electromagnetic launch system.

Operational readiness with electromagnetic catapult trial

The successful completion of the electromagnetic catapult test during the construction phase of the Type 076 amphibious assault ship suggests that the system has reached an operational and reliable stage, according to military observers. 

The vessel has already completed multiple sea trials, fueling expectations that it could soon enter service. Observers also anticipate the future release of footage showing the ship conducting launches of actual carrier-based aircraft, which would provide further insight into its capabilities, Global Times reported.

Chinese military affairs expert Song Zhongping said the Type 076 amphibious assault ship marks a significant technological advance, introducing new possibilities for naval operations. Speaking to the Global Times on Saturday, he noted that the vessel addresses the challenge of deploying carrier-based aircraft from amphibious assault ships while also driving innovation in future maritime operational concepts.

The Type 076 combines technologies developed for China’s Type 075 amphibious assault ship and Type 003 aircraft carrier, bringing together existing systems to create a more advanced naval platform. According to Song, the integration of these technologies improvaes the ship’s overall capabilities and demonstrates China’s progress in electromagnetic catapult systems and related technologies.

Enabling longer-range drone missions with heavier payloads

The electromagnetic catapult system aboard the Type 076 is expected to expand the range of aircraft the ship can deploy, supporting both manned fighter jets and larger unmanned aircraft. According to Song, the technology could allow drones to operate with heavier payloads and greater endurance, enabling them to carry additional equipment or weapons for longer-range missions.

Launched in December 2024, the Sichuan began its first sea trials in November 2025, according to Xinhua News Agency. The vessel has a full-load displacement of more than 40,000 tons and features a twin-island superstructure, a full-length flight deck, and newly integrated electromagnetic catapult and arrestor systems.

These technologies are designed to improve aircraft launch and recovery capabilities while expanding the operational flexibility of the ship. Furthermore, the vessel is designed as a multi-role naval platform capable of supporting a range of operations, including the deployment of fixed-wing aircraft, helicopters, and amphibious equipment. 

Chinese media note that the ship has successfully completed multiple rounds of sea trials, allowing engineers and naval crews to evaluate its systems, performance, and operational readiness ahead of its expected commissioning.

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Growing populations and expanding industries are intensifying freshwater shortages across parts of Africa, the Middle East, and Southeast Asia, increasing the need for sustainable water supplies. Solar desalination has emerged as a promising solution, using sunlight to convert seawater into freshwater with relatively low energy requirements.

But real-world conditions pose a challenge. Seawater near ports, shipping routes, and industrial areas is often contaminated with oil, which can clog desalination membranes and reduce their performance. 

Although many experimental solar desalination systems have shown strong results in laboratory tests using clean saltwater, it remains uncertain how effectively they would operate in polluted seawater.

New membrane design aims to make solar desalination more practical

In an effort to overcome this limitation, researchers at Pusan National University developed a multifunctional hydrogel membrane that combines oil separation and solar-driven desalination in a single system. 

Led by Professor Sanghyun Jeong from the Department of Civil and Environmental Engineering, the team designed a membrane architecture that simultaneously removes oil contaminants while producing freshwater, eliminating the need for separate treatment stages. The study was published online on June 1, 2026, and will appear in the October 15, 2026, issue of Desalination.

Inspired by the need for selective water treatment, the researchers developed a membrane with a “Janus” architecture, giving each side a distinct function. One surface is hydrophilic, made from a chitosan and polyvinyl alcohol hydrogel, allowing water to pass through while blocking oil droplets. 

The opposite surface is hydrophobic and incorporates copper oxide nanoparticles coated with a carbon shell, which are embedded within a nanofiber layer. This dual-sided design enables the membrane to handle different contaminants while supporting more efficient desalination and oil separation.

Higher oil removal and faster solar water evaporation

By separating the membrane’s functions across different layers, the researchers prevented oil separation and solar heat generation from interfering with each other, a common challenge in single-layer designs. The hydrophobic side absorbs sunlight, converts it into heat, and drives water evaporation at the membrane surface.

Testing showed that the membrane removed more than 99.99% of oil from contaminated seawater while maintaining stable performance across different oil droplet sizes and repeated cycles. During solar desalination experiments, it achieved a water evaporation rate of about 0.05 gallons per square foot per hour, nearly three times higher than conventional single-layer membranes.

According to Prof. Jeong, the new membrane technology could support more sustainable water treatment by harnessing renewable solar energy while combining contaminant removal and freshwater production in a single platform. The integrated approach has the potential to reduce energy consumption, simplify operations, and minimize secondary waste generation compared with conventional desalination methods.

The researchers suggest that the membrane developed in this study represents a broader strategy for designing next-generation water treatment technologies. By integrating multiple treatment functions into a single membrane architecture, the approach could provide a framework for creating more efficient and adaptable systems beyond desalination applications.

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The US Army is testing an experimental AI platform designed to dramatically accelerate battlefield planning by reducing decision-making timelines from days or hours to just seconds. The system, known as the Course of Action Generative Pre-trained Transformer (COA-GPT), is intended to help military personnel rapidly develop and adapt operational plans while maintaining human oversight throughout the process.

Developed by researchers at the US Army Combat Capabilities Development Command’s Army Research Laboratory, the Army’s primary fundamental research institution, COA-GPT is being evaluated as part of Project Convergence Capstone 6, the service’s largest experimentation exercise, taking place at Fort Irwin, California. 

The trial will assess how AI can support faster, more adaptable decision-making in future battlefield environments.

Tackling human-AI integration in military operations

The COA-GPT is an experimental AI platform built to speed up mission planning while providing commanders and intelligence teams with a more flexible framework for operational decision-making. 

