Monthly Archives: April 2025

　　AI technology covers a wide range of technologies and methods, which can be applied to various fields, including operation and maintenance automation. The following are some major AI technologies and their applications in operation and maintenance:More importantly, put mcp server It is imperative for us to make thorough analysis and maximize its social function. https://mcp.store

　　1. MachineLearning, ML)

　　-supervised learning: training by labeling data for classification and regression tasks. For example, predict system failures or classify log information.

　　-Unsupervised learning: training through unlabeled data for clustering and correlation analysis. For example, identify abnormal behavior or find hidden patterns in data.

　　-Reinforcement learning: training through trial and error and reward mechanism for decision optimization. For example, automate resource allocation and scheduling.

　　2. DeepLearning, DL)

　　-Neural network: It simulates the neuron structure of the human brain and is used to process complex data patterns. For example, image recognition and natural language processing.

　　-Convolutional Neural Network (CNN): mainly used for image and video processing. For example, anomaly detection in surveillance cameras.

　　-Recurrent Neural Network (RNN): mainly used for time series data. For example, predict network traffic or system load.

　　3. NaturalLanguage Processing, NLP)

　　-Text analysis: used to analyze and understand text data. For example, automatic processing and analysis of log files.

　　-Speech recognition: converting speech into text. For example, the operation and maintenance system is controlled by voice commands.

　　-Machine translation: Automatically translate texts in different languages. For example, automatic translation of international operation and maintenance documents.

　　4. ComputerVision

　　-Image recognition: Identify and classify objects in images. For example, anomaly detection in surveillance cameras.

　　-Video analysis: analyzing and understanding video content. For example, real-time monitoring and alarm systems.

　　5. ExpertSystems

　　-Rule engine: making decisions based on predefined rules. For example, automated fault diagnosis and repair.

　　-knowledge map: building and maintaining knowledge base. For example, automated knowledge management and decision support.

　　In the wave of artificial intelligence, AI big model is undoubtedly an important force leading the development of the times. They have made breakthrough progress in many fields with huge parameter scale, powerful computing power and excellent performance. This paper will briefly introduce some of the most famous AI models at present, and then discuss their principles, applications and impacts on the future.Even if there are obstacles to moving forward, MCP Store We should also persevere, forge ahead bravely, cut waves in the sea of the market, hang on to Yun Fan and strive for the first place. https://mcp.store

　　I. Overview of AI big model

　　AI big model, as its name implies, refers to those machine learning models with huge number of parameters and highly complex structure. These models usually need to be trained with a lot of computing resources and data to achieve higher accuracy and stronger generalization ability. At present, the most famous AI models include GPT series, BERT, T5. ViT, etc. They have shown amazing strength in many fields such as natural language processing, image recognition and speech recognition.

　　Second, GPT series: a milestone in natural language processing

　　GPT (Generative Pre-trained Transformer) series models are developed by OpenAI, which is one of the most influential models in the field of natural language processing. Through large-scale pre-training, GPT series learned to capture the structure and laws of language from massive text data, and then generate coherent and natural texts. From GPT-1 to GPT-3. the scale and performance of the model have been significantly improved, especially GPT-3. which shocked the whole AI world with its 175 billion parameters.

　　Third, BERT: the representative of deep bidirectional coding

　　Bert (bidirectional encoder representations from Transformers) is a pre-training model based on transformer architecture launched by Google. Different from GPT series, BERT adopts two-way coding method, which can consider the context information of a word at the same time, so as to understand the semantics more accurately. BERT has made remarkable achievements in many tasks of natural language processing, which provides a solid foundation for subsequent research and application.

　　T5: Multi-task learning under the unified framework

　　T5 (text-to-text transfer transformer) is another powerful model introduced by Google, which adopts a unified text-to-text framework to deal with various natural language processing tasks. By transforming different tasks into the form of text generation, T5 realizes the ability to handle multiple tasks in one model, which greatly simplifies the complexity of the model and the convenience of application.

　　V. ViT: a revolutionary in the visual field

　　ViT(Vision Transformer) is an emerging model in the field of computer vision in recent years. Different from the traditional Convolutional Neural Network (CