largest

China says it has built its largest data center. And confirms that your problem is precisely in the chips

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China has just turned on its new technological pride in Shenzhen: an AI cluster with 14,000 petaflops built entirely with Huawei Ascend 910C chips. the city has presented it as the first scale computing center with 10,000 cards with completely national technology. It is an undeniable milestone, but if we give it context, an alarm signal and a dose of reality. Why is it important. The Shenzhen cluster, with all its rhetoric of technological sovereignty, represents about 1% of the capacity of the largest US data center in operation today. In other words: China has built, with great institutional effort, what OpenAI already had available to train GPT-4 in 2022. The gap is not a question of ambition (China has it) or capital (it also has it) or energy (of course, he also has it). It’s a chip issue. What are they capable of manufacturing and in what volume today. Between the lines. The Shenzhen government statement highlights energy efficiency metrics and occupancy rates of 92%. It’s really good data. But the selection of indicators (the cherry picking) says a lot so it is omitted: there are no direct comparisons with the clusters of NVIDIA H100 that colonize the data centers of Microsoft, Google or Amazon. Posting only what you have is also a way of not publishing what you lack. The context. At this point no one doubts that China does not lack electricity, not even engineersnor money to build large-scale AI infrastructure. What is still missing, despite the advances, are the chips. Export restrictions imposed by Trump They have cut off access to advanced semiconductors from NVIDIA and TSMCand that has forced China to accelerate its own ecosystem. Huawei has responded with the Ascend 910Ca capable chip but that still has performance limitations and, above all, volume production. If wafers were not in short supply, this data center would be a hundred times larger. Yes, but. Can China close that four-year gap before it gets even bigger? The answer depends almost entirely on how much its domestic semiconductor industry manages to scale, and whether or not Western sanctions manage to stifle that process. At the moment, in Shenzhen they are celebrating an achievement as undeniable as it turns out that in the eyes of Silicon Valley they are still in 2022. Featured image | Huawei In Xataka | Memory prices have started to fall in some markets. There is still a long way to go to close the AI ​​crisis

the largest startup incubator in the world

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In recent years, NVIDIA has gone from being a company gaming hardware who was doing interesting things in the field of artificial intelligence to being, directly, the glue of the entire AI industry. And it has achieved this through graphic muscle, but also thanks to deep pockets and a very clear vision: to become the largest AI incubator in the world. Although, for some, there has been become an awkward partner. You can’t talk about AI without talking about NVIDIA, but along the way it has achieved something else: turning its main allies into rivals. NVentures. A few years ago, Jensen Huanghead of NVIDIA, realized something: the AI ​​had to be from NVIDIA or it wouldn’t belong to anyone. The CEO identified the need to become an investor, but also the technical support point for startups that were beginning to buy many of his chips for AI training. Years before, NVIDIA had Inception, a branch focused on non-financial support, but in 2022 it launched NVentures. It is the corporate venture capital arm of the company and was born at the dawn of the generative AI that we know today. In fact, it was launched a few months before ChatGPT public releasewhich was precisely the one that popularized the massive use of NVIDIA GPUs to train large-scale models. If with Inception more than 19,000 AI startups went through the advisory program (with training, cloud credits and discounts on massive GPU purchases, but without direct investment), with NVentures things also escalated quickly. From a direct investment in 2022 they passed to 30 in 2023, 54 in 2024 and 67 in 2025. Some are larger than others, but all are investments of tens of millions of dollars that have served to boost the current ecosystem in a kind of circular economy. Do you think I’m a bank? In this article of TechCruch investments are laid out perfectly and separated into “clubs.” There is the 100 million with companies like Ayar Labs, Hippocratic AI, Kore.ai or Runway that have received more than 100 million dollars. That of hundreds of millions with Cohere, Commonwealth Fusion, Perplexity, Lambda or Black Forest Labs as exponents. And then the billion dollar club. In that bag are the big names such as Cursor, xAI, the French Mistral, Reflection AI, Thinking Machines Lab, Figure AI or Scale AI. Also two uncomfortable partners: OpenAI and Anthropic. The relationship between OpenAI and NVIDIA has been long and symbiotic. Both have helped each other put themselves on the map of generative AI, but NVIDIA is going to cut off the tap. Recently, Huang himself commented that they will put 30 billion in OpenAI, or… and that the two mega-operations will probably be the last. The two companies are expected to go public later this year, so they will have to start fending for themselves. Business turnaround. That does not mean that NVIDIA is going to stop injecting money, it simply implies that they are going to allocate that money to be in more places at the same time. Instead of such large amounts, more financing for more “modest” companies in models, software, infrastructure, robotics, cloud and even autonomous driving and biotechnology to continue expanding the network of companies that scale on their platform. In fact, this investment in small companies that are beginning to grow is very lucrative. An example is the Reflection funding round. Of the 2 billion that the company raised, 800 million came from NVIDIA’s pockets, and much of that money, along with interest, will flow back into his pockets. NVIDIA is so important that the company points out that “when you talk to it, you are talking to NVIDIA.” That dependence on NVIDIA is what makes the company an uncomfortable partner because it has enormous power. Inference. But the other turn is not so much from NVIDIA as from the industry itself. These last few years we have focused on training. More and more powerful chips to power increasingly fat data centers in which increasingly capable models are trained. However, once trained, the model must be useful for something, and that is where inference comes into play. Because it is estimated that the big growth of the future of AI will not be so much training the next ChatGPT, but the ability to manage billions of AI requests cheaply and efficiently. This implies that there must be more specialized chips with different architectures than a classic training GPU. The analysts are already pointing that the speed at which the need for inference increases is faster than expected. From lovers to enemies. and there other companies come into play. On the one hand, classic rivals such as Huawei with equipment both for training and for inference. Also a AMD that is gaining contacts like Samsung to create training GPUs and inference CPUs. Intel, Amazon and Google also have their own chips. But NVIDIA’s biggest customers don’t want NVIDIA to dictate their future. OpenAI is working with Broadcom to develop its own chips that may be focused on that inference and both Tesla and xAI (now part of SpaceX) also They have taken the same path. The two companies have needed NVIDIA until now, but they do not want to depend on it for an inference where there may be more profit margin. Because the idea is to create chips that are very specialized in request management to lower the cost of AI as much as possible. China is an example of this. The country’s big technology companies and startups have focused on one thing: training specialized models and making inference so cheap that the user doesn’t mind paying. There is already someone point that 80% of the cost of AI in the short term will be inference, and solutions are needed. The ace in the hole. But if almost all allies have been preparing their deck for some time to stop depending on NVIDIA’s cards, NVIDIA has also been doing the math and keeping the ace up its sleeve. … Read more

We thought the marathon was heartbreaking. The largest medical follow-up to date has just settled the debate