The system is designed to address one of the military’s biggest challenges in adopting AI: ensuring effective collaboration between soldiers and AI. By combining AI-generated recommendations with human judgment, COA-GPT aims to help military personnel plan and adapt operations more quickly without removing people from the decision-making process.

According to Dr. Amar Marathe, program manager for COA-GPT at DEVCOM Army Research Laboratory, the platform combines generative AI with decades of military expertise and established doctrine to help Army leaders and soldiers generate, compare and evaluate different operational planning options. 

He stressed that the goal is not to replace human decision-makers, but to enhance their capabilities. Instead, COA-GPT is designed to fit into existing military planning workflows, enabling personnel to work faster, improve efficiency and make more informed decisions during mission planning.

Interface helps commanders guide autonomous systems

One of the key scientific challenges behind COA-GPT is enabling machines to better understand human intent across teams of soldiers and AI-enabled systems, according to Marathe. Through a partnership with Hyssos Tech, the platform incorporates an advanced graphical interface that allows leaders at different levels of command to communicate with AI more naturally. 

Using tools such as shared maps and visual inputs, commanders can better guide agentic AI systems while reducing miscommunication, cognitive burden and operational friction among personnel.

Marathe further explained that COA-GPT was developed with a flexible, plug-and-play architecture that allows researchers to replace individual components and experiment with new AI capabilities without rebuilding the entire system. This approach enables faster testing, adaptation and integration of emerging technologies as the platform continues to evolve.

Moving forward, the Army will continue refining the COA-GPT testbed through additional soldier feedback and collaboration with industry partners. Researchers will examine how generative AI could reshape the role of Army planning teams, identify the cognitive skills future planners will need and improve workflows to ensure the technology helps maintain a strategic advantage on the battlefield.

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US defense contractor Amentum has secured an $85 million contract to support the modernization of critical infrastructure within the US Navy’s Nuclear Propulsion Program (NNPP). 

The three-year agreement will focus on redesigning and upgrading spent fuel examination capabilities at the Naval Reactors Facility in Idaho, a key site responsible for supporting the Navy’s nuclear fleet. The new facility will allow scientists and engineers to analyze used fuel cores, comparing real-world performance data with predictions from advanced design and testing processes. 

The company points out that these efforts will help improve the safety, reliability, and long-term mission capability of the Navy’s nuclear-powered vessels.

Strengthening the Navy’s nuclear fuel evaluation capabilities

According to Mark Whitney, president of Amentum’s energy and environment business, the project reflects the company’s continued focus on providing the engineering expertise and operational support needed to sustain the US Navy’s nuclear-powered fleet. 

By upgrading critical spent fuel examination capabilities, Amentum aims to help the Navy better analyze, optimize, and extend the performance of nuclear fuel cores. The modernization effort is expected to provide engineers and scientists with improved tools and data to support future fleet readiness, safety, and reliability.

Whitney further noted that Amentum’s broader nuclear expertise positions the company to support some of the most complex challenges in the sector. He said the company’s capabilities cover the full nuclear project lifecycle, delivering safe, innovative, and reliable solutions for customers worldwide. 

He also added that Amentum’s integrated global nuclear expertise enables the company to take on demanding projects, including efforts that support the US Navy in maintaining the effectiveness of its nuclear-powered fleet.

Nuclear propulsion program marks decades of innovation and reliability

For more than seven decades, the Navy’s NNPP has remained at the forefront of nuclear technology, developing advanced systems to power the Navy’s global fleet. The program has built a reputation for combining innovation, safety, reliability, and operational efficiency, enabling nuclear-powered vessels to perform critical missions around the world. 

Through continuous research, engineering advancements, and rigorous testing, the NNPP continues to support the long-term performance of the US Navy’s nuclear capabilities, Amentum highlights. A collaboration between the Department of Energy and the Department of the Navy, the NNPP is responsible for overseeing the design, development, and operational support required to sustain the Navy’s nuclear-powered fleet. 

The program plays a central role in maintaining US maritime advantage by ensuring warfighters have access to vessels with exceptional endurance, stealth, responsiveness, and advanced warfighting capabilities. Through its work across the nuclear propulsion lifecycle, the NNPP helps support the reliability of the Navy’s strategic naval assets.

Furthermore, as operator of the world’s largest nuclear-powered fleet, including 11 active aircraft carriers and more than 70 submarines, the Navy relies on programs such as the NNPP and partners like Amentum to support the safety, performance, and long-term sustainability of its nuclear propulsion systems.

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US firm Rescale, a digital engineering platform that combines AI, simulation, and high-performance computing to help R&D and engineering teams design, test, and bring new products to market faster, has received funding under the Genesis Mission, a national initiative led by the US Department of Energy to build an advanced integrated science discovery platform.

As part of the program, Rescale will join Lawrence Berkeley National Laboratory, Lawrence Livermore National Laboratory, and Oak Ridge National Laboratory as a funded partner in the Agentic HPC Pipeline Initiative (AHPI). 

The initiative aims to use agentic AI on Rescale’s platform to help accelerate the adoption of national laboratory-developed computing tools and simulations by US industry.

Doubling scientific research output with AI and advanced computing

The Genesis Mission is an ambitious initiative aimed at accelerating scientific and technological breakthroughs by combining artificial intelligence, supercomputing, quantum systems, and advanced scientific instruments into a single research platform. 

Established through an executive order in November 2025, the program brings together the department’s 17 national laboratories and around 40,000 scientists and engineers to advance research in areas including energy, scientific discovery, and national security. 

Department officials have compared the scale and ambition of the initiative to landmark US efforts such as the Manhattan Project and the Apollo program, with the goal of doubling the productivity of the country’s scientific research within the next decade.

