CASE’s new TL100EV mini track loader is finally reaching real-world customers, and they’re putting it to work in some of the industry’s most demanding applications – from low-emission zones and no-drip job sites and noise-sensitive locations. Even indoors!

Diesel-electric locomotives have been barreling along America’s wide-open spaces for generations, and the century-old combination of consistent, high-efficiency diesel engines spinning up generators to power high-torque electric motors has proven tough to beat. Now, Caterpillar is putting that century-old concept to work in an even bigger dozer – and the promised efficiency gains are incredible.

When a tunnel catches fire, temperatures inside the concrete lining can soar to 800 or 900 degrees Celsius, and the emergency response almost always involves dousing the structure with water. A new study suggests that this familiar firefighting image—flames followed by a torrent of cooling water—may be doing far more damage to the concrete than engineers have typically accounted for. Researchers investigating basalt fiber-reinforced concrete have found that how a fire-damaged structure is cooled can be as important as how hot it got in the first place, with water quenching consistently inflicting greater strength loss than slow, natural cooling across every temperature they tested.

The research, published in Case Studies in Construction Materials, systematically examined how heating temperature, cooling regime, fiber content, and impact loading combine to determine whether concrete survives a fire with its load-bearing capacity intact. The team, led by Yang Liu and colleagues including Delin Li, Jinyue Dong, Yingda Zhang, Xianliang Zhou, and Qiong Zhou, chose basalt fiber-reinforced concrete, or BFRC, as their test material because of the fiber’s unusual combination of properties. Basalt fibers, drawn from volcanic rock, offer high tensile strength, thermal stability up to melting points between 1350 and 1450 degrees Celsius, and a cost profile far more attractive than premium alternatives such as carbon fiber. This makes them an appealing candidate for tunnel linings, where fire resistance and economy must be balanced.

The experimental design was exhaustive. The researchers prepared a C35-grade concrete mix—the grade commonly recommended for tunnel design—using ordinary Portland cement, medium sand, and continuously graded gravel between 5 and 10 millimeters. Into this base mix they incorporated chopped basalt fibers, 12 millimeters long with a monofilament diameter of 17 micrometers, at volume fractions of 0, 0.1, and 0.2 percent. The fibers were added in small batches during dry mixing to prevent agglomeration, and the fresh concrete was cast into cylindrical specimens measuring 50 millimeters in diameter and 25 millimeters in height, then cured under standard conditions at 20 degrees Celsius and 95 percent relative humidity.

The thermal assault began in a high-temperature electric oven capable of reaching 1200 degrees Celsius. Specimens were heated at a controlled rate of 5 degrees Celsius per minute to target temperatures of 200, 400, 600, and 800 degrees Celsius, then held at temperature for a full hour to ensure the heat penetrated the interior. Half the specimens were then removed and allowed to cool naturally in ambient air, mimicking a structure left to cool on its own after a fire. The other half were plunged immediately into a tank of tap water, replicating the thermal shock of firefighting operations. After cooling, the water-immersed specimens were conditioned in air for seven days to return them to a natural moisture state before testing.

The dynamic mechanical properties were then probed using a split Hopkinson pressure bar, the workhorse instrument for measuring how materials behave under the extreme strain rates produced by impacts and blasts. The apparatus used bars 75 millimeters in diameter, made of high-strength steel with an elastic modulus of 210 gigapascals, with a striker bar propelled by compressed gas striking an incident bar that transmitted stress waves through the specimen. Three impact velocities—3.5, 4.4, and 5.2 meters per second—were tested, achieved by varying the operating gas pressure, with three specimens per condition. A thin pulse shaper was pasted at the impact end of the incident bar to smooth out high-frequency oscillations, and stress equilibrium between the two faces of each specimen was verified from strain-gauge signals, confirming the reliability of the data. Fragments from each impact were sieved through meshes ranging from 4.75 millimeters down to 75 micrometers so that a fractal dimension could be calculated, providing a quantitative measure of how thoroughly each specimen shattered.

The visual evidence of thermal damage followed a familiar but telling progression. At 200 degrees Celsius, the concrete surfaces turned bluish-gray, with no cracking. By 400 degrees, the color shifted to yellowish-gray, still structurally sound. At 600 degrees, fine cracks appeared along with slight surface peeling, and by 800 degrees the specimens showed severe cracking, spalling, and edge breakage. Water-cooled specimens generally exhibited more pronounced surface damage than their naturally cooled counterparts, and at 800 degrees the concave shape at the start of the stress-strain curve—evidence of pre-existing microcracks being closed under compression—was especially marked in the water-quenched samples.

