detect

What is this network traffic analyzer and how to use it to detect Internet problems or security flaws

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Let’s explain to you what it is and how to take advantage wireshark from the point of view of an ordinary user. I say this because it is a very advanced tool that analyzes all the traffic on your network, and that of all the devices connected to it. When you run this appyou’ll see a series of lines of data that you may not understand. But by knowing a little about what information is going to appear, you can also find ways to diagnose failures in your connection or whether an application or device is spying on you by sending data when you are not using it, or to unknown servers. What is Wireshark Wireshark is a network protocol analyzerwhat in English is called packet sniffer. What it does is capture, isolate and transmit each of the packets that are sent and received through our Internet connection, whether we are connected via WiFi or Ethernet, and it does all this in real time. This is a free and open source programwhich means that any developer can look at how it works inside. This makes it reliable and safe, because if it did things that were not appropriate, users would have already reported it. It has versions for Windows, macOS and Ubuntubeing able to download them at wireshark.org. When it comes to giving you information about the traffic that passes through your network, shows you very important datasuch as the IP and Mac addresses of the person sending or receiving the data, the sending protocol, the content (showing text or images if they are not encrypted), and connection healthwith the exact time it takes to load each piece of information. The operation of this tool is based on three fundamental pillars. First the capture one, because it puts your network card in a mode where it can see all the traffic that reaches it. This includes both information that your operating system displays and information that it does not display. It also has a color code to help you distinguish the packages. As a general rule, green is usually standard TCP traffic, blue is DNS or UDP, and black and red usually indicate problems. That’s why, you can identify that you are having errors or problems quite visually, just by seeing that there are many red or black lines. The app also has a top bar where you can type commands to filter information. This is already quite advanced if you don’t know how networks work, but you can, for example, use “ip.addr == IP Address” changing the address to that of a specific device to see its movements, or type “http” to see only web traffic. In short, it is a fairly complex and advanced tool, so it is not for all users. It is more aimed at system administrators, to detect attacks or bottlenecks. However, If you know where to look you can also take advantage of it as a home user. How you can take advantage of it Although it is an advanced tool, it can be useful for normal users in some contexts as well. We are going to give you some ideas so that you know the type of information you can obtain: If your online games cause problems: A speed test may tell you that your Ping is good, but the experience is different when playing. Therefore, this application can tell you if packets are being lost along the way that are making everything slower. If you are concerned about privacy: You will be able to see what data your devices send to the cloud and the Internet, and if it is not encrypted you will see your content. This can help you be more aware of your privacy, and detect if a device is sending more data than it should. You will also be able to see if a device connects to servers of dubious origin. If you have technical problems: If a website does not load or a printer disappears from the network, this application can show you at what point communication is being cut off. If you want to do lag tests: If in this tool you filter by the appropriate protocol, such as UDP for games, you will be able to find if there are black lines that indicate that the information you send is “out of order” because it never arrived at the destination or did so late. With this you can see that if you have lag it is not a matter of your bandwidth, but perhaps of your network signal or a saturated node of your operator. If you want to know what the devices on your network are doing: As we have more and more connected devices at home, with this you can audit what each one does. You can even isolate the IP of a cell phone or a security camera to know if it is connecting, what data it is sending, or if, for example, it sends data to other servers from time to time. In any case, what you should know is that this tool is going to show you all the traffic that your home network has. It shows all the raw traffic, and doesn’t hide anything, meaning you can have a lot of fun looking at everything that’s happening on your network and learning how to take advantage of it to understand everything. In Xataka Basics | Internet does not work at home: five alternatives to connect without using your router