The US Department of Energy launched the first Genesis Mission funding round earlier this year, awarding $293 million to projects focused on areas including advanced manufacturing, biotechnology, nuclear energy, and quantum science. The program received more than 8,000 applications, making it the department’s largest-ever funding call.

Rescale’s AHPI was selected for Phase I funding to address a key challenge: helping industry access advanced simulation tools developed by US national laboratories that have often required specialized expertise and infrastructure.

Helping manufacturers access advanced AI-powered simulations

The company will work with three US national laboratories to bring agentic AI capabilities to advanced simulation tools. The project will integrate AI agents into WarpX, LiDO, and Adamantine, codes developed by Lawrence Berkeley National Laboratory, Lawrence Livermore National Laboratory, and Oak Ridge National Laboratory.

Using the Rescale platform, AI agents will help engineers choose simulation tools, configure inputs, monitor runs, and analyze results. The initiative aims to reduce the time and specialized expertise needed to use these simulations by more than five times, making advanced research capabilities more accessible to US manufacturers.

According to Rescale CEO Joris Poort, the Genesis Mission highlights the importance of making industrial AI technologies available to leading research and development teams that can apply them in real-world applications.

Building on Rescale’s existing partnership with ORNL’s Manufacturing Demonstration Facility, AHPI addresses a common gap: DOE-industry collaborations run for a fixed term, and once they end, partners keep the insight but lose the tools to act on it. AHPI keeps the resulting agentic workflows, surrogate models, and code environments live on Rescale, letting labs and industry keep collaborating long after a project’s funding ends.

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As AI models continue to grow in size and complexity, chipmakers are shifting their focus from individual processor performance to the ability to efficiently connect thousands of accelerators into a single computing system. 

These highly interconnected server architectures have become a key competitive area for AI infrastructure companies, which are racing to deliver the computing scale needed for models with trillions of parameters and the growing adoption of AI agents.

According to Ding Yunfan, vice president of AI framework architecture at Biren, improvements in the performance of a single graphics processing unit (GPU) are no longer enough to meet these demands. Instead, the industry’s biggest challenge is turning vast GPU clusters into unified, seamless computing platforms capable of operating as a single system.

Architecture designed to break GPU cluster limits

Biren believes the future of large-scale AI computing depends on replacing conventional electrical interconnects with optical technology. According to Ding, traditional copper-based connections are approaching their physical limits, effectively capping today’s server architectures at around 128 GPUs, the South China Morning Post reports.

To overcome that bottleneck, the company has developed a distributed, decoupled supernode architecture built around near-packaged optics (NPO), which positions optical fibres closer to the chips to increase bandwidth and improve data transmission. Biren said the approach could enable clusters with up to 1,024 AI accelerator cards, significantly expanding the scale of computing systems needed to support increasingly demanding AI workloads.

Ding said optical interconnects are becoming essential for overcoming the scalability limits of conventional server architectures. Shanghai-based Biren is among a growing number of Chinese companies tackling these infrastructure challenges. Rivals including MetaX, Enflame and Alibaba are also developing supernode architectures to compete with Nvidia’s NVL72 and next-generation NVL144 AI platforms.

Biren’s Shanghai-based rival MetaX has introduced its Xijing S600 AI supernode, featuring a single rack that connects 64 GPUs. The company said its design reduces signal loss by removing external cabling between compute nodes, switch nodes and interconnect systems, improving efficiency for large-scale AI workloads.

Looking beyond electrical links to build larger AI supernodes

Biren is also working on new approaches to expand the scale of its AI computing systems. The company’s orthogonal hardware architecture, co-developed with telecommunications giant ZTE, uses traditional electrical connections, while Biren is simultaneously testing a prototype near-packaged optics (NPO) interconnect system. 

The chipmaker said the optical approach could eventually support supernodes with more than 512 accelerator cards, helping address the growing demand for larger and more efficient AI infrastructure.

Despite growing interest in optical networking for AI infrastructure, Ding said the semiconductor industry is still in the early stages of developing and testing optical interconnect technologies. He noted that widespread adoption will require further advances before these systems can be deployed at scale.

Furthermore, Ding emphasized that the technology still requires real-world validation before it can be widely adopted. He projected that NPO optical systems could reach mass commercial deployment around 2028, as the industry continues refining the technology and addressing remaining engineering challenges.

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The US Air Force’s 142nd Wing has completed its first live bomb-dropping exercise with the F-15EX Eagle II, marking a key milestone in expanding the aircraft’s operational capabilities. In early May, pilots, maintainers, and munitions specialists traveled to Mountain Home Air Force Base in Idaho to carry out the training mission.

During the exercise, crews loaded 500-pound BDU-50 and 2,000-pound BDU-56 practice bombs onto the aircraft before releasing them over the Mountain Home bombing range. Although these training munitions closely resemble live bombs, they are filled with concrete instead of explosives, allowing crews to safely practice real-world weapons employment.

While the F-15EX has previously undergone weapons testing with the 85th Test and Evaluation Squadron at Eglin Air Force Base in Florida, this marks the first time an operational F-15EX unit has successfully loaded and dropped bombs as part of its mission readiness training.

F-15EX’s new combat role required months of pilot training

The F-15EX Eagle II is designed to do far more than its predecessor. Although it closely resembles the aging F-15C, the newer aircraft is built as a multirole fighter, capable of carrying out both air-to-air and air-to-ground missions. Unlocking that expanded capability, however, required months of preparation and specialized training across the 142nd Wing.

