The origin of this incident is that some cities have made a wish for a “digital economy”, admiring the name of “smart cities”, and they want to build “urban brains” one after another. This is a good thing. Who doesn’t want to be a fan of the computing power economy? If the local government builds the platform down-to-earth and the manufacturer deploys the product honestly, there is nothing to write about. But there are some weird phenomena, which creased this pool of spring water. Attention, there is weirdness! For example, more than half a month ago, a city’s artificial intelligence computing center project was completed and put into use to provide services such as public computing power for the artificial intelligence (AI) industry. What a good thing! However, in the media reports on the computing power of the center, such a strange appearance appeared: “The first phase of the center’s construction scale is 100P FLOPS artificial intelligence computing power… Its computing power is equivalent to 50,000 high-performance computers.” XX release, investment XX, a little information XX, etc. “The computing power of artificial intelligence is equivalent to 50,000 high-performance computers”, which is typically misleading. Coincidentally. Two years ago, when a large-scale intelligent computing project was launched in a city, the computing power released to the outside was “100PFLOPS”, and the topic was forcibly added: “Domestic AI training clusters enter the field of supercomputing”… The AI ​​dedicated smart computer became an all-round supercomputer at once, wonderful! Speaking of dollar as a “knife” and intelligent computers as supercomputers, who is pretending to be confused? Sorry for joining the stage! Is it really all the media? not necessarily. Regardless of whose pot it is, but see that the unhealthy wind is getting longer. In some places, in order to quickly launch the computing power project, the computing power is not discriminated, as long as the number is beautiful enough. Perhaps the local area did not spend a particularly large amount of capital, and built the so-called tens of P, hundreds of P computing power, thinking that it can compete with the national supercomputing center and launch a wave of computing power to drive the economy. Unexpectedly, when they invited supercomputer experts to ask, it didn’t seem to be the case. Why? You get what you pay for computing power. In order to quickly launch the computing power project, the smart computer and the supercomputer are stupidly unclear, and they are even more confused about what is the reasoning performance and what is the training performance. As a result, I thought that I spent a small amount of money to build a world-class supercomputer. It may cost a lot of money to build a machine with only reasoning performance. What does that sentence say? “ The gift of all destiny , The price has already been secretly marked . ” Today we will talk about the mystery of this. Smart computer VS super computer, can’t tell the difference? First of all, supercomputing is supercomputing. Some machines dedicated to AI computing are also called supercomputing, which is questionable. The Linpack test, which is currently used in the industry to measure supercomputers, tests the “double-precision floating-point computing capabilities” of supercomputers, that is, the calculation of 64-bit floating-point numbers (FP64), which is a high-precision numerical calculation. Among the digital precision expressed in binary, there are single precision (32-bit, FP32), half-precision (16-bit, FP16), and integer types (such as INT8, INT4). The higher the number of digits, it means that people can reflect the changes of the two values ​​in a larger range of values, so as to achieve more accurate calculations. Unlike many scientific calculations, the computing power required by AI does not need to be too high-precision. For example, some AI applications need to process speech, pictures, or videos. Inference or training can be completed by running low-precision calculations or even integer calculations. This kind of special computer processing AI algorithm is fast and low energy consumption, which is determined by its characteristics. To sum up, we can distinguish as follows: Smart computer Is a kind of dedicated computing power, they Good at intelligent calculations such as reasoning or training , But because AI reasoning or training generally only uses single-precision or even half-precision calculations, and integer calculations, most intelligent computers do not have the ability to perform high-precision numerical calculations. This also limits its use in application scenarios other than AI computing. In contrast, supercomputer It is a kind of general computing power, and its design goal is Provide complete and complex computing capabilities They are more capable of high-precision computing and have a wider range of applications. For example, scientists often use supercomputers for planetary simulation, new material development, molecular drug design, genetic analysis, and other scientific calculations and big data processing. Chen Zuoning, an academician of the Chinese Academy of Engineering, once vividly used supercomputing for AI calculations “Big Horse-drawn Car” , To illustrate that although supercomputing is “decathlon”, it is not tailor-made for AI after all; in order to do things cheaply, intelligent computers have emerged. The fusion of AI and supercomputing, which was once hyped before, is also an improved high-performance computer “AI Specialization” Strictly speaking, they no longer belong to the category of supercomputing in our traditional discourse system. Nowadays, regardless of the completion of the supercomputing center or the intelligent computing center, they all claim the computing power “FLOPS”. In