There are economic incentives to detect excess

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It is one of those situations associated with the arrival of airlines Low Cost in airports around the world. We talked about the waiting in the shipment next to an imposing figure that gives access to the plane: the metal structures or boxes with pre -established measures to verify that effectively the Measures of your suitcase They pass the cut in cabin, or quite the opposite: it is time to pay an extra succulent. It turns out that there was something else in the search for excessive luggage: an economic incentive. A hidden model. The story was told this morning the British newspapers. Apparently, A report That he has seen the light has revealed a practice in the United Kingdom airports so far unknown. A disturbing aspect of the Easyjet operating model: a bonuses system Economics aimed at encouraging employees of land assistance companies, such as Swissport and DHL Supply Chain, to detect passengers with hand luggage that exceeds the dimensions allowed. Through an internal filtered email, it was learned that these workers receive a specific remuneration for each suitcase intercepted at the boarding door: 1.20 pounds per unitwhich translates into 1 net pound for each “gate bag” consigned. This policy was communicated by a Swissport supervisor in November 2023 and remains in force, applying in airports such as Birmingham, Glasgow, Jersey and Newcastle, as well as in others managed by DHL such as Gatwick, Bristol and Manchester. Pressure and poorly paid. The story puts the focus something else. I remembered The Guardian That employees who execute these tasks charge around 12 pounds and, according to testimonies collected by the press, do not have maneuvering margin. An old passenger services manager described the experience as a direct confrontation With passengers, many times tense and proclaimed verbal abuse, especially when it comes to groups such as the typical single farewell travelers, who are required to pay more for a suitcase than by the ticket itself. These agents are not only under pressure to detect breaches, but also to the scrutiny of an internal monitoring system that, although it ensures not having disciplinary purposes, can be used forto “detect training opportunities” according to the language of mail. Despite the apparently neutral tone, the workers, According to The TimesThey understand that compliance with objectives is part of a broader business logic that conditions its permanence and pace of work. Extra income at the expense of the passenger. Easyjet Allows for free To passengers carry a small bag that fits under the seat. However, any additional luggage requires an early payment that begins, in the United Kingdom, In 5.99 pounds. The true friction point occurs when travelers reach the boarding door with a suitcase that exceeds the stipulated measures. In that case, if the bulge has not been declared or paid, the passenger must disburse 48 pounds so that the piece goes to the winery. The amount of surcharge and the moment it imposes makes it a “luck” of economic punishment rather than a transparent rate. In this way, the opera incentive system Like a trap that makes door staff Executors of a policy aimed at maximizing benefits, not facilitating flight experience. Mentioned. Swissport He has responded claiming that it simply applies the rules defined by the airline, without commenting on the bonuses scheme that has generated controversy. Easyjet, on the other hand, has said that It does not manage directly the remuneration of external agents, but strives to ensure a “consistent and fair” application of their policies. Low Cost doubts. It We count The weekend, although low -cost airlines have been built on the logic of basic rates and disaggregated servicesthe revelation that agents are financially rewarded for penalizing the passenger reopens the debate on the model ethics. Far from being an isolated anecdote, this practice seems one more manifestation of the turn they have taken Some airlines In your effort for monetizing every aspect of the trip. While the strict application of standards is necessary to guarantee efficient operations, doing so directly to the land personnel can pervert the balance between control and customer service, generating an atmosphere of suspicion and distrust. Instead of promoting understanding or flexibility in situations of minimal deviation, the reward system Punitive surveillance and converts the boarding door into a friction point between airline and passenger. It was already the closest thing to a psychological horror scene for many, but now that we know that the rules are applied by employees that could have more economic incentives to punish, than to help, it is a little more. Image | Heute, JWH In Xataka | We have been binding to the suitcases to identify them at the airport for years. Your employees warn that it is a bad idea In Xataka | Ryanair will expand the size of the hand suitcase this summer. Its real objective is another

What is Google technology to mark and detect contents made with artificial intelligence