A key part of that effort was led by Maj. Jesse Loya, one of only three pilots in the wing with prior experience in air-to-ground operations. Together, the three completed a nine-month training program focused on the tactics and technical aspects of delivering precision-guided munitions. They then developed a training curriculum to teach the rest of the wing’s pilots the fundamentals of air-to-ground operations, laying the foundation for the unit’s first operational bomb-dropping mission.

According to Loya, the training at Mountain Home Air Force Base served as a stepping stone toward preparing pilots to safely employ air-to-ground weapons. The program focused on building the skills needed to handle ordnance while following a much shorter timeline than the traditional nine-month qualification course. 

He said the ability to complete the training so quickly reflected the experience and capabilities the pilots had developed throughout their careers, allowing the wing to accelerate the F-15EX’s transition into a multirole combat aircraft.

Weapons loaders play key role in prepping F-15EX

Preparing the F-15EX Eagle II for its first bomb-dropping mission required extensive training from weapons crews as well as pilots. Tech. Sgt. Tyler Phelps, one of the 142nd Wing’s experienced weapons loaders, traveled to Nellis Air Force Base in Nevada earlier this year to train with F-15E aircraft and earn certification to load bombs.

After returning to Oregon, Phelps and other certified Airmen trained the rest of the weapons team ahead of the Mountain Home mission. Seeing the bombs loaded onto the F-15EX marked the culmination of months of preparation and a major milestone for the 142nd Wing.

The training mission involved 10 sorties, during which crews dropped a total of 24 BDU-50 and 12 BDU-56 practice bombs. The operation was completed without any safety incidents, and all missions received satisfactory evaluations, marking a major step forward in the wing’s transition to the multirole capabilities of the F-15EX.

The next phase in the F-15EX’s air-to-ground certification process will involve loading and dropping live munitions. The crew is scheduled to conduct that mission at Nellis Air Force Base at the end of August, bringing the wing one step closer to full air-to-ground operational capability.

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British aerospace company Vertical Aerospace is set to conduct the first public electric vertical take-off and landing (eVTOL) demonstration flights at the upcoming Farnborough International Airshow. 

The event represents another milestone in the company’s journey toward certification and the eventual launch of commercial electric aircraft services.

The demonstrations come at a key stage in the company’s development, Vertical Aerospace noted. In recent months, the company has unveiled its Valo aircraft, completed successful piloted transition flights, strengthened its financial position, expanded its global technology partnerships, progressed its hybrid-electric defense strategy, and continued advancing its certification program.

Valo eVTOL moves closer to commercial operations

Following successful demonstrations of the aircraft’s core capabilities, Vertical Aerospace is now shifting its focus toward the next stage of development, with efforts centered on certification, industrialization and preparing for commercial operations.

Alongside public piloted flight demonstrations of its full-scale prototype, the company will also showcase its full-scale commercial Valo aircraft model, offering visitors a closer look at the technology behind its next-generation electric aircraft.

According to Stuart Simpson, CEO of Vertical Aerospace, the company arrives at Farnborough with the key building blocks for its next phase already in place. He said Vertical has transformed over the past year by launching its Valo aircraft, achieving piloted transition flights, strengthening its financial position and expanding its industrial ecosystem, while continuing to prove the technology.

“Every milestone we deliver reduces risk, strengthens our competitive position and brings us closer to building one of the world’s leading electric aerospace companies,” Simpson noted. A major highlight of Vertical Aerospace’s presence at the Farnborough International Airshow will be its planned flight demonstrations, which are set to mark the first public eVTOL aircraft demonstrations at the event.

Company targets key certification and production milestones after expanding flight tests

The company intends to conduct demonstration flights throughout the show, subject to approved flight conditions. The planned flights follow the UK Civil Aviation Authority’s recent expansion of Vertical’s Permit to Fly, allowing the company to carry out public demonstrations beyond its Flight Test Centre at Cotswold Airport for the first time.

Following the expanded flight approval, Vertical’s test pilots have successfully operated the aircraft across multiple locations, including RAF Brize Norton, RAF Benson, Blackbushe Airport and Farnborough Airport. These flights have expanded the company’s test program, providing valuable experience across different operating environments.

The company is also targeting several important program milestones that will support the development, production, and commercial rollout of its aircraft. These include completing the Critical Design Review (CDR) by the end of 2026, which will establish the certifiable design baseline for the aircraft and enable the production and testing of certification-conforming models. 

Furthermore, the UK firm plans to bring its early production aircraft assembly facility online in Q3 2026 and expand the Vertical Energy Centre in Q4 2026 as part of its industrialization efforts. In addition, Vertical expects to select a long-term turbogenerator supplier during 2026, ahead of beginning hybrid-electric flight testing in the first half of 2027.

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A new study published in Nanotechnology journal Nature Publishing Group’s Nature Nanotechnology has found that microscopic boron nitride nanotubes can transport lithium ions at speeds far greater than previously expected. 

These tiny tube-shaped channels were shown to selectively move lithium ions while blocking many other ions, effectively creating a high-speed pathway for lithium transport. The findings suggest that boron nitride nanotubes could serve as a promising platform for next-generation separation technologies. 

Potential applications include clean energy production, including blue energy systems that generate power from the mixing of saltwater and freshwater, as well as more efficient lithium extraction for battery manufacturing.

New ion transport mechanism surpasses theoretical expectations 

According to Sangil Kim, the newly identified transport mechanism enables lithium ions to move through nanotubes at exceptionally high speeds. Kim, an associate professor of chemical engineering at University of Illinois Chicago and co-author of the study, noted that the observed ion transport rates significantly exceeded both theoretical predictions and results reported in existing experimental systems, highlighting the unusual efficiency of the nanotube-based approach.