fact, this unit is “floating point computing power per second”, and the unit of some smart computers is actually “OPS” – ―The number of operations per second. If there is no distinction, it is easy for everyone to mistake it for the same calculation accuracy and the same calculation ability. This also leads to Some places think that they have spent a small amount of money to build the world’s top “big supercomputing”, which seems to have taken advantage of it; when the project was launched and introduced to the supercomputing industry, they were dumbfounded. . Sorry, it’s on stage again! Use new indicators to guide the healthy development of the industry To avoid misleading and chaos in the industry, the concepts of smart computers and supercomputers must be clearly distinguished. As mentioned above, there is another misleading in the industry, that is, the reasoning performance and training performance of fuzzy intelligent computers. Compared with inference, training performance often requires higher calculation accuracy, such as 32-bit or even 64-bit. Most AI chips with “dazzling” performance often refer to their inference performance, and may only be theoretical values. For AI computing, training performance is often more important-many intelligent models depend on this. If you want to draw a schematic diagram of the computing power required by AI, “inference” is at the bottom of the computing power matrix, because half-precision computing power (FP16) or integer computing power (such as INT8) can meet the inference needs. The top one is “training”, which generally requires the use of single-precision computing power (FP32) or half-precision computing power (FP16); the most demanding computing power is the brain-like “simulation”, which requires double-precision computing power. Both computing power (FP64) and low-precision computing power are supported at the same time. In order to achieve better guidance, A simple and effective indicator is needed to help judge the AI ​​computing power of the system and the development status of the entire high-performance AI field . November 2020, Researcher of the Institute of Computing Technology of the Chinese Academy of Sciences, Secretary General of the High Performance Computing Professional Committee of the Chinese Computer Society Zhang Yunquan Joint Professor of Tsinghua University Chen Wenguang , Researcher of Argonne National Laboratory Pavan Balaji And professor at the Swiss Federal Institute of Technology Zurich Torsten Hoefler , And the ACM SIGHPC China Committee jointly initiated the “International Artificial Intelligence Performance Computing Power 500 Ranking” (ie AIPerf500) based on the AIPerf large-scale AI computing power benchmark evaluation program. Those who are interested can look through this list, The computing power unit of the machines on the list is OPS . “Supercomputing and AI computing, one yard equals one yard, requires a new scale to guide the AI ​​computing industry on the path of healthy development.” Zhang Yunquan said. Can’t get around Nvidia?Domestic AI chips are waiting to be fought The computing power starts with the chip. On the AI ​​chip track, my country has chip design companies such as Huawei N Ten, Baidu Kunlun, and Suiyuan, but even so, domestic smart computers rarely bypass the American GPU giant Nvidia. This is a helpless reality: Nvidia is a tangible beneficiary of the many intelligent computing centers launched in China . AI chips that specialize in intelligent computing can achieve faster speeds and performance that is several orders of magnitude higher in low-precision calculations as long as the number of cores is large enough and the main frequency is high enough. However, if a computing cluster requires both high-precision calculations and low-precision calculations, the requirements for AI chips are high. This is also the killer of NVIDIA GPUs. Their computing power in various precisions is outstanding and very balanced (of course AI computing power is stronger), not to mention NV has a better software stack and application ecology. Sorry, it’s on stage again! This is one of the reasons why it is difficult for most domestic AI chips to compete head-to-head with NVIDIA GPUs. And if Nvidia finally successfully acquires ARM, it will be even more powerful and take off completely. However, domestically produced AI chips are not entirely without opportunities. first of all, At present, my country’s computing power infrastructure has a strong willingness to localize. Even if giants such as Nvidia and Intel take the lead, the tide of localization is still unstoppable due to various factors such as comprehensive cost and ecology. Secondly As far as the current development of AI is concerned, scenarios, data, models, and computing power are indispensable, which means that China will be a place where global AI computing power is rich in the future. As a core requirement, AI chips cannot be monopolized by one form or one ecology. The outstanding domestic AI chips such as Cambrian and N-Teng still have huge room for development. Furthermore Although the chip is the main source of computing power and the most fundamental material basis, the production, aggregation, scheduling, and release of computing power is a complete process that requires the cooperation of the software and hardware ecology of a complex system to achieve “effective computing power.” Therefore, we should not only pay attention to the single performance index of the chip, but also pay attention to the upper-level software application ecology. Is it impossible to develop AI without huge computing power? Finally, let’s talk about the development trend of AI. Behind the confusion of the concept of computing power is the soaring demand for computing power in AI computing like a wild horse. This is not surprising. The amount of AI training is determined by the amount of parameters. What is the scale of the parameters for training AI now? Hundreds of billions, trillions! OpenAI, an artificial intelligence non-profit organization jointly established by a number of Silicon Valley “tycoons”, launched its new generation of unsupervised translation language model GPT-3 in May 2020. It currently has 175 billion parameters and a training data volume of 45TB ( About 1 trillion words). The GPT-3 model has made major breakthroughs in semantic search, text generation, content understanding, and machine translation. Its greatest value is to verify the machine’s unsupervised self-learning ability, and to verify that performance can be improved purely by scaling up. The trillion-parameter model is already on the way. In early June, Beijing Zhiyuan Artificial Intelligence Research Institute released “Enlightenment 2.0”, claiming to reach 1.75 trillion parameters, surpassing the Switch Transformer previously released by Google, and becoming the world’s largest pre-training model. The rapid growth of the parameter volume also means higher computing requirements-some may require thousands of GPUs to provide the necessary computing power. For giant models like GPT, the demand for computing power is not a joke. Is it impossible to develop AI without huge computing power? Experts believe that in the current stage of AI development (perceptual intelligence and cognitive intelligence), computing power is still the first. In fact, the development of AI can be improved through computing power, or through the algorithm revolution, but at the current stage of “capital orientation”, Compared with the uncertainty of the algorithm model breakthrough, the increase of computing power is the easy choice. However, it must be pointed out that the use of huge computing power is not the only direction for the development of artificial intelligence. Giant models such as GPT-3 also have shortcomings, such as lack of common sense; and explore the mysterious mechanism of the human brain to realize small data learning and migration learning. It is also an important means. After all, the power consumption of the brain is only about 20W, and the realization of a smart system with low energy consumption may be a more important direction for efforts. (This article was written under the strong guidance of experts in the field of supercomputing such as Zhang Yunquan, Senior Commissioner of the Chinese Computer Society, and I would like to thank you!)

Fantasy of artificial intelligence has just been released in Vietnam. (Source: Nha Nam) The book also gives the final result and points out the difference between AI (Artificial Intelligence) and the human brain, thereby showing readers the risks of over-reliance on machine results. count. In the first four chapters, the author has used a lot of real-life examples to explain in an easy way how artificial intelligence works and how they produce the end result. The author claims that robots have surpassed humans in repetitive monotonous tasks, they have better memory, perform more accurate calculations and are tireless. But artificial intelligence is not programmed to simulate the human brain, and artificial intelligence cannot think, reason, and reason. Since then, the author asserts, until now, computers with comprehensive intelligence enough to compete with humans have not yet existed. In the next two chapters, by referring to “Data Mining”, it is proven fact that data mining even though sometimes there will be a real knowledge discovery. The larger the number of explanatory variables considered, the more likely it is that a relationship discovered is just a coincidence, of temporary nature. In the remaining chapters of the book, the author has given many computational models in many fields such as finance, politics, economics… to prove that statistical evidence is not enough to distinguish between knowledge real and false consciousness. The computer cannot accurately judge whether the correlation is random or truly significant. That work is only for the human mind. Computers smarter than humans? It can be said that artificial intelligence (AI) is one of the most interested keywords. Now, thanks to AI, we can do things that were never possible before and never thought we could do. However, with AI’s undisputed capabilities are fantasies and fears for the future of humanity. The real danger is not that the computer is smarter than us, but that we think the computer is smarter than us and therefore trust the computer to make important decisions for us. Meanwhile, computers can completely make serious mistakes, when the way they process data is not the same as the way humans think. In conclusion, human intelligence works differently from artificial intelligence, so it cannot be said that artificial intelligence is intelligent. Robots excel in memory, accuracy, and endurance, but they still have many shortcomings: they can’t think, can’t make analogies, and can’t distinguish between good-bad, meaningless-meaningful data. Humans need computers to process large amounts of information, but also need human intelligence to make final judgments about the results returned by computers. Gary Smith is a Professor at Pomona College, USA. He is involved in numerous research projects that highlight the questionable use of data in statistical analysis. He is the author of 8 textbooks, 7 business books, nearly 100 academic articles, and 7 software programs in economics, finance, and statistics. In addition to teaching at Pomona College, he is also an economic analyst and consultant. His other famous books such as Standard Deviation: Flawed Assumptions and Tortured Data also warn about the dangers of confusing correlation and causation in statistical analysis.

Recently, Australia has witnessed the first Tasmanian devil (a carnivorous marsupial of the family Dasyuridae) born in the wild after more than 3,000 years since the species disappeared from the continent. Specifically, according to the announcement of the Aussie Ark wildlife conservation organization on May 24, 7 young Tasmanian devils were born at the Barrington wildlife sanctuary, New South Wales, Australia. It is known that the Tasmanian devil disappeared from mainland Australia thousands of years ago. The Dingo is the cause of the extinction of the Tasmanian devil Since then, the Tasmanian devil has only lived within the island of Tasmania, south of Australia – where the wild dog Dingo has never set foot. However, the Tasmanian devils that exist on the island are threatened by the disease “demon face tumor” – a mysterious infectious cancer unique to this species. The disease causes the body, especially the face of the Tasmanian devil, to develop large lumps, which will be fatal to the animals within 3-6 months. Worse still, this is an infectious disease. In the process of fighting for territory or food, Tasmanian devils often bite each other in the face. Accordingly, cancer cells in infected animals will easily be transferred to healthy children Before this strange disease first swept the island of Tasmania in the 1990s, there were about 150,000 Tasmanian devils on the island. However, statistics by 2020, only less than 25,000 animals are still alive in the wild The fact that this species has almost disappeared on the continent and the island’s numbers are on the decline has led Australian conservationists to work hard to protect, breed and return the Tasmanian devil to its natural environment. In September 2020, the wildlife conservation organization Animal Ark brought 11 Tasmanian devils back to the wild in mainland Australia (specifically, the Barrington wildlife sanctuary). Together with 15 individuals previously present in a research project, the number of Tasmanian devils in mainland Australia is increased to 26. After 8 months since returning to the wild, the Tasmanian devils have successfully reproduced When born, the offspring are only the size of a pea and live in the mother’s pouch The successful breeding of demons in mainland Australia has raised hopes for the success of the plan to release and breed Tasmanian devils in the wild. Normally, the mother Tasmanian devil will give birth to 20-40 offspring at a time. The offspring will have to compete for milk from the mother At birth, the baby Tasmanian devil weighs only about 0.18-0.24 grams and is about 0.2cm long Once born, the baby Tasmanian devil will crawl into the mother’s pouch. After 3 months there, its body is complete and can go out to explore nature. When they reach the age of 3.5 – 4 months, the young begin to wean from their mother’s milk Baby Tasmanian devils are more agile than adults and can climb trees. If they can survive the first year, their lifespan in the wild is around 7-8 years As adults, Tasmanian devil males are usually larger than females with a body length of about 65 cm, a tail length of about 25 cm and an average weight of about 8 kg. Females are about 57 cm in length, about 24 cm in tail and have an average weight of about 6 kg The size of the Tasmanian devil is not too big, but after the Tasmanian tiger went extinct in 1936, they became the largest carnivorous marsupial in the world. The appearance of this creature is quite strange when it seems to be “hybrid” between many animals. The head of the Tasmanian devil looks like a mouse, the body is neat, stocky with black fur and a white stripe across the chest quite like a small bear, their teeth are sharp like a wolf… The Tasmanian devil is exactly the epitome of the saying “small but mighty”. Although the body size is only about the size of a puppy, it is considered a “killer” in the animal world because it possesses many “weapons” that are beneficial for hunting. Thanks to their extremely sensitive sense of smell and hearing, the Tasmanian devil easily finds prey or detects other dangers. Tasmanian devil is an agile animal and the ability to fight flexibly on many terrains (ground, underwater, in trees) plus an aggressive personality, like to “chase and kill” so it is rare for any creature to escape the danger. their pursuit Their teeth are also extremely sharp and their jaws are so powerful that every bite is a fatal blow The Tasmanian devil is basically a carnivore, so its food is any animal they hunt. They even eat carrion. Thanks to their sharp teeth and strong jaws, they can even eat bones In addition, the cry of the Tasmanian devil is very scary, it makes the listener feel like they are lost in a horror movie When hunting or fighting for food with fellow humans, the Tasmanian devil will emit even more haunting cries Possessing incredible speed, sharp teeth, haunting cries … so this creature is likened to the devil of Tasmania. It is known that the Tasmanian devil is one of the 7 important species for Australia’s ecosystem The ‘revival’ of the Tasmanian devil in mainland Australia will help control populations of feral cats and foxes – these are animals that threaten the existence of many other species In addition, the Tasmanian devil is also a scavenger, helping to avoid diseases spreading into the environment

I have a chance to chat with Prof. Dr. Bui Cong Hien , former lecturer of Biology Department, University of Natural Sciences, VNU, leading entomologist in Vietnam about 10 years ago. At that time, he was retired and was dreaming with his friends to open a gallery of paintings made from insects. At the age of 80, Prof. Dr. Bui Cong Hien is still working hard. After a few years, I had the opportunity again follow GS.TS. Bui Cong Hien visit the artificial butterfly farming model in Ba Vi (Hanoi) made by himself. During those meetings, he told me about the insect world, about the benefits of insects and his predestined relationship with insects. He said, when he was still a student, he studied at the Department of Physics, Hanoi University (now Hanoi National University). He said that at that time his knowledge of insects was very little. Most of the time the teacher assigns a topic to do it. he did “Study on the phototropism of insects”, “Biology and ecology of the rice weevil (Sitophilus oryzae)” all suggested by the instructors. “Later, when I was retained as a teaching staff, I was assigned to the insect group of the Department of Invertebrates, Department of Biology. When going to work as a PhD student in the GDR, following the advice of Prof. Dao Van Tien, I chose the direction of research on Insect Physiology, a very bony research direction. Maybe I have a predestined relationship with insects, so insects chose me,” he wittily shared. He said, from that fate, he focused on researching insects in many directions such as insect pests, applied entomology, pheromones of insects, insects in Vietnam and prevention of harmful insects. , insect resources in Vietnam and valuable insects… From these studies, the benefits of insects he called “gold mines”. He affirmed that with more than 1 million species and living in all habitats, there is no creature that is attached to humans, being both “enemies” and “friends” like insects. Although small, the insect world is both “romantic” and “realistic”. Insects can kill people, but they also create jobs that feed millions. He asked the question: if insects were not present on the planet, how would humans live when the earth was filled with dead animals and plants; when the fruit is not pollinated… Sad because Vietnam is wasting gold mines Prof. Dr. Bui Cong Hien said, when studying insects, he discovered that many people call insects “insects” implying that insects are harmful species. Insects are “guilty” to humans. But that makes up less than 1% of the more than 1 million species. In fact, we are “a worm that upsets the whole pot of insect soup”. Prof. Dr. Bui Cong Hien said, we don’t know how to mine gold from insects. He said that insects bring 10 benefits to nature and 15 benefits to humans such as making food, beautifying, improving soil, pollinating plants… Especially Vietnam is a country with high biodiversity, with a large number of insects. However, we do not yet know how to mine gold from insects. Currently, according to GS.TS. Bui Cong Hien, in our country, the conservation and exploitation of insects, especially those in the wild, are rarely studied. “I had the opportunity to go through the market in Dien Bien, and saw the sale of worms and bees… I feel so sorry. Because people spontaneously exploiting insects have been both “victims” of poverty and backwardness, and “criminals” of biodiversity destruction”, he confided. “Why not research and help them breed these objects into farms to harvest and process valuable products like some countries have done. Why in many countries there are companies trading insects, but in Vietnam, they only sell at the market like hundreds of years ago. Earlier this year, the EU allowed the farming of mealworms (Tenebrio molitor) as food for humans, while in Vietnam only selling mealworms for ornamental birds,” he added. Plans at the age of 80 Currently, Prof. Dr. Bui Cong Hien has turned 80. However, he still cherishes many plans. The gallery made from insects in the past could not open for many reasons, but now he is still determined to do it. Nutritious nuggets from insects that he used to make successfully in the past, with recipes and designs available, he did not want to give up halfway. “I raised the issue with the Department of Culture, Tourism and Sports and the Bac Ninh Museum. In my opinion, besides traditional Dong Ho paintings, there should be Dong Ho paintings from butterfly wings to enrich folk paintings. Now I’m waiting for funding,” he revealed. The famous entomologist also said: Currently, he has researched and completed the process and technology of insect breeding, and the technology of making nutritious nuggets from insects. What he wishes is that there are businesses and entrepreneurs who realize the value of supporting insects, or invest in building a project to breed and exploit a few specific insect species. He said he is willing to transfer the technology. Invite readers to watch the video: Dangers of using weight loss foods online. Source: VTV24.

This is a turning point that helps Viettel improve its computing capacity to build and operate more complex artificial intelligence models in a short time, when the demand for computation increases sharply in both quantity and scale according to the target, By 2030, Vietnam will become a center of innovation and development of AI solutions and applications in the ASEAN region and around the world. Viettel is ready to take on the country’s big tasks on AI. Photo: VT The system invested by Viettel has the leading computing performance in Vietnam, reaching 20 PetaFlops (20 million billion calculations per second), helping to reduce machine learning training time by dozens of times. As a result, Viettel Cyber ​​Center can train many models at the same time, with high complexity. The system also trains for continuous model improvement, shortening the time it takes to improve the quality of AI models. The supercomputer invested by Viettel uses computational acceleration technologies, switching devices and synchronous software, similar to the technology of supercomputers in the Top 500 in the world. Putting the system into operation marks a new development step for Viettel in realizing the Decision on promulgating the national strategy on research, development and application of artificial intelligence by 2030, issued by the Prime Minister. issued last January. As a national security and defense enterprise, possessing the largest telecommunications and information technology infrastructure in the country, Viettel aims to play a key role in applying artificial intelligence in the field of military and defense, as well as other sectors. the field of ensuring data safety, network safety and security; urban management, social management and public administration, and areas of social life. Mr. Nguyen Dinh Chien – Deputy General Director of Viettel Group assessed: “Viettel is determined to invest in artificial intelligence, which is an important field to carry out its pioneering and key mission of creating a digital society. This investment will allow Viettel to unleash its creativity, attract leading AI experts, ready to take on the country’s big tasks in AI.” “The high-performance computing system will enable Viettel to create new revenue opportunities and be a global pioneer in the use of AI solutions.” Anish Pandey, ASEAN Regional Director of NVIDIA (World No. 1 Artificial Intelligence Computing Company) shared. AI application products researched and developed by Viettel: Viettel AI Open platform: Viettel AI platform is a diversified artificial intelligence technology platform pioneered, researched and developed by a team of engineers at Viettel Cyber ​​Center to promote the application of AI and create benefits for individuals. Individuals, organizations, and businesses, providing full tools for any digital transformation application that can be integrated to automate, improve user experience and optimize costs. www.viettelgroup.ai Monitoring information on the Internet – Reputa How to listen to information on the Internet every day? What do customers say about your product? What are your competitors doing? What is the upcoming trend? Reputa is a tool to listen to the market, support reputation monitoring and evaluate the effectiveness of communication and brand activities for individuals, organizations & businesses. Solutions to help customers manage brands, detect risky problems on the Internet, social networks. www.reputa.vn Customer authentication identifier – Viettel eKYC Viettel eKYC is a solution to identify customers electronically without face-to-face meetings thanks to the support of advanced technologies such as Customer Scoring, Computer Vision and Identification. Customer Profile (Customer Profiling) Vietnamese virtual assistant platform – Viettel Cyberbot Viettel Cyberbot (Callbot + Chatbot) is a Vietnamese virtual assistant platform, applying the best Vietnamese voice and conversation processing technologies today, helping Businesses and Governments build a call center system to interact with customers and people automatically. Viettel Cyberbot interacts friendly and natural with customers, helping businesses and governments to digitally transform and optimize customer care resources. Data Mining Platform – Viettel Data Mining Platform Viettel Data Mining Platform is a data mining platform developed with the aim of meeting the needs of integrating and digitizing huge amounts of data, helping businesses find and analyze problems in-depth, point out the current situation, predict predict the future, serve as a scientific basis to support decision-making in business strategies, optimize operations and explore new business models. Intelligent Traffic Monitoring – Viettel AI Camera for Transportation Viettel AI Camera is software that applies artificial intelligence technology in the field of computer vision to analyze and automatically process signals sent from traffic cameras. Thereby, solving traffic management problems, security and order in the city Security and safety monitoring – Viettel AI Camera for Safety The entry and exit management system uses artificial intelligence technology to recognize faces, identify identities and record the time of entry and exit of employees. This device compares the captured face image with the available face image in the database. From there, the device will automatically determine the working time and entry of employees.

The idea of ​​​​conquering Mars has been a dream of mankind for many years, this could be the first step towards realizing the dream of many science fiction scientists that is to explore outer space. Sending humans to another planet, even within the solar system, has the effect of reducing the risk of a global catastrophe that could destroy life, such as a large asteroid impact or nuclear war. Even in the future, the Red Planet could be an abundant source of resources. Obviously the ambition to travel to Mars is impressive, but there are many doubts and obstacles attached. Tech billionaire Elon Musk put forward the idea of ​​humans traveling to Mars on 1,000 rockets and creating land for 1 million inhabitants, this is clearly an extremely expensive and technologically difficult task. major barriers have been listed. First, Earth science has not yet been able to create spacecraft with the ability to send humans into distant space that is “immune” to deadly cosmic radiation. The solution to this problem could be to wrap lead plates, but that would increase the weight of the ship and reduce its carrying capacity. Engines for spaceships are now well beyond construction. Second, solar radiation is a big problem, the Red Planet is different from Earth in that it doesn’t have a magnetic field protecting it from ionizing radiation. Astronauts will have to hide in bases hidden deep below the surface, not be able to walk freely on the surface. Third, Mars is cold and has no atmosphere, but the radiation background is 2.5 times higher than that of astronauts on the International Space Station ISS. It is impossible to live in such conditions without a special space suit. There are many other problems as well, but it is clear that expanding space into outer space requires accumulation and huge investments in technology. Before this fact, scientists expressed doubts about Elon Musk’s initiative, when he proposed to carry out bombardments with thermonuclear warheads at both poles of the Red Planet. A “fusion attack” would cause glaciers to melt, forming liquid water and releasing greenhouse gases, which help create the atmosphere on Mars. Then the “reclaimers” could walk around without a spacesuit. But mathematician Robert Walker calculates that to carry out the first part of the plan requires at least 1 million nuclear bombs with an explosive yield of 100 Megatons, must be assembled on Mars 3,500 a day for 7 weeks to achieve desired results. There are no such large numbers of nuclear weapons on Earth, and the lack of means to deliver them to another planet, is the first hurdle. CO2 reserves on Mars would not be enough to create a suitable atmosphere, even if the first problem were solved. Since the Red Planet does not have a magnetic field, solar radiation will gradually “suck” the gas that has already formed, which is the second barrier. Finally, Elon Musk does not take into account that after many nuclear explosions, the surface of the planet will be radioactive for a long time, people cannot walk with oxygen masks and plant trees. Elon Musk’s initiative is clearly impractical and perhaps the billionaire himself understands this, but what is his meaning. The head of Russia’s state space corporation Roscosmos – Mr. Dmitry Rogozin made a remarkable remark. “Anyone calling for the reclamation of Mars or other planets is well aware that this is just an excuse for launching nuclear weapons into space for military purposes on Earth.” “It’s true, you can’t just put nuclear warheads on Mars. They need to first be put into orbit and assembled somewhere with the means to send them in large batches.” “Assuming an orbital station being built by the US and its allies will be tailored to target China and Russia. Will nuclear warheads reach the Red Planet then? “It is no secret that Elon Musk is working closely with the Pentagon on the space and satellite program. So why not experiment with the best cause of Mars exploration, to advocate for the idea of ​​​​putting US nuclear weapons in space,” concluded Mr. Rogozin.