The strength data told a stark quantitative story. For naturally cooled specimens containing 0.2 percent basalt fiber, the dynamic peak stress at an impact velocity of 3.5 meters per second fell from 51.1 megapascals at room temperature to 18.6 megapascals at 800 degrees—a reduction of 63.6 percent. Water cooling made matters worse across the board: at the same impact velocity, the reductions reached 23.9 percent at just 200 degrees and climbed to 64.9 percent at 800 degrees. Averaged across the temperature range, each 100-degree increment cost naturally cooled specimens roughly 6.7 to 8.0 percent of their strength, while water-cooled specimens lost about 7.5 to 8.1 percent per 100 degrees. The gap between the two cooling regimes widened at higher impact velocities: at 5.2 meters per second and 800 degrees, the water-cooled specimens suffered 6.4 percent greater strength loss than the naturally cooled ones, whereas at the lowest velocity the difference was a mere 1.3 percent. The explanation lies in competing timescales—at slow loading rates, cracks have time to propagate and dissipate energy, blunting the effect of water-induced damage, but at high rates the loading outpaces the material’s energy dissipation, and the microcracks created by thermal shock propagate catastrophically.

Against this backdrop of degradation, the basalt fibers demonstrated genuine protective power. At every temperature from 200 to 800 degrees, specimens with 0.2 percent fiber content outperformed both plain concrete and the 0.1 percent mix. At 400 degrees and an impact velocity of 3.5 meters per second, the naturally cooled fiber-reinforced specimens reached peak stresses of 40.1 megapascals, some 16.9 percent above plain concrete, while at 200 degrees under water cooling the 0.2 percent mix achieved 38.8 megapascals—a remarkable 32.4 percent improvement over unreinforced concrete. The mechanism, the authors explain, is architectural: randomly distributed fibers form a three-dimensional network that binds tightly with the cementitious matrix, reduces internal pores and cracks, and bridges microcracks before they can coalesce into fracture surfaces. But this protection has a ceiling. Above roughly 600 degrees, the fibers begin to degrade and lose their reinforcing capability, and the fiber-matrix interface—already weakened by thermal mismatch between fiber and paste—becomes a liability during water quenching.

Fractal analysis of the impact debris added another layer of insight. The fractal dimension of the fragments rose steadily with temperature, from around 1.82 at 200 degrees to above 2.3 at 800 degrees under the highest loading rate, indicating progressively finer and more complex fragmentation. Water-cooled specimens consistently shattered into finer pieces than naturally cooled ones, particularly at 600 and 800 degrees, confirming that the steep thermal gradients during quenching seed dense populations of microcracks that later explode into fracture networks under impact.

Microstructural investigation grounded these observations in chemistry and physics. X-ray diffraction of specimens heated to 800 degrees showed the disappearance of calcium hydroxide peaks and weakened calcium carbonate signals, evidence that these phases had thermally decomposed—reactions that release vapor, increase porosity, and weaken the matrix. Scanning electron microscopy revealed the deterioration in vivid detail: an unheated specimen showed a dense microstructure with abundant calcium-silicate-hydrate gel and a compact interfacial transition zone around each aggregate, while specimens heated to 800 degrees contained no detectable C-S-H gel at all, their structure riddled with pores and cracks and hosting instead a dicalcium silicate-like phase. Comparing cooling regimes at 400 degrees, the naturally cooled sample remained relatively dense and rich in hydration products, whereas its water-quenched twin displayed obvious cracks at the interfacial transition zone and a loosened surrounding matrix—the fingerprint of thermal shock stress racing through the cooling material.

The practical implications reach well beyond the laboratory. Tunnel linings that survive a fire are routinely assessed and, if necessary, repaired, but this study shows that the assessment itself must account for the cooling history. A lining quenched by firefighting water may be significantly weaker than its peak temperature alone would suggest, particularly if it subsequently faces dynamic loads from traffic vibration, rockfall impacts, or secondary events. Conversely, the results give engineers a positive tool: specifying basalt fiber reinforcement at around 0.2 percent by volume can meaningfully bolster the impact resistance of fire-exposed concrete below 600 degrees, at a modest material cost. The authors frame their work as a theoretical foundation for post-fire safety assessment of tunnel linings and for the wider engineering adoption of basalt fiber-reinforced concrete—a reminder that in structural fire engineering, what happens in the minutes after the flames matter almost as much as the fire itself.

Volvo designed the 50-ton class EC500 Electric to deliver the same performance as the diesel-powered EC500 the brand’s customers know and love – but saying that is one thing. Proving it? That’s another thing, entirely.

BLUETTI says its new Pioneer 5000 E-Generator is built for the “Next Generation of Real Work,” as the brand expands into professional job site power delivery with a battery-backed and noise-free alternative to conventional ICE-powered generators.

This week, Chinese equipment brand LiuGong officially launched its battery-electric equipment and material handling asset portfolio in the United States and Canada, making it easier than ever for construction and forestry crews to decarbonize their fleets.

In a groundbreaking advance that bridges molecular biology and evolutionary science, researchers at The University of Osaka have unveiled a novel methodology to resurrect ancestral proteins, specifically rhodopsins, enabling direct experimental investigation of these ancient molecules. This work, published in ACS Omega, outlines an innovative sequence reconstruction technique that integrates structural information and attentively accounts for insertions and deletions in protein sequences — a crucial improvement over conventional alignment methods that struggle with highly variable protein domains.

Microbial rhodopsins constitute a diverse family of membrane-embedded proteins with critical biological functions, ranging from ion transport to photoreception. Despite sharing a common structural feature of seven transmembrane helices, these proteins exhibit remarkable functional diversity, largely attributed to extensive variation in their extramembrane domains. Traditional sequence alignment algorithms fall short in tracing their evolutionary trajectories, as they typically do not handle complex insertions and deletions (indels) effectively, especially in variable regions outside of transmembrane segments.

Addressing these challenges, the team led by Haruto Ishikawa and Yasuhisa Mizutani developed ConsistASR, a structure-guided and indel-aware sequence reconstruction pipeline. This approach leverages three-dimensional structural insight to inform sequence alignment, thereby improving the accuracy of reconstructing full-length ancestral rhodopsin proteins. By carefully modeling sequence variability in extramembrane domains, the researchers were able to faithfully infer ancestral sequences that maintain key structural and functional attributes.

Focusing on two subfamilies of microbial rhodopsins—schizorhodopsins and heliorhodopsins—the study successfully resurrected their ancestral versions and expressed these proteins in Escherichia coli. The functional assays revealed that the ancestral schizorhodopsin exhibited light-driven proton pumping activity, consistent with its modern descendants, whereas the ancestral heliorhodopsin lacked ion transport activity, perfectly aligning with the known characteristics of extant heliorhodopsins.

Notably, the ancestral schizorhodopsin protein exhibited the expected spectral properties and stability, signifying correct folding within the bacterial membrane environment. This functional proof of concept not only validates the reconstruction pipeline but also opens a window into the evolutionary dynamics that have shaped rhodopsin diversification over time. The ability to experimentally produce and assay these ancient proteins allows scientists to study evolutionary adaptations at a molecular level with unprecedented precision.

The significance of this work extends beyond just the rhodopsin family. The ConsistASR platform provides a powerful toolkit that can be generalized to reconstruct other ancestral proteins characterized by variable length sequences and complex indels. Such reconstructions are invaluable for evolutionary biology, synthetic biology, and protein engineering, providing empirical insights into how proteins have evolved to acquire new functions and properties.

This innovative integration of sequence, structural, and functional analysis reflects a broader trend in molecular evolution research, where computational biology synergizes with experimental validation to overcome traditional obstacles. As the genomic and structural databases continue to expand, methods like ConsistASR could revolutionize our understanding of protein evolution and functionality by enabling direct interrogation of ancient biomolecules.

The study also tackles a fundamental evolutionary biology question—how functional diversity arises within a protein family while preserving core structural frameworks. By showing that ancestral proteins can be reconstructed in full length and retain distinct biophysical and functional profiles, the research provides direct empirical evidence for evolutionary trajectories that have resulted in contemporary diversity.

Moreover, the expression of these ancestral rhodopsins in bacterial hosts exemplifies how modern synthetic biology tools can resurrect and characterize long-extinct molecular functions. This not only informs evolutionary theory but also offers potential applications in biotechnology, where ancestral proteins might possess unique stability or functional features suitable for industrial or medical purposes.

In practical terms, illuminating the evolutionary path of microbial rhodopsins aids in comprehending microbial adaptation to various ecological niches, given these proteins’ pivotal role in light-driven energy conversion and environmental sensing. Ancestral protein resurrection thus provides a tangible bridge connecting molecular structure, evolution, and ecological function.

The research was supported by the Japan Society for the Promotion of Science and involved meticulous data analysis strategies, combining phylogenetics, structural biology, and bioinformatics. It underscores the multidisciplinary nature of modern biological discovery, illustrating that resolving complex biological problems often requires integrating diverse scientific perspectives and technologies.

Ultimately, this powerful approach reinvigorates the field of ancestral protein research by not only surmounting critical technical obstacles but also by delivering concrete functional data that validate hypotheses about ancient protein behavior. The availability of the ConsistASR workflow to the broader scientific community encourages collaborative exploration of protein evolution and engineering, heralding a new era of experimentally validated molecular paleobiology.

Subject of Research:
Not applicable

Article Title:
Resurrecting Full-length Ancestral Schizorhodopsins and Heliorhodopsins with Structure-guided, Indel-aware Sequence Reconstruction

News Publication Date:
8-Jun-2026

Web References:
https://doi.org/10.1021/acsomega.6c03010

Image Credits:
Haruto Ishikawa

Keywords:
Molecular biology, Biomolecules, Amino acids, Biomolecular structure, Domain organization, Bacterial proteins, Ancient proteins, Membrane proteins, Extracellular domains

In a groundbreaking development that promises to revolutionize the way artificial intelligence perceives the world, a collaborative research team from KAIST, MIT, and Microsoft has unveiled a novel technology named “Upsample Anything.” This pioneering innovation substantially enhances the visual acuity of AI systems while drastically reducing the memory demand on hardware, specifically GPU memory. The new method achieves up to a sixteenfold increase in memory efficiency, addressing one of the most critical bottlenecks in real-time AI vision applications for mobile and embedded devices.

The cornerstone of this advancement lies in overcoming the traditional compromise faced by AI-driven image processing systems. Historically, achieving higher resolution visual input required extensive GPU memory and computational power, creating a significant barrier to real-time implementation on resource-constrained devices such as smartphones and humanoid robots. Conversely, compressing images into low-resolution features, which is a common practice to conserve resources, often leads to the loss of crucial visual details like small objects and fine structural elements. This trade-off has long hindered the deployment of precise AI vision in dynamic and mobile environments.

The “Upsample Anything” technology ingeniously sidesteps this issue by introducing a training-free upsampling mechanism capable of reconstructing high-resolution features from low-resolution inputs without additional data training. Unlike conventional methods that necessitate retraining or complex optimization when exposed to new data or environmental conditions, this approach adapts instantly by leveraging the edge and structural information inherent within a single input image. This capability drastically simplifies deployment and customization across diverse AI vision applications.

At the heart of the method is a sophisticated process called test-time optimization (TTO), which refines pixel-wise anisotropic kernel parameters based on the specific low-resolution image. These learned kernels are then applied to foundational feature maps to generate high-resolution representations. The final phase involves pixel-wise anisotropic Joint Bilateral Upsampling, a technique that preserves edge details and texture fidelity while reconstructing the image in high resolution. This multi-stage pipeline ensures that essential visual information is restored with remarkable accuracy and efficiency.

Highlighted through an illustrative example, the research team demonstrated the restoration of a 224×224 pixel image— a common resolution in AI research— to a clarity nearly identical to the original, within approximately 0.4 seconds of computation. This substantial leap in processing speed and memory efficiency heralds a new era for real-time AI vision, where systems can now maintain high precision without the prohibitive cost of extensive hardware resources. The direct implication is that AI can better understand and interact with its environment, making it invaluable for applications requiring fine object detection and manipulation.

The utility of “Upsample Anything” stretches far beyond humanoid robots. Autonomous driving systems stand to benefit immensely, as they depend heavily on the rapid and accurate interpretation of complex visual scenes. With this technology, vehicles can process crucial visual cues in a more resource-efficient manner, enhancing safety and navigation capabilities. Additionally, on-device AI for smartphones and other portable gadgets can achieve superior visual comprehension while minimizing battery drain and thermal load— critical factors for consumer electronics.

The research team’s achievement was officially recognized at CVPR 2026, the most prestigious conference dedicated to computer vision and artificial intelligence. The work earned the “CVPR Compute Gold Star” award, a distinction granted to research that excels in computational efficiency. Furthermore, it was named the “Transparency Champion” for leading in research process transparency and reproducibility, emphasizing the team’s commitment to responsible and open scientific practices. This dual recognition highlights not only the technological ingenuity but also the ethical and procedural rigor of the research.

One of the most remarkable attributes of this technology is its universality and plug-and-play nature. Its training-free design means that no additional datasets or retraining cycles are required when deploying it in different settings. This contrasts sharply with existing upsampling methods that often demand labor-intensive tuning or environment-specific learning. Consequently, “Upsample Anything” can seamlessly integrate into a wide array of AI frameworks, simplifying engineering workflows and accelerating the timeline from development to deployment.

Professor Changick Kim, the project lead from KAIST’s School of Electrical Engineering, emphasized the transformative potential of this technology. He noted that by boosting visual precision with minimal resource demands, the algorithm can catalyze the commercial viability of complex AI entities like humanoid robots and enable more powerful on-device AI applications. The convergence of computational efficiency and high visual fidelity, he added, represents a critical step forward in the quest to bring sophisticated AI capabilities to everyday devices.

This advancement is particularly significant in the context of emerging AI models based on world models— frameworks that aim to understand and predict changes in physical environments. Effective deployment of such models often requires processing a large volume of visual data accurately and expediently. By enabling high-resolution feature upsampling without overwhelming hardware limitations, “Upsample Anything” paves the way for smarter, faster, and more adaptive AI models that truly comprehend their surroundings in detail.

The first author of the study, Minseok Seo, a doctoral student at KAIST, alongside co-authors from MIT and Microsoft, detailed their findings in a paper titled “Upsample Anything: A Simple and Hard to Beat Baseline for Feature Upsampling.” The work is publicly accessible via the arXiv repository (DOI: 10.48550/arXiv.2511.16301), facilitating further exploration and innovation by the wider research community. Their approach exemplifies a blend of elegance and practicality, challenging the assumption that high computational cost is a prerequisite for high-quality visual reconstruction in AI.

In conclusion, the “Upsample Anything” technology marks a significant leap in AI visual processing by resolving a longstanding dilemma between image resolution and hardware resource constraints. Its immediate applicability across various AI-driven fields— ranging from robotics to autonomous systems and portable devices— underscores its impact and longevity. As AI continues to entwine itself with daily human interaction and technological progress, innovations like this will form the backbone of smarter, more capable, and accessible intelligent systems.

Subject of Research: Not applicable

Article Title: Upsample Anything: A Simple and Hard to Beat Baseline for Feature Upsampling

News Publication Date: 17-June-2026

Web References: https://dx.doi.org/10.48550/arXiv.2511.16301

References: Upsample Anything: A Simple and Hard to Beat Baseline for Feature Upsampling, DOI:10.48550/arXiv.2511.16301 (Seo et al., 2026)

Image Credits: KAIST

Keywords

AI vision, upsampling technology, GPU memory efficiency, real-time image processing, test-time optimization, pixel-wise anisotropic kernels, Joint Bilateral Upsampling, on-device AI, humanoid robots, autonomous driving, world models, computer vision, computational efficiency

As NASA prepares for humanity’s return to the Moon, researchers at Texas A&M University are exploring how the same material could become a key building block for the first permanent settlements beyond Earth.

The Moon’s surface is surprisingly unlike anything we would consider soil on Earth. Instead, it is covered by a fine powder of pulverized rock and jagged glass that slips into every gap, grinds through seals and gaskets, and exists in a vacuum exposed to intense radiation and extreme temperature swings capable of bending steel. Yet researchers at Texas A&M University see opportunity rather than obstacles in this harsh environment.

Scientists refer to this material as lunar regolith, and it is considered one of the greatest challenges to long-term human habitation beyond Earth.

As NASA advances plans for a permanent human presence on the Moon through its Lunar Innovation Park initiative, Texas A&M researchers are developing technologies designed to transform the lunar surface into a foundation for future settlements.

“We are moving past the era of ‘flags and footprints,’” said Dr. Patrick Suermann, professor of construction science and retired U.S. Air Force lieutenant colonel in a statement. “We have to stop thinking like explorers and start thinking like settlers.”