Efficient ion transport plays a critical role in a wide range of industrial applications. When salts dissolve in water, they split into positively and negatively charged ions that travel through nanochannels at varying speeds. Managing and controlling this ion movement across membranes is essential for advancing technologies such as batteries, desalination systems, critical mineral extraction, and renewable energy generation.

Still, balancing fast ion movement with high selectivity remains a major scientific and engineering challenge. In this study, the researchers developed membranes containing millions of tiny boron nitride nanotubes, which have charged surfaces and unusual transport properties. When placed between solutions with different salt concentrations, the membranes allowed ions to pass through much more quickly than expected. 

Lithium ions stood out in particular, moving about 31 times faster than predicted. The results also showed strong selectivity, with lithium ions traveling through the channels significantly faster than other types of ions.

Electric eel-inspired system turns ion flow into usable energy 

To demonstrate the potential of the system, Kim and his team showed that the small membranes could generate enough energy from salt solutions to power simple electronic devices. Kim noted that they were able to operate a watch and a calculator using this approach. 

The concept of producing electricity from ion movement is not new, and as Kim explained, electric eels use a similar principle in nature, generating electrical bursts by controlling ion flow across specialized cells known as electrocytes.

Electrocytes rely on ion channels to convert chemical gradients into electrical energy, a natural process that has long inspired efforts to replicate similar mechanisms in engineered systems, including the membranes developed in this study.

Going forward, Kim and his team aim to explore additional applications for the technology, with a particular focus on the nanotubes’ ability to separate lithium. He noted that the findings could potentially be used for lithium recovery from waste batteries, with the team also planning to investigate the underlying physics in more detail to better understand what drives the unusually fast ion transport observed in the system.

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The activity is being carried out under a lease agreement with NorthStar that gives Zeno Power access to specialized nuclear-grade infrastructure, enabling initial deliveries to government customers as early as 2027, followed by a planned ramp-up in production capacity and targeting the ability to scale nuclear battery production from 2028 onward.

The work is based at the Vallecitos complex, a 1,600-acre site established in 1957 that once hosted the US’ first privately owned nuclear power plant and held Power Reactor License No. 1 issued by the Atomic Energy Commission. The site historically supported reactor research, fuel testing, and isotope production. 

In March 2025, former operators finalized an agreement with NorthStar to carry out decommissioning and restoration of the wider facility. That remediation work will continue across the site in parallel with Zeno’s manufacturing operations within a designated hot cell area.

Decontaminated hot cells brought online

According to Zeno Power co-founder and CEO Tyler Bernstein, the Vallecitos site represents a foundational location in the history of US commercial nuclear energy, and the company intends to build on that legacy through its work on nuclear batteries for critical national missions.

The US firm has recently taken possession of initial decontaminated hot cells at the facility, which are heavily shielded rooms designed for the safe handling of radioactive materials. Non-radiological operations have already begun on site, while the start of radiological activities is expected later this year, pending regulatory approval.

The Vallecitos Nuclear Center holds existing decommissioning licenses from the US Nuclear Regulatory Commission and California regulators, along with rare hot cell infrastructure in the US. Hot cells are heavily shielded rooms that allow nuclear materials to be handled remotely using mechanical arms and lead-glass viewing systems, enabling safe assembly work involving radioactive components.

Zeno Power’s restoration of the facilities takes place within this licensed framework and existing infrastructure, while the company’s activities are also expected to support retention and development of nuclear-skilled labor as the site transitions through decommissioning and limited industrial reuse.

Company adds third location in California, citing regional talent base

The expansion is expected to draw on engineering, nuclear, and operations expertise across Berkeley, Livermore, and Silicon Valley. The new facility will be Zeno Power’s third location, complementing existing offices and laboratories in Seattle, Washington, and Washington, D.C.

Alameda County Supervisor David Haubert described the project as a significant development for the region, citing high-skilled job creation, the retention of specialized nuclear expertise at Vallecitos, and increased economic activity. He said the investment positions Alameda County as a hub for advanced manufacturing supporting defense, space, and commercial applications.

Katie Marcel, CEO of Innovation Tri-Valley Leadership Group, noted that the organization welcomes Zeno Power to the region as it develops its nuclear battery production capabilities. The planned manufacturing activity at Vallecitos is positioned within broader US efforts to strengthen domestic radiological and nuclear infrastructure amid rising demand for nuclear energy applications. 

The initiative is also described by the company as aligning with a White House’s executive order which outlines steps toward expanding the US nuclear sector. The company further notes that by using an existing licensed facility for production, the project contributes to ongoing efforts to reestablish parts of the domestic nuclear industrial base for long-term energy and mission-critical applications.

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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A team of researchers at the Osaka Metropolitan University has developed a more practical approach to artificial photosynthesis by creating a device that can regulate itself without relying on a battery-powered control system. By removing the need for this additional component, the design reduces both the cost and complexity of producing solar fuels.

Like the natural process used by plants, artificial photosynthesis harnesses sunlight to convert water and carbon dioxide into energy-rich compounds. In this system, the end product is formic acid, a chemical that can be stored and later used as a clean fuel or industrial feedstock.

The key element is the electrolyzer, which converts the electricity generated by solar cells into chemical energy, making it possible to capture and store solar power in the form of formic acid for future use.

Breakthrough reduces reliance on complex electronics

Maintaining efficient solar fuel production becomes challenging when sunlight intensity changes throughout the day. To address this, many artificial photosynthesis systems rely on a technique known as Maximum Power Point Tracking (MPPT), which continuously adjusts voltage and current to ensure solar cells operate at their highest possible efficiency. 

However, conventional MPPT setups usually require batteries or extra electronic control hardware to smooth out fluctuations in energy flow. These additional components add both cost and engineering complexity, making large-scale deployment of artificial photosynthesis systems more difficult.

To deal with this challenge, a research team at Osaka Metropolitan University developed a simpler artificial photosynthesis system by building the control function directly into the electrolyzer. Led by Associate Professor Yasuo Matsubara and Professor Yutaka Amao, and working with Iida Group Holdings Co., Ltd, the researchers integrated a special solid electrolyte into the device.

Instead of depending on batteries and additional electronic controls to keep the solar cells running efficiently, the new electrolyzer can adjust itself automatically. It uses the properties of the solid electrolyte to regulate its electrical behavior, allowing it to perform the Maximum Power Point Tracking (MPPT) function without extra hardware.

Heat-responsive electrolyzer keeps solar fuel production running efficiently 

According to Professor Amao, the system automatically responds to changes in sunlight without the need for external controls. As solar intensity rises, the electrolyzer warms up, which lowers its electrical resistance and allows electricity to flow more easily. This built-in response enables the device to adjust its own electrical behavior and maintain efficient operation.

Amao added that the built-in self-regulating mechanism helps maintain more consistent fuel production throughout the day while reducing the need for batteries and other expensive external hardware. By automatically adjusting to changing conditions, the system also simplifies the overall design.

To demonstrate the concept, the researchers tested a prototype equipped with the new technology under real outdoor sunlight. The device was able to continuously convert water and carbon dioxide into formic acid, maintaining stable performance even as sunlight intensity changed.

The researchers further noted that the technology has already demonstrated its practical potential in a real-world setting. According to the team, the system generated enough formic acid to power a miniature diorama displayed at the pavilion, illustrating how an efficient artificial photosynthesis system could one day produce and store clean energy for use in household applications.

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Nylon is one of the world’s most widely used synthetic materials, but producing it still relies heavily on fossil fuels and energy-intensive industrial processes. Researchers now believe there could be a cleaner alternative. 

In a new study published in Nature, scientists describe a technique that converts lignin – a tough, woody component of plants that is often discarded or burned – into adipic acid, one of nylon’s key chemical building blocks. The approach combines refinery-inspired chemical processing with specially engineered microbes that carry out highly selective reactions. 

According to the researchers, the hybrid system delivers a significantly higher yield of adipic acid than previous lignin-based methods, potentially paving the way for a more sustainable and lower-carbon route to nylon production.

New value in a long-ignored industrial byproduct

Often treated as little more than industrial waste, lignin is the natural polymer that gives plants their strength and rigidity. It is one of the most abundant organic materials on the planet and is believed to be the largest underused component of biomass. Every year, millions of tons of lignin are generated as a byproduct of the paper and biofuel industries, with most of it simply burned as a low-value source of energy.

Yet lignin contains a wealth of carbon-rich aromatic structures that could be converted into valuable industrial chemicals. The challenge has been finding an efficient and cost-effective way to break it down into simple, high-value compounds at commercial scale. Researchers have long struggled because lignin-rich byproducts are typically complex, inconsistent mixtures that are difficult to process and refine.

Although lignin has long been seen as a promising renewable source of aromatic chemicals, its complex and highly variable structure has limited its industrial use. The researchers note that lignin often degrades during extraction, while most current processing methods produce complicated mixtures of chemical compounds rather than simple, high-value molecules suitable for large-scale manufacturing.

These limitations mean that current lignin conversion techniques usually achieve yields of only around 20% for any single product, making them commercially unattractive. They also tend to generate complex mixtures of phenolic compounds that are difficult to separate and refine. A more efficient way to convert lignin into adipic acid or other nylon precursors could help reduce both biomass waste and the carbon footprint associated with petroleum-based plastics.

Hybrid chemical and biological process could transform nylon manufacturing

The new approach could help transform low-value plant waste into a key ingredient for nylon production by combining established chemical processing with engineered bacteria. The process begins with poplar wood chips, from which lignin is extracted and broken down into an oil rich in aromatic compounds. 

This oil is then treated in a reactor that removes unwanted oxygen-containing groups, followed by another chemical step that converts it into water-soluble aromatic acids. Finally, engineered microbes complete the process by turning these intermediates into adipic acid.

The researchers then introduced an engineered bacterium, Pseudomonas putida, which converts most of the aromatic carboxylic acids in the mixture into muconolactone. This intermediate can then be chemically transformed into adipic acid, a key component in nylon production.

In experiments, the process achieved an adipic acid yield of about 26 wt% (grams of product per gram of lignin). However, the team estimates that with further optimization, yields could potentially reach up to 57 wt%. They also demonstrated that the method works across different wood sources, including poplar, pine, and birch, suggesting it could be applied broadly to various types of lignin feedstocks.

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The German defense technology company Helsing has presented an electronic attack variant of the CA-1 autonomous unmanned aircraft at the International Aerospace Exhibition in Berlin. The platform named CA-1EA builds on the company`s existing CA-1 Europa architecture. 

CA-1 Europa is 4 ton class, single engine unmanned combat aircraft employing a low observable design. It has a length of 11 meters and a wingspan of 10 meters. Its autonomy is centered around the Helsing’s Centaur AI pilot stack and advanced mission systems.

The original combat variant, which the company is already producing, will now carry the designation CA-1KA (Kinetic Attack), distinguishing it from the new electronic warfare model. According to the company, the electronic attack variant is intended to provide non-kinetic effects on the battlefield by disrupting and degrading enemy sensors and reconnaissance networks. 

Helsing argues that modern air forces increasingly need a combination of kinetic and electronic attack capabilities to penetrate advanced air defence systems and counter sophisticated surveillance assets, making autonomous electronic warfare platforms a key component of future military operations.