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Let’s explain What is and how does Synthid workthe tool developed by Google to mark and detect content made by AI. In a world like the current one in which the creation of texts and images with artificial intelligence is a reality, and where the video is the next step, so being able to make this identifiable content is important. So that you understand what it is about, we are going to start telling you what exactly this technology is and what it offers. Then, we will explain your operation a bit, and we will end up talking about your arrival and implementation. What is Synthid Synthid is a technology with which Mark the content that has been generated by artificial intelligence. What it does is generate a watermark in these published contents so that they are easier to detect by other systems, and that there is more transparency and trust in them. We live in a world in which it is already difficult to know if a text has been created by an AI or a human. The creation of images is also improving so much, that sometimes it is difficult to know when one has been created or simply modified using artificial intelligence. And the next step will be the video. This does not leave in a panorama in which the proliferation of false and misleading news seems to reach a new level, something that will make users begin to distrust even more in what is published. And it is in this context that Synthid technology arrives Created by Googleand that the company aspires that others also use. It is a technology that adds a watermark to the content created by AI, and then offers another technology to detect it. Google will start using this technology already in its generative AI systems. Therefore, When you generate an image with Geminito give an example, in the metadata of this image there will be a brand of water that you will not see, but other algorithms can detect to know if it is made by AI. Google’s idea is that other companies with AI systems to generate content They also adopt this standard. In this way, it will be much facilitated that then the rest of the platforms know if an image or video are made by an algorithm or a person has really made them. How Synthid works What Synthid does is embed digital water marks directly in images, audio, text or videos generated by artificial intelligence. These water marks are not visible, but are a line of code in the metadata that you are not going to notice. However, just as Google has this system to print water marks, it also has A version of Synthid to detect them call Synthid detector. In this way, its solution is able to generate the two necessary steps, to put an identifier to the content and to allow it to detect it. Therefore, the idea of ​​the company is that its chatbots and solutions to generate artificial intelligence content use this technology. Then, other companies will be able to use the Synthid detector to know if this content has been created by a Google AI. In fact, this can be An independent platform in which simply upload images, texts, videos and others, and will tell you if Pro Synthid has been created. And once this infrastructure is created, Google also expects other companies to be associated with them. In this way, they trust to make Synthid a standard for many to use it to put water marks, and many platforms also have the detector. When Synthid will arrive Although Synthid is a promising proposal and with many striking characteristics, At the moment it is not a universal standard. This means that it is only one of several proposals. Google is already betting on her products, but at the moment nothing more. The next step will be convince other AI companies to use this technologyand thus generate an ecosystem that makes it a standard. But for now this has not happened, and no matter how much Google marks its images, it is useless if no one else does. Therefore, we still do not know to what extent Synthid will end up use. The next months and years will give us a track If other companies join this technology or not. At the moment, Google has a list open for companies to start trying it. In Xataka Basics | Gemini 2.5 Pro and Flash: What are the novelties of the new artificial intelligence models of Google capable of thinking and speaking

The Chinese company Alibaba has an AI to detect pancreatic cancer. It is so good that the US has accelerated its approval

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The applications of the artificial intelligence (AI) They go far beyond what models such as Chatgpt, Deepseek or Dall-E offer us, among many others. These services are already part of the day -to -day life of many people, but AI is present in many other areas in which is already making a differencesuch as The design of new materialsthe development of drugs or medical diagnosis. The innovation in which we are about to investigate belongs to this last scenario of use. And it is that the Damo Academy, which is the branch dedicated to the investigation of the gigantic Chinese company Alibaba, has developed an AI tool that is capable of detecting in an early phase and in asymptomatic patients one of the types of cancer with the worst prognosis: that of pancreas. The figures of this disease are shocking. Is The seventh cause of cancer death globally even though the twelfth type of this most frequent evil. And survival after diagnosis, unfortunately, does not exceed 10%. The FDA is accelerating the approval of this Alibaba technology When the protagonist is the health of the people it is encouraging to verify that two superpowers faced with The virulence with which they are Currently USA and China are able to leave their differences aside. The first contact with AI developed by the Damo Academy to identify pancreas cancer in November 2023 thanks to an article published in the Medicine magazine Nature Medicine. Some treatments have taken between 10 and 12 years to be approved by the relevant agencies The approval of an innovation of these characteristics by the European Medicines Agency, known as EMA for its English denomination (European Medicines Agency), or the FDA (Food and Drug Administration) of the USA, requires investing a lot of time. Some treatments have taken between 10 and 12 years to be approved if we count the time elapsed from the moment the initial idea arose until it received the final blessing from these agencies. However, this alibaba presumably will be able to be used with patients in much less time. And is that, according to SCMPthe FDA has initiated the process of accelerated review and approval of Panda (Pancreatic Cancer Detection with Artificial Intelligence), which is what is the name of the model developed by Alibaba. This deep learning model It has been trained with computerized abdominal tomographies without contrast of 3,208 patients with pancreatic cancer. And, according to preliminary tests, it is 34.1% more sensitive than radiologists when identifying this disease. Alibaba has already used Panda to examine 40,000 people in a hospital in NOBO (China), and identified six cases of early pancreatic cancer. Two of them were overlooked by radiologists during routine exams. Image | MART PRODUCTION More information | Nature Medicine | SCMP In Xataka | We did not know why some superbacteria were resistant to antibiotics. This AI has found it in two days