Money as a Hurdle 

Arguably, the greatest challenge facing lunar construction may not be engineering, but cost. Transporting materials from Earth remains extraordinarily expensive, with estimates ranging from roughly $1 million to $1.3 million per kilogram delivered to the Moon. As a result, researchers are increasingly focused on utilizing resources already available on the lunar surface rather than transporting materials from Earth.

“The future depends on building infrastructure from resources already on the moon,” explained Suermann.

“The high cost of shipping to the moon is the million-dollar problem,” Suermann said. “Every time you can cut the mass of a payload, you save a fortune. That’s why the future depends on building infrastructure from resources already on the moon.”

Helping advance that vision is Dr. Robert Ambrose of the Texas A&M Space Institute, located near NASA’s Johnson Space Center in Houston. The institute has received $200 million in support from the Texas Legislature.

“One of the most exciting features of the 240-acre facility is it’s two-and-a-half acre testing areas: one replicating the surface of the moon, the other Mars,” says Suermann.

These facilities allow researchers to evaluate robotic systems, autonomous vehicles, and construction technologies under conditions similar to those expected during future lunar and Martian missions.

Meanwhile, the university’s Construction Automation, Safety and Education (CASE) Lab is exploring how humans and machines can collaborate in extreme environments. Led by Dr. Gilles Albeaino, the lab focuses on mixed-reality technologies and semi-autonomous robotic systems capable of performing construction tasks on the Moon.

“On the moon, construction operations will depend on semi-autonomous robotic systems,” Suermann said. “The CASE lab is leading research into how humans and machines can work together in environments where humans can’t safely do everything themselves.”

“Every tool matters. Every ounce of material you ship matters,” added Suermann. “So, the question becomes: how do you use the environment itself as your supply chain, and how can you augment machines to become your partner in austere environments?”

Arctic to Afghanistan

Suermann’s experience combines two worlds: military service and construction science. Before joining Texas A&M in 2017, he served in the U.S. Air Force, deploying to remote locations that included Afghanistan, Guam, and Greenland.

Those experiences operating in challenging and isolated environments continue to inform his thinking about future lunar settlements.

“My experiences in serving the U.S. Air Force were formative and transformative,” Suermann said. “It taught me a great deal about construction, and that what can go wrong will go wrong.”

It shows, to me, that lunar regolith isn’t too dissimilar from the terrain we have here on Earth,” Suermann adds. “At the end of the day, construction is construction.”

Should We Develop on the Moon?

The broader question remains whether humanity should be expanding its footprint beyond Earth at all. While plans for lunar settlements continue to advance, critics point out that many environmental, political, and social challenges remain unresolved here at home.

As governments and private companies invest billions into space infrastructure, some argue that humanity must carefully consider how development beyond Earth aligns with priorities on our own planet. Others contend that technologies developed for lunar habitation could ultimately provide benefits back on Earth, helping address challenges ranging from resource management to sustainability.

Chrissy Newton is a PR professional and founder of VOCAB Communications. She hosts the Rebelliously Curious podcast, which can be found on The Debrief’s YouTube Channel. Follow her on X: @ChrissyNewton and at chrissynewton.com.

This heavy equipment operator put seven, 20-ton battery electric wheel loaders and dozers from Chinese equipment brand XCMG to work for combined 17,370 (!) hours last year, and realized an “astonishing” cost savings.

The new Battery Electric Power Unit (BEPU) from Caterpillar is a plug-and-play solution that can directly replace a diesel CAT engine in existing machines – occupying the same space, and even using the same motor mounts to make the conversion from diesel to electric (almost) as easy as swapping an engine.

Designed to work in tight, noise-sensitive environments while carrying up to 500 kg (~1,100 lbs.) for a full shift, the Ecovolve EL500 is a uniquely competent and capable electric equipment option that can make it through a conventional man door – and Brokk is bringing it to America.

Volvo CE and Hitachi Energy have signed an MOU to support and accelerate the deployment of battery electric construction equipment powered by a clean, renewable energy supply that’s backed by intelligent energy storage and management.

Fortescue‘s recently-acquired turbine subsidiary Nabrawind has done something that was believed to be impossible: they’ve installed a full-scale, energy producing wind turbine in harsh Namibian conditions using a new, crane-less deployment process.