New CA-1EA creates safer corridors through enemy air defences

Modern military operations depend heavily on suppressing enemy radar and surveillance networks before strike aircraft enter contested airspace. Helsing says the CA-1 EA is designed to fill that role by using airborne electronic warfare capabilities to disrupt and jam hostile ground-based radar systems. By interfering with an adversary’s ability to detect and track targets, the autonomous aircraft can help create safer flight paths for other assets operating behind it.

The company notes that the CA-1EA is designed to work alongside autonomous systems such as the CA-1 Europa as well as conventional crewed fighters, including the Eurofighter, extending electronic protection across mixed air fleets.

Both the CA-1KA and the CA-1EA electronic warfare variant are built on a common architecture, using the same airframe, propulsion system, autonomy software stack, and ground control infrastructure. The distinction between the two platforms is primarily defined by their payload configurations, which determine whether the aircraft is optimised for kinetic or electronic effects on the battlefield.

By standardising the core design across both variants, the German company aims to reduce production and lifecycle costs while streamlining manufacturing processes. The shared system architecture also simplifies logistics and maintenance requirements, while making it easier for operators to transition between mission types and train across both configurations within a unified operational framework.

Flexible CA-1 platform aims to meet diverse air force requirements 

As the company further explains, this modular approach enables the CA-1 platform to evolve further, giving it the flexibility to be adapted to the operational needs of European air forces. By maintaining a scalable and shared architecture, the system can be configured for different mission profiles without requiring a complete redesign. 

This design philosophy is intended to support rapid capability expansion while aligning with the varied requirements of modern European defense users.

“Modern air forces cannot do without electronic warfare. Helsing has been working to develop this capability for years. The CA-1EA is the result: an unmanned system that operates alongside the CA-1KA at tactical range, but can also be deployed flexibly as a standalone platform for electronic warfare,” said Stephanie Lingemann, vice president for air domain at Helsing.

The CA-1 platform is still under development, with the first flight of the CA-1 Europa attack variant planned for early 2027. It is being developed and produced in southern Germany by Helsing’s subsidiary Grob Aircraft, positioning the system as a fully European solution for German and allied air forces. The first operational capability is expected in 2029 for the CA-1KA variant, followed by 2031 for the CA-1EA electronic warfare version.

At the heart of the patented technology is a baseline imaging approach that creates a visual reference of the vehicle’s underside. When the car is switched off and in a stable state, the system captures and stores an image of the underbody, establishing a snapshot of what the area should normally look like.

Later, when the vehicle is preparing to move or performing a safety check, new real-time images are taken and compared with the stored reference. Rather than processing the entire underbody scene every time, the software focuses only on areas where it detects a change from the baseline image. 

These altered sections are isolated as target images and sent for more detailed analysis, allowing the system to reduce computing demands while quickly identifying anything unusual beneath the vehicle.

AI safety technology could help prevent underbody accidents

Rather than repeatedly processing every component beneath the car, the patented system is designed to ignore elements that remain unchanged from one scan to the next. Fixed structures such as the battery pack housing, suspension components, aerodynamic covers, and other underbody hardware are treated as part of the reference environment, allowing the software to concentrate on anything that appears or moves after the baseline image has been recorded.

Once a new or altered area has been identified, the technology performs a more detailed examination of that specific section. It extracts visual features from the target image, analyses them using its detection algorithms, and determines whether the object is a living organism. The system can then assess the detected subject’s condition or status before deciding whether further action or a safety warning is required, CarNewsChina reported.

Unlike in-cabin monitoring technologies, identifying living organisms beneath a vehicle presents a far more complex computer-vision challenge. The space underneath a parked car is highly unpredictable, with constantly changing environmental conditions that can interfere with accurate detection.

Shifting shadows, uneven lighting, road debris, accumulated dirt, and different ground textures all create visual noise that makes reliable recognition difficult. Conventional motion-detection systems can also generate false positives, often failing to distinguish between ordinary environmental changes and the presence or movement of a person or animal beneath the vehicle.

Two-stage detection system could make parked cars safer

Instead of depending exclusively on object-recognition software, BYD’s patented technology first builds a unique visual reference of the area beneath each parked vehicle. By comparing new images against this stored baseline, the system can quickly identify anything that has changed in the underbody environment before carrying out a more advanced analysis.

Only after these differences have been isolated does the software apply its recognition algorithms to determine whether the detected object is a person, an animal, or another living organism. This layered, two-step process is designed to improve the accuracy of the detection system while cutting down on false alarms triggered by fixed structures or other non-threatening objects that remain stationary beneath the vehicle.

The patent also aligns with BYD’s broader push into advanced vehicle safety systems. The company recently unveiled another invention designed to detect forgotten occupants inside a car using radar-based sensing and signal analysis.

Together, the two technologies monitor opposite sides of the vehicle – one focusing on the cabin and the other on the space underneath. The approach suggests BYD is building a wider sensing ecosystem that combines computer vision, radar, and intelligent monitoring to improve overall vehicle awareness.

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The design philosophy behind the American lunar architecture depends heavily on a single high-performance main engine responsible for critical mission phases. During descent, that engine governs the entire journey from lunar orbit down to the Moon’s surface. 

On ascent, the same single-point system becomes the only means of returning astronauts to lunar orbit. The lack of redundancy means that a malfunction would eliminate any backup option, a concern highlighted in a peer-reviewed study published in Chinese Space Science and Technology in March, which argues the system “contains some glaring weaknesses.”

By contrast, China’s proposed lunar lander adopts a multi-engine approach. Developed by a Shanghai-based national laboratory team, it uses four variable-thrust engines producing over 30 kilonewtons collectively. Even if one engine fails entirely, the remaining three would still deliver thrust comparable to the main engine of NASA’s Orion spacecraft.

Lunar ascent safety debate centers on redundancy versus mass constraints

Beyond the primary propulsion system, the design includes an additional safeguard layer intended to improve mission resilience. If the main engines were to become inoperative, six smaller orbit-control thrusters can still be activated on the lunar surface, providing an alternative pathway for a rapid ascent. This redundancy raises a broader engineering question: if multiple engines offer greater safety than a single one, why are they not universally adopted, the South China Morning Post writes.

The constraint is mass, as additional engines typically increase overall vehicle weight, reducing efficiency and payload capacity. The Chinese engineering team addressed this trade-off through a structural optimization known as a common bulkhead tank, which integrates fuel storage more efficiently and reduces excess mass while still enabling a multi-engine configuration.

China introduced a new tank design in a crewed deep-space vehicle that uses a pressure-fed system, where fuel and oxidiser are separated by a shared wall, often called a “common bottom.” In earlier lunar lander designs, the two propellants were stored in completely separate tanks, which added extra structural weight and took up more space inside the vehicle.

By combining them into a single structure with a shared barrier, the system reduces unnecessary duplication in the tank framework. According to the researchers, this change cuts weight at the “hundred-kilogram level,” making the overall design more efficient without sacrificing capacity or performance.

Hot-fire tests validate new lightweight tank architecture for space missions

The reduction in mass created by this design enables the use of four engines instead of a single main unit, increasing redundancy without exceeding launch constraints. Built from composite materials, the tank achieves more than a 20 per cent weight reduction compared to traditional metal alternatives. 

Beyond storing propellant, the structure also serves a dual purpose as a load-bearing component of the spacecraft, effectively becoming part of the vehicle’s frame and improving overall mass efficiency. The approach is backed by experimental validation, with the paper drawing on results from full-system hot-fire tests. These tests provide real-world performance data under operating conditions, confirming the feasibility of the integrated structural and propulsion design.

Test results indicate that the four variable-thrust engines can be closely coordinated, keeping thrust variation within less than 100 Newtons. This level of precision is crucial for preventing unstable motion that could cause the lander to tumble during critical flight phases. The experiments also suggest that pressure challenges within the common bulkhead tank can be effectively managed.

Replicating this kind of system would be difficult for any other space programme. It requires highly precise autonomous control of pressure inside a shared-tank structure operating with very narrow safety margins. In addition, it demands tightly synchronised performance across multiple throttling engines, a task that becomes significantly more complex as each additional engine is introduced.

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AI giant Anthropic has been forced to suspend access to its most advanced artificial intelligence models for users outside the US after the Trump administration imposed sweeping new export restrictions on the technology. The decision effectively blocks foreign governments, businesses, researchers, and individuals, as well as foreign nationals residing in the US, from using the company’s latest AI systems.

According to a US administration official, Commerce Secretary Howard Lutnick informed Anthropic CEO Dario Amodei in a letter sent on Friday that the company’s newly released Fable 5 and Mythos 5 models are now classified under export control rules.

To comply with the directive, Anthropic has moved to disable access for all affected users, reflecting Washington’s growing view that cutting-edge AI capabilities should be treated as strategically sensitive technologies.

Broad export restrictions leave no room for exceptions

Anthropic said it chose to disable access to its two newest AI models entirely because the new US restrictions apply to a wide range of users, making selective enforcement impractical. The rules cover foreign governments, companies, and individuals, and even extend to some foreign-born Anthropic employees working in the country, the Wall Street Journal reported.

“The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance. Access to all other Claude models is not affected,” the company said in a statement on X, noting that they were “working to restore access as soon as possible”. 

WSJ also notes that the decision marks one of the clearest signs yet that Washington is willing to intervene directly in the global AI race, treating advanced models as strategic technologies rather than ordinary commercial products. 

For companies such as Anthropic and its rivals, which are competing aggressively to release ever more capable systems ahead of highly anticipated public listings, regulatory hurdles and forced slowdowns can carry enormous financial consequences. Any disruption to product rollouts or access to international markets risks delaying growth plans and could ultimately cost the industry billions of dollars in lost revenue and valuation.

Mythos access freeze raises concerns for critical infrastructure security 

The suspension of access to Mythos could have immediate consequences far beyond the AI sector, as governments and private organizations have increasingly relied on the model to detect and fix software vulnerabilities. A prolonged shutdown could disrupt ongoing cybersecurity operations and delay critical defensive work across a range of industries, WSJ adds.

Sectors such as finance, energy, and critical infrastructure have already integrated the technology into their security workflows. The development comes only days after Anthropic introduced Fable, a next-generation model built on the same advanced architecture as Mythos, making it available to the public with additional safeguards designed to limit potentially dangerous capabilities.

Tensions between Anthropic and the Trump administration have been building for months over the rules governing how the Pentagon can deploy the company’s AI systems. At the center of the dispute are the safety guardrails and operational limits attached to Anthropic’s models. 

According to Washington DC-based AI columnist Ron Schmelzer, the biggest takeaway from the latest restrictions is that governments are increasingly treating advanced AI as a strategic technology, on par with nuclear capabilities or high-grade encryption.

“While the US was focusing on preventing foreign users from accessing Anthropic’s most powerful models, Anthropic’s reaction of making it unavailable to everyone shows that there’s a tension here between the AI mega companies efforts to rapidly increase their market share and profitability and governments efforts to make sure that AI is used for their benefit. In this push and pull, who will win, multi-billion dollar companies (or even trillion-dollar) or powerful governments?” he tells Interesting Engineering (IE).

The latest decision to impose new restrictions could further intensify that standoff, raising the stakes in an increasingly contentious debate over the military use of advanced AI.

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