We knew that smell and memory are closely related. And that unlocks an advantage: detect the Alzheimer’s

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Alzheimer’s disease may be difficult to detect. The symptoms of this disorder usually become evident only after the progress of this dementia, which is a huge problem. And, in the absence of a definitive cure, our ability to stop the impact of the disease depends largely on early detection. Smell. One of the clues we have when detecting Alzheimer’s in its early stages is through smell. A study conducted by researchers from the University of Chicago analyzed the impact of the disease on our sensory capacity and detected that there is a rapid loss of smell when making us greater could predict with some accuracy The advent of Alzheimer’s disease. Smell of Magdalena. The relationship between memory and smell is very narrow. We know that the evocative capacity of smells It did not go unnoticedbut in recent decades science He has been confirmed This unique connection. The reason for this close relationship can be anatomical. The olfactory bulb is the region of the brain that processes in the first instance the smells and then send the signal to other areas of the brain. This signal crosses key areas of the limbic system, areas linked to emotions and memory. “The olfactory signals reach the limbic system very quickly,” Explain to The Harvard Gazette Venkatesh Murthy, head of the university’s cell and molecular biology department. 515 participants. The study of the University of Chicago had 515 participants, advanced adults, registered in the memory and aging project of the Rush University. These participants were examined annually, exams that test their cognitive abilities to detect signs of dementia. These tests also studied their ability to identify odors, in addition to other health -related parameters. More than memory loss. The team thus found a new link between smell and memory: a rapid loss of olfactory capacity prior to any cognitive loss could predict the arrival of various symptoms associated with Alzheimer’s. These symptoms included a lower volume of gray matter in the areas of the brain linked to smell and memory, cognitive loss and a greater risk of dementia. They also found a relationship between this olfactory loss and the presence of the APOE-E4 gene, a genetic variant considered risk factor in the advent of Alzheimer’s. The details of the study were published In an article In the magazine Alzheimers & Dementia. “This study provides another clue on how a rapid loss of the meaning of smell is a very good indicator of what will end structurally in specific regions of the brain,” ” explained in a press release Jayant M. Pinto, co -author of the study. Get ahead of the disease. Alzheimer’s is an incurable disease for now, but there are different treatments that allow us to delay the development of its symptoms. For that, we must get ahead of the disease as much as we can. Something difficult in a disorder that only shows its consequences once the disease is advanced. “If we could identify their 40, 50 or 60 people with greater risk, we could potentially have enough information to aim them in clinical trials and develop better medications,” also added in a press release Rachel Pacyna, work caoautora. Own initiative. The fact that the change in our smell is rapid and before the arrival of cognitive deterioration opens an important window, putting the patient itself in warning. And it is that most of the ways we have to detect the appearance of dementia is through external evaluations, for example when family members detect memory problems or In language. The loss of smell is something that, in principle, It can be striking to the patient himself and put it on guard or encourage him to seek medical advice. When the smell of the Magdalena stops bringing us memories, perhaps what we are playing is not only the evocation of a memory. In Xataka | We have a new “theory of all” to understand Alzheimer’s. Your key is in small granules Image | Cottonbro Studio

The National Police had been using ia for six years to detect false complaints. His real reliability was very debatable

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In October 2018, the National Police published a press release in which everything sounded great. There was talk of A new artificial intelligence tool called Veripol that promised an accuracy of 90% when detecting false complaints. Six years later we have discovered that this promise was very debatable. The Technical Cabinet of the General Police Directorate He confirmed Civio that this tool ceased to be operational in October 2024, six years later. This decision, as this media points out, was not accidental. Three months before BOE was published with the new artificial intelligence regulation. In section (59) it is indicated to the polygraphs of AI as high -risk AI tools and the following is precisely indicated: “(…) It is appropriate to classify several systems of AI destined to be used for the purpose of guaranteeing the law when their precision, reliability and transparency are especially important to avoid adverse consequences, conserve the confidence of the population and guarantee accountability and effective resource roads. the risk of a natural person being a victim of crimes, Like polygraphs and other similar tools. “ Not only that: a group of law and mathematics experts from the University of Valencia highlighted In a study How Veripol was a tool that information was barely available, which made an especially complicated audit. Even indicating that this made them conjecture their conclusions, they stressed the situation was “very poor in terms of compliance with the minimum standards of transparency” necessary for the use of tools of this type. Do certain specific words are enough to detect lies? Civio conducted a study of the reliability of the tool. After analyzing 1,122 allegations of theft in Spain of 2015, Veripol’s behavior was singular: if a complaint contains the words “day”, “lawyer”, “safe” or “back” it is more likely to be false, but that probability increases If words like “two hundred” are used several times or “barely.” Veripol began to be evaluated in a pilot program in June 2017, and He won an award Investigation of the Spanish Police Foundation. There was talk of its success even In Scientific American. Little by little, its use was extended until officially activated in the aforementioned October 2018 nationwide. Its use was notable until October 2020 (about 84,000 complaints), while apparently in 2022 it was used only in 3,752 complaints, of which 511 were detected as false. In the development of said project The Complutense University of Madrid (UCM), the Carlos III University of Madrid, the University of Rome “La Sapienza” and the Interior Ministry of the Government of Spain. A UCM advertisement Point out How the initiative began in 2014, and began to be tested with apparent success in 2017. Preliminary tests, yes, were executed with a sample that The experts described as scarce. In this statement, it was highlighted how “it is the first time worldwide that a tool of these characteristics is developed” and that Veripol performed an “automatic analysis of the statements of complainants using natural language processing techniques and automatic learning, with a success rate of 91%, fifteen points higher than that of expert agents.” In the description of its operation the following was pointed out: “For example, it is known that in cases of theft, true statements are presented more details, descriptions and personal information, in the face of the exclusive insistence on the extracted object and the omission of details about the attacker or how the incident of the false happened. From this linguistic analysis, Veripol is able to create an effective pattern.” “In just one week, 31 and 49 false theft cases were detected and closed, while between 2008 and 2016 they were 3.33 and 12.14 in Murcia and Malaga, respectively. The effectiveness of the pilot study was 83%.” A doubtful reliability He Complete study of the University of Valencia reflects a debatable functioning of the tool. They indicate how Veripol designers claimed that false complaints in relation to theft are “extremely common” and the crime is “generally carried out by citizens who have no criminal record.” They have no clear figures, but even unable to estimate the real figure of false complaints “they suggest that it could be around 57%”, a figure that It rests interestingly in non -solving cases. In Damn.es They carried out in 2020 an analysis of the evolution of the use of veripol and indicated how “the fact that the total registered crimes remains constant as the veripol use figures decrease, can be an indicative that the algorithm It is not used so much among the police officers. “For some agents, they pointed out,” the program is not very precise “, and that although in theory it could work well, its application in police stations was complex because training was needed to do so. Algorithmwatch, a non -governmental and non -profit agency based in Berlin and Zurich, often performs algorithms analysis and AI systems to try to evaluate their reliability and validity. In October 2020 They evaluated Veripol’s behavior And his conclusion was already overwhelming: “It is not clear if it works as it is intended”. They also explained that lies detectors – which is in essence what Veripol is – have a long trajectory of bad operations. In this concrete algorithm, he worried for example how some specific words had too much weight in the decision. One of the agents interviewed at that time indicated how it was enough that the word “knife” was in the report to be considered true. We are therefore before a technological tool, in this case theoretically supported by AI, which raised doubts from the beginning for transparency about its true functioning and development, and that it began to be used without preliminary evidence being completely conclusive by the size of the samples. In recent times We have seen for example how the Ábalos ‘case’ served to demonstrate that There are many risks here and that it is necessary to evaluate well the application of algorithms before applying them in public bodies of … Read more

AI is unable to detect them

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Few creations? older, worked, explored and unfortunately linked to social networks and messaging apps that the Photopollas. There is studies that suggest that More than 40% of women who use networks have received photos of male genitals who neither want nor asked, although the percentage of men who recognize send them is quite lower. A while ago Yougov began to ask and only 5% From respondents he admitted to having done so. Now the genre seems to have found a particularly conducive land in one of the social networks with the greatest pull, Tiktok. Despite the strict Content policy of the platform and that in their Community standards It makes clear (and bold) that does not allow nudes, including of course images of genitals, there are users who have found a crack to show their penises. And they are doing it. So much, in fact, that they have made it A trend (“I don’t have Gloss Men Trend”) that already inspires a good handful of videos in Tiktok. Question of Photopollas Capture one of Tiktok’s videos. A quick search arrives to find two kinds of videos: those of men who teach their genitals and those of people who denounce, criticize and ridicule the trend. The most curious thing is that the pieces are circulating on the platform without the Tiktok filters or the Complaints other users prevent it. The videos are all more or less the same pattern, a very simple one and that seems to ridicule the pieces of Skincare With a sequence of two images. In the first one shows a man (many times only his body is seen, without the face) next to the message “I don’t have gloss for the trend, but I have … “ In the second one reads “… a nice lipstick”. The key, of course, is not what that text says, but the photos. That “cute lipstick” is accompanied by a photo that shows a shampoo boat, a perfume bottle or a hair removal gel (it actually serves any beauty product) with a background penis. The genitals do not appear in the foreground and it is not always possible to appreciate them in a quick look, but they are there. Clearly. Incontestable. A Photopolla of manual. The big question is … how is it possible? First because penises are unmistakable, explicit and breached the Content policy of Tiktok, very strict in regard to the nakedness and contents of sexual character. Second because there are users who claim to have denounced it to the platform. Another example of the trend. Another capture of Tiktok. “I have denounced the videos and it makes me not breach the rules of Tiktok. But Madam, that I see him the Nepe To this man! ” Ainoa_book laments. “How do I not breach the rules if I go out with a gutter and forthed the video.” Than in Tiktok are sharing videos of genitals without the images ended is more than a simple curiosity or a specific trend. The phenomenon is relevant because the platform, like Instagram, resorts to AI algorithms that are precisely dedicated to recognizing Explicit Content. These videos show that a simple trick arrives (the background) to make fun of them. In Xataka we have done A test which suggests that AI seem surprisingly seem to have a “blind spot” with this kind of Photopollas. The test has been very simple and we include several screenshots with the results: we have made catches of Tiktok videos in which they are clearly appreciated male genitals and then we have shared them with Chatgpt, Claude and Gemini To know what they see. An experiment with AI Claude’s response. Claude’s response. Claude’s response. Chatgpt response. Chatgpt response. Chatgpt response. Chatgpt response. Gemini’s response. Gemini’s response. Answer of See Your Photos’. As can be seen in the catches above, none has clearly detected the penis that appears in all images. Neither Gemini, nor Claude, nor chatgpt, who at most, when it is pointed out exactly where the Photopolla It is limited to recognizing that it cannot “confirm it with certainty” and the content may be “ambiguous”. “I understand why it might seem,” he explains on one occasion. To make it easier, we even ask them directly if they watched a penis or believed to distinguish it in the background. The result has always been negative. The AI ​​does not see it and focuses basically on Describe the bottle of gel, shampoo, deodorant, perfume … that focuses on the foreground. – Do you see a penis in this photo? “We ask.” Claude After attaching an image in which a man is appreciated holding a bottle with his penis behind. – No, the image shows a cosmetic product, specifically a facial serum. – And in this, not even in the background you see a penis? —We insisted with another similar image in which another bottle and another background penis are seen again. – The image shows a bottle of perfume or fragrance with a modern design. It is not a unique case. Similar responses throw chatgpt, gemini and even They see your photoswhich brings much more detailed descriptions of the images, but without any mention to the penises that sneak into each and every one of those photos. In one of them, in which a body cream is seen on an erect penis, the AI ​​clearly appreciates the product, explains what brand it is and even theorize about who can be the author of the image and who belongs who belongs The hand that holds the boat. But neither A single mention to a key detail: the Photopolla. The Achilles heel of the AI ​​was not at the end in the heel. Images | Tiktok In Xataka | If you are unable to trust that happiness lasts too long, Tiktok has the diagnosis: you see “weird lamps”

detect a plane at 5,000 meters high

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China has been around for a while developing all types of sensors and radars whose characteristics suggest a future very different from the current one. Without going too far, last September They tested a device called LARIDa super radar that was able to detect a gigantic bubble of invisible plasma in the Pyramid of Giza. The latter is something very different, and can change the battlefield. Unprecedented underwater radar. In a secret location 1,000 meters deep, Chinese scientists have developed and tested what points to an unprecedented underwater sensor capable of detecting aircraft at high altitude from the depths of the ocean, representing an unparalleled strategic advance for the People’s Liberation Army (PLA) submarine fleet. To give us an idea, technology managed to identify a fixed-wing aircraft at 5,000 meters above sea levela milestone that no other nation has achieved to date. Such technology, which until now was considered impractical due to the complex acoustic properties of water, could dramatically improve the survivability of submarines against warplanes. antisubmarineequipped with advanced sensors to locate and destroy them. Implications and capabilities. Underwater radar represents a significant strategic advantage for the nation. The reason? Turn the current combat around, allowing your submarines to go from targets to hunters in anti-submarine warfare. Currently, aircraft equipped with advanced sensors can detect and attack submarines without being spotted, but with this new technology Chinese submarines could, a priori, receive early warnings of hostile aircraft and launch missiles from underwater with precision. And there is more, of course. The main technological challenge lies in the fact that most of the sound waves generated by aircraft are reflected from the sea surface, making their detection difficult. However, researchers at the Institute of Acoustics of the Chinese Academy of Sciences, led by Zhang Bo and Peng Zhaohuiemphasize that they have achieved an innovative solution by taking advantage of the multiple reflection of sound waves between the seabed and the water surface, allowing Extend detection range and improve radar sensitivity. System testing and limitations. Apparently, In 2022, China carried out secret tests of underwater radarmanaging to detect a plane 17 kilometers away and, attention, with a margin of error of less than one kilometer. Still, limitations were identified, such as a blind spot when aircraft fly directly over the sensors, as well as a detection range that still needs to be expanded for effective military applications. In this regard, Zhang and Peng continue working on system optimizationalthough they have not revealed recent data. Complement to the military intelligence network. China’s military strategy is based on a multi-layered approach that integrates various detection technologies. Currently, the People’s Liberation Army has a satellite network capable of tracking high-performance aircraft like the F-22 stealth fightersin addition to radar systems on ships and land stations. The new underwater radar would act as a complement, providing redundancy and improving detection capability in hostile environments. Future perspectives. Although the details of this development were kept secret for years due to its military sensitivity, the research team has recently published an article in the journal Acta Acusticaa job where information about the functionality of the system is provided. That said, and as is often the case with innovations of this type, everything indicates that there remains a long road of testing and improvements in operational scope to guarantee its effective integration in real combat scenarios. What does seem abundantly clear is that the innovative underwater detection system marks a paradigm shift in naval warfare, one where, in the absence of verifying it on the ground, It would give China a huge tactical advantagehighlighting its leadership in the development of cutting-edge underwater surveillance technologies. Image | Marinha In Xataka | China has tested its new super radar. They have detected a gigantic bubble of invisible plasma in the Pyramid of Giza In Xataka | China gains muscle in aerial technology: it already has new radars against drones, missiles and stealth aircraft

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