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When an amateur runner crosses the finish line after 42 kilometers, his body is on the limit, and so is his heart. This is something that can be seen in a simple analysis where it is seen how the levels of troponin T, one of the warning markers of a heart attack, and evident fatigue in the right ventricle. But in this case the question is obvious: Can doing a marathon kill us? The answer It’s no. This has been demonstrated by an exhaustive study published at the end of 2025 in JAMA Cardiology, which has pointed out that, despite the extreme stress on the heart in the short term, amateur marathon running does not cause long-term cardiac damage. To understand the magnitude of this discovery, we must return to the origin of fear and here recent works, such as those published in Frontiers in Physiology or studies on ultramarathon runners, have documented repeatedly what happens immediately after the race. What has been done. Logically, the effort of doing a marathon at a high level of effort induces morphological and biochemical ventricular changes. The heart here is subjected to a great overload of volume and pressure, releasing proteins that in a patient at rest in the emergency room would set off all the alarms for a possible heart attack. But to draw conclusions, the research has followed the same runners for ten years. The Be-MaGIC project. With this premise, the investigation was not born yesterday, but rather the team took advantage of the historical cohort of this project that originated in the 2009 Munich marathon. In this way, the researchers decided to follow 152 amateur male runners with an initial average age of 43 years. In this way, participants were evaluated before the marathon, after crossing the finish line, one day after, three days after and finally ten years later. To do this, state-of-the-art 3D echocardiography was used and also the analysis of cardiac biomarkers to determine how the ventricles function, which are ultimately the main pumps of the heart. The results. After all these years, studies indicated that, after completing the race, all cardiac function began to be greatly altered with increases in cardiac biomarkers. But this is something that was resolved in the following days until he reached the age of 10 with a completely perfect heart. No scarring of heart tissue, no premature heart failure. Everything is normal, despite the fact that after the race the stress to which he has been subjected is very high and can cause concern. What does this mean? The scientific study confirms that the human heart is an extraordinarily elastic machine. Here, right ventricular dysfunction and troponin release after running 42 kilometers should be interpreted as a transient physiological response to extreme exercise and not as permanent pathological damage. Of course, this doesn’t mean that marathon running is without acute risks, especially for people with underlying or undiagnosed heart conditions. However, for the average amateur runner who trains properly, the science is clear: crossing that finish line will exhaust your body, but it won’t mortgage the future of your heart. Images | Miguel Amutio Kenny Eliason In Xataka | Walking very fast seems the most effective way to lose fat: science knows that the key is to do it with an incline

Science finally shows that they hunted the largest beasts of their time

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The classic image of neanderthal as a brute hominid with no intelligence and that barely survived by scavenging what other predators left behind, it is increasingly being left behind as we make new discoveries. Precisely, we now know that 125,000 years ago, our evolutionary cousins They were Europe’s apex predators, capable of organizing to take down the most formidable land creature of their time: the straight-tusked elephant. A beast that doubled the size of today’s African elephants and reached 13 tons in weight. The mystery of the spear. To reach this conclusion we have not traveled back in time, but rather we have gone to Leringen in Germany. Here in 1948 archaeologists found a skeleton of the straight-tusked elephant, with a 2.4 meter yew spear stuck between the ribs. A priori it seemed like the definitive proof or, as some anthropologists have called it, the smoking gun of Neanderthal hunting. However, scientific skepticism prevailed: was it a coordinated attack or did a group of opportunistic Neanderthals find an elephant trapped in the mud and finish it off? This is where a great debate has been generated that has now been closed in 2026 with the publication of a new scientific article. What have they done? Here the researchers have basically focused on the skeletal remains of the animal that was found, and the objective was to find the details of the hunting process. What they saw was that the cut marks and damage to the bones did not correspond to a simple opportunistic shot, but to a frontal and tactical attack. In this way, experts point out that the Lehringen spear is no longer an anomaly or a happy coincidence, but rather irrefutable proof of systematic hunting behavior. The context. In addition to what has now been known, in the past researchers demonstrated that the hunt for these titans was not an isolated event, but rather a systematic and recurring practice. The problem that was seen is that shooting down a 13-ton elephant raises the obvious question: what do you do with so much meat before it rots? This is where the classic perception of the Neanderthal falls apart. An elephant of that size provided enough calories to feed 100 people for a month, and processing that amount of meat and fat required three basic points: Groups of people larger than previously believed, which break with the idea of ​​small nomadic bands of 20 individuals. Settle in a specific area when you have plenty of food. Master fire and techniques, such as drying meat so that it can last for a long time. A new image. With all this research, the truth is that the textbooks have to be rewritten, since you can see how Neanderthals had the cognitive ability to plan, the communication necessary to coordinate mass ambushes, and the social structure to process and store tons of food. Images | Wikipedia Generation with AI In Xataka | The great mystery of sex between Neanderthals and Sapiens: genetics suggest that Neanderthal males preferred human women

China has just discovered the largest deposit of rare earths in the world. And he did it just when he needed it most.

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China has a privileged position in terms of possession of rare earthbut it has just surprised the world with a new discovery: the Ministry of Natural Resources has confirmed that the Maoniuping deposit, in Sichuan province, is now the largest deposit of light rare earths on the planet. The news comes at a key moment, since it is these minerals that are the protagonists one of the hottest fronts between Beijing and Washington in their tariff war. What exactly has been found. New exploration in the Maoniuping mining area in Mianning county has confirmed the existence of 9.67 million tons of rare earth oxideswhich represents an increase of more than 300% compared to the reserves that were known until now, as announced by the Chinese Ministry of Natural Resources. With this data, the deposit surpasses that of Bayan Obo, in Inner Mongolia, which until now held the title of the largest light rare earth mine in the world with 44 million tons of proven industrial reserves. In addition to rare earth oxides, surveys have identified 27.1 million tons of fluorspar and 37.2 million tons of barite, both classified as deposits of exceptional scale. Why does it matter? Rare earth elements are the 17 elements that make electric car engines, fiber optic amplifiers, advanced weapons systems and smartphones possible, among many other technological elements that we use in our daily lives. Without them, much of the technology and defense industry simply does not work. China already produces more than 80% of the world supply annual of these materials, according to the state agency Xinhua. And this discovery further reinforces China’s position until now. The discovery within the discovery. According to Wang Denghong, director of the Institute of Mineral Resources of the Chinese Academy of Geological Sciences, what is truly striking about the discovery is not only the rare earths but fluorite and barite. Fluorite is an essential ingredient in the manufacturing of semiconductors and lithium-ion batteries. Barite, for its part, is essential in oil and gas extraction: it is used to stabilize wells and prevent blowouts. Without this element, hydrocarbon exploration, including fracking, would be paralyzed. Restrictions. Since April last year, China introduced export restrictions on seven rare earths and permanent magnets, precisely in response to the tariffs imposed by Donald Trump about Chinese products. China controls the gateway to rare earths, and basically any company that wants to take these materials out of the country needs express government authorization. Exports to Europe have picked up since the new licensing regime was implemented. Those going to the United States remain stagnant, according to collect Interesting Engineering. What’s coming now. With this discovery, Beijing consolidates its ability to use critical minerals as diplomatic and commercial leverage. The West has been trying for years diversify your supply chains of rare earths with projects in Australia, Canada or northern Europe, but none yet approach the scale of the Asian country. Cover image | aboodi vesakaran and ZME Science In Xataka | In 2010, Japan learned to acquire its rare earths without depending on China. Germany wants to copy its strategy now

The demand for AI memories is suffocating mobile manufacturers. The largest Chinese chip producer is going to take advantage of it

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SMIC (Semiconductor Manufacturing International Corp) is the largest Chinese semiconductor manufacturer with a global market share of about 5%. This company is the best asset that Xi Jinping’s Government currently has to sustain China’s technological development. Hua Hong Semiconductor and SMES (Semiconductor Manufacturing Electronics Shaoxing) are also two very important chip manufacturers, but the true spearhead of this gigantic Asian country in this industry is SMIC. This company is partially public and has, as expected, the support of the Chinese Government. In fact, The Administration is investing a lot of money in their chip manufacturers. SMIC and the other Chinese chip producers do not have extreme ultraviolet photolithography (UVE), which are the most sophisticated that exist, but they do have the Twinscan NXT:2000i deep ultraviolet (UVP) equipment manufactured by the Dutch company ASML. These machines have not been designed to develop integrated circuits comparable to the most advanced ones currently manufactured by TSMC, Intel or Samsung, which is why the competitiveness of Chinese semiconductor manufacturers has suffered. Even so, SMIC has a plan to continue growing despite the impact that US sanctions are having on its business. And, according to SCMPis going to launch it now to take advantage of the bad times that manufacturers of smartphones and other consumer electronics devices are having. In March 2026. The memory supercycle for AI has put mobile phones on the ropes The DRAM memory industry is facing a profound structural transformation. The three largest chip manufacturers of memory on the planet, the South Korean companies SK Hynix and Samsung Electronics, and the American Micron Technology, They have reallocated about 70% of its production lines to high-bandwidth memories (HBM) to satisfy the currently insatiable demand of data centers specialized in artificial intelligence (AI). The current situation has triggered the birth of a supercycle in the memory market This situation has triggered the birth of a supercycle in the memory market, which is, simply, a presumably prolonged period of time during which the demand for a certain product far exceeds the offer. This scenario causes prices to skyrocket. In fact, that is what is currently happening with memory chips. And the big losers at the moment are the manufacturers of smartphones and other consumer electronics devices. This circumstance is precisely what SMIC wants to take advantage of to grow. And it plans to do so by trying to capture the entire low- and mid-range chip market that is being neglected. SK Hynix, Micron Technology and Samsung are focusing on the production of HBM integrated circuits because they leave them with a much higher profit margin than other memory technologies. SMIC cannot manufacture chips using cutting-edge photolithography beyond 7nmbut you don’t need them. Its current integration technologies are sufficient to manufacture the microcontrollers and memory chips demanded by mobile phone manufacturers. Image | Generated by Xataka with Gemini More information | SCMP In Xataka | We can forget about AI without hallucinations for now. NVIDIA CEO explains why

Satellite images have revealed the location of Russia’s largest warship, and that means Ukraine can see it too

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During the Second World War there was a announcement to sailors of future conflicts: some of the largest ships ever built were destroyed without having barely entered combat, becoming symbols of how vulnerable even the most advanced weaponry can be. Decades later, with the advent of commercial satellites and precision weapons, that exposure is even greater. Few doubts from space. The latest images satellites show a reality that is difficult to ignore: Russia is about to complete his largest warship in the Black Sea. The superstructure is practically complete, the flight deck is now fully identifiable and the work is advancing towards its final phase with key elements almost ready. However, this same monitoring from space also reveals the another side of the projectsince the ship remains motionless in a shipyard located within the reach of the ukrainian attack systemsmaking each advancement a race against time where finishing it is only half the challenge. Global ambition. He Ivan Rogov represents much more than a new ship for the Russian fleet, since it is conceived as a projection platform of force capable of operating far from its coasts and sustaining complex operations. With the capacity to transport hundreds of marines, military vehicles and an air wing of attack and transport helicopters, the ship fits into the category of large amphibious ships used by Western powers. Its size, greater than 200 meters, would make it in the greatest asset of the Russian fleet in the Black Sea, which reinforces its not only military, but also symbolic value within Moscow’s strategy. Born from failure. The existence by Ivan Rogov is directly linked to an earlier strategic setback, when Russia attempted to acquire Mistral-class amphibious ships from France and the deal was canceled after the annexation of Crimea in 2014. From then on, Moscow was forced to develop your own designgiving rise to project 23900which combines its own technology with knowledge partially acquired during that failed contract. This context explains why the ship has a special weight within Russian military planning, since it symbolizes both the need for industrial autonomy and the ability to move forward despite sanctions and technological limitations. Protected, but not untouchable. The ship is being built in the Zaliv shipyardin Crimea, a facility that Russia has reinforced with multiple layers of protection to reduce the risk of attacks. Physical barriers, networks against naval drones and security measures have been deployed at the access to the dam, in addition to indirectly benefiting from the air defense that protects nearby strategic infrastructures such as the Kerch bridge. However, these measures do not guarantee invulnerability, since Ukraine has shown repeatedly its ability to attack targets in depth and degrade defensive systems, keeping the shipyard within a risk zone constant. Investment under threat. Russia has maintained the project despite economic difficulties, sanctions and pressure derived from the war, which implies a huge investment of around of 1,200 million of dollars and a sustained commitment of industrial resources. This effort reflects the strategic importance that Moscow attributes to the ship, but also increases the associated risk, since the loss of the Ivan Rogov would mean not only a military setback, but also a economic and reputational blow significant. In other words, the project has become a high-risk bet for Russia where success or failure will have an impact that goes beyond the ship itself. The real change. Beyond of the specific destination of the warship, what the case reveals is a deeper change in the nature of modern warfare, one where the military industry ceases to be a safe space in the rear and becomes on a direct target. In that sense, Ukraine does not need to confront an entire fleet to weaken Russia, but can instead focus at critical points such as shipyards, energy infrastructure or supply chains, affecting production capacity before systems even enter combat. In short, the displacement of the conflict towards the industrial base alters traditional rules and demonstrates that, in the current context, a weapon can be destroyed long before it has the opportunity to be used. Image | x In Xataka | With the arrival of good weather in Ukraine, Russia thought it was a good idea to bring out its hidden tanks. It wasn’t at all In Xataka | An exoskeleton worthy of ‘Alien’ or ‘Death Stranding’: the war in Ukraine is bringing the future sooner than expected

the largest purchase in its history in one of the worst moments

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It has taken a while, but finally Renfe has given the green light to the purchase of new AVE for use in Spain. The Board of Directors of the operator has made it officialin what has been the largest purchase of high-speed rolling stock in its history. Below all the details. What has happened. The Minister of Transport, Óscar Puente, announced this Wednesday in the Congress of Deputies that Renfe has approved the tender to acquire 30 new high-speed trains for an amount of 1,362 million euros. The operation, which according to El País It exceeds in size the purchase of 30 Talgo Avril units made between 2015 and 2016, and also includes an extension clause that would allow the order to be increased to 40 trains, with a total investment that would be close to 1,777 million. Why is it coming now? The tender was scheduled for February, but the Adamuz accident in January, in which 46 people lost their lives, forced Renfe to postpone the decision. That accident, in which an Alvia was involved on the Madrid-Seville line, fired alarms about network status and the age of part of the fleet. And the crisis of accumulated incidents in the Spanish railway system has accelerated the need to renew the train fleet. In detail. The new convoys will be designed to travel at 350 km/h, although reaching that speed will require prior infrastructure works. Adif plans to begin the renovation of the Madrid-Barcelona line this year, where the change of sleepers will allow the current limit of 300 km/h to be exceeded. Each train must have a minimum capacity of 450 seats in two classes, and include accessible spaces for people with reduced mobility, bicycle areas and restaurant services. Technically, the trains will operate in standard UIC gauge (1,435 mm) and must be equipped with the ERTMS/ETCS and ASFA signaling systems. The deadlines. The contract demands that the first five trains will be available within 40 months of signing, and that the entire fleet will be delivered within 78 months. The agreed supply rate is one new train approximately every 45 days. The contract has a total duration of six years and also includes the corresponding spare parts. Who can win the contract. The main candidates are Siemens, with its Velaro Novo model, and Hitachi Rail, with the ETR 1000 (the same train that Iryo operates and that was involved in the Adamuz accident, although the investigation points to a failure in the infrastructure as a probable cause). Also have been visited by Minister Puente and the president of Renfe, Álvaro Fernández Heredia, the facilities of the Chinese firm CRRC and the Spanish plants of Talgo, CAF and Alstom. And now what. The arrival of these trains comes with the intention of providing a response to demand growth of the AVE during the next decade. And for this there are several challenges ahead: that the infrastructure is ready to take advantage of the 350 km/h and ensure that delivery times are met. On the other hand, the operator needs regain traveler trustand this purchase seems one of the first steps to make it possible. It remains to be seen who gets the contract. Cover image | Wikipedia In Xataka | Two floors, 200 meters long and one objective: to modernize the most used and chaotic Cercanías line in Spain

The largest data centers on the planet are guarded by dogs. By robot dogs

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The deployment of data centers to train the artificial intelligence It is a sign of technological power, but also economic power. This year alone, the big Americans are going to let themselves more money than NASA invested to take man to the Moon. More than $670 billion between Meta, Amazon, Microsoft and Google to create gigantic data centers. And within that investment, an important part is in safety with dogs. With robot dogs, specifically. It is the culmination of science fiction dystopia. In short. In the age of AI, data centers are the holy grail. We are continually seeing how companies sign contracts for thousands of million dollars with NVIDIA either amd (especially with NVIDIA) to provide them with the platforms with which to train their models. It’s only part of the equation, as there is another monumental investment in power, storage, RAM, dissipation and everything necessary to make these small cities work. Within the investment, there is security, and in BI They have published a report in which they detail that, within the budget, there are companies that are already including spending on robots that patrol both the perimeter and the internal corridors. The goal is security in every sense: patrol to detect threats, but also to identify any problems that occur with the equipment before they escalate and become something more serious. brand dogs. In the report, two companies are pointed out: Boston Dynamics and its dog Spot (with which we were able to play a few years ago) and Ghost Robotics with your Vision 60. Since Boston Dynamicsthe company owned by hyundai For a few years now, they have told the American media that they have been visiting data centers for some time because there is great interest. “We have seen an increase in interest in data centers in the last year, which is probably not surprising given the investment in that space,” Merry Frayne, the company’s senior director of product management, tells the outlet. For these companies, it is tremendous advertising, but also a potential customer in a “new” sector. Because it is possible that the police do not have the budget to get hold of many, but within the billions that are invested in data centers, dogs are just another sheet in the accounting excel. You can mount the sensor you want ‘Patrolling the center. And what is your task? Well… quite a task, really. The representative of Boston Dynamics, and other operators, point out that the dogs are not limited to acting as a “mobile surveillance camera”, but have other tasks: Patrol exterior perimeters to ensure that there are no problems with fences and accesses. Walk through server rooms, cooling rooms, and power rooms to look for anomalies such as water leaks, hot spots that may indicate a short circuit, or accumulations of moisture. Also sensors to detect gases, microphones to analyze noise and, ultimately, the sensor you want to put on it. Capture visual data from everything, such as analog pressure gauges or level indicators. Constantly, and as some robot vacuum cleaners do, map with LiDAR as they pass to see that there are no elements out of place. Some specific centers in which they are already being tested are Novva Data Centers in Utah or Oracle at the Industry Lab in Chicago. And dogs, in addition to cameras, have all kinds of thermal sensors and even conversational interfaces based on models like ChatGPT to interact with people. Measurement of noise levels Object identification Thermal sensors Compensate. It’s really nothing new. We have already seen robot dogs in other industrial sectors such as oil, mining or manufacturing. security forces. In China, in fact, there are deploying to assist firefighters in extreme situations or in institutesbut if in those scenarios they are seen as a tool, here they seem more like a substitute. Because there are those who have done the math and, in a market like the American one, a couple of full-time human guards can cost about $300,000 annually. The initial cost of a Spot ranges from $175,000 to $300,000, depending on the equipment. The cost of a Vision 60 is $165,000. And, as we see, they do much more than a security guard by being full of sensors. Frayne says, “Clients typically start to see a payback on their investment in about 18 months.” Michael Subhan, business director at Ghost Robotics, comments that “instead of having two human guards for $300,000, you can have one human guard and one robot.” A Spots battery charging. And it’s better, since it lasts less than two hours with the standard battery They also get tired. These robots also have their needs. They need to change batteries and install charging points and the environment must be well structured so that the routes are efficient and the sensors such as the LiDAR work well. They can climb stairs and avoid obstacles, but performance suffers in other environments and, in addition, the placement of fixed cameras and sensors in the building must be planned. That is to say, it seems that it is not as easy as saying “I build the center however I want, buy four robodogs and it will work”, but rather that you have to plan the traditional elements and the dogs to achieve a good integration. who are you HUGE Market. Although we have discussed two specific cases in which these robo-guardian dogs are being tested, both Boston Dynamics and Ghost Robotics have not gone into more details. In the end, it is security, and this falls within confidentiality agreements. Boston Dynamics points out that it is an “emerging market.” And Subhan has mentioned that “in the United States alone there are 5,000 data centers and 800 to 1,000 are currently being built, so we see it as a great market for us.” According to some estimatesthe market for robot dogs and industrial drones is currently around 500,000 units, but is expected to double by 2030, generating a market of 21 billion … Read more

build the largest drone industry without China’s help

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A modified commercial drone can cost less than a mid-range mobile phone and still be able to destroy armored vehicles valued in millions. Hence, in recent conflicts, these systems are being lost at such a rate that their production is closer to an industrial logic than to the traditional manufacture of weapons itself. Ukraine has now taken another leap. Being autonomous in the middle of war. Yes, I counted a few days ago the new york times that Ukraine has achieved a relevant milestone in its military industry, and it has done so by developing drones capable of operating practically without direct components from China. It is not a trivial topic. In fact, progress does not arise from comfort, but from the strategic need to reduce dependencies in a context total war. The transition reflects a profound change in the way weapons are produced, one where self-sufficiency becomes as decisive an advantage as combat performance itself. Drones and figures. Ukraine had opened numerous russian drones finding inside a skeleton of technologies and raw materials that came, on the one hand, from their supposed “allies”and on the other from china. Ukraine now hopes that no one tells it the same. The conflict has elevated drones to an unprecedented industrial scale, to the point that they are already attributed more than 90% of Russian casualties according to Ukrainian commanders. In addition, production has also skyrocketed: companies like Ukrainian Defense Drones manufacture up to 15,000 antennas per dayand the use of cheap drones of about $500 has become a key tool to balance the scales against an enemy superior in resources. This logic requires manufacturing in large quantities, assuming high loss rates in missions, and prioritizing volume and speed over perfection. Reduce dependency piece by piece. From that perspective, the advance towards “China-free” drones is progressive and partial, but significant. In just one year, Ukraine has gone from depending almost entirely on Chinese components to reducing that proportion to around 38%replacing key parts such as structures, controllers, antennas or transmission systems. This process has involved rebuilding entire supply chains and developing our own technical capabilities in record time, with European support to fill critical gaps. The real limits of independence. With everything and despite the advances, total autonomy remains complex. There are materials such as carbon, batteries or certain electronic components that still depend on global chains. dominated by Chinaeven when assembled outside its territory. This reveals an uncomfortable reality, since completely eliminating that dependency is not viable in the short term, especially when the cost remains a decisive factor in a war where thousands of units are constantly needed. Production, war and negotiation. They noted in the Times that the development of its own industry not only responds to immediate military needs, it also has political implications. Ukraine thus seeks to strengthen its position in ffuture negotiations demonstrating that it can sustain its war effort without depending on third parties. At the same time, diversifying suppliers reduces China’s pressure capacity, introducing a new balance in the global supply chain. Constant innovation. Practically since the beginning of the Russian invasion in 2022, the pace of technological adaptation in Ukraine has been breaking with traditional defense schemes. Drone designs are updated monthlyif not before, based on their performance on the front, in a continuous cycle of trial, trial, error and improvement. In short, a model that, driven by the urgency and human cost of conflict, is redefining how military technologies are developed in the 21st century, and where half the planet is asking he source code to copy it. Image | Lycksele-Nord, Maxim Subotin In Xataka | Ukraine has become the world’s leading specialist against Iranian drones. And he won’t share his antidote In Xataka | We thought we had seen everything in Ukraine, but no: the soldiers’ scissors have mutated into something similar to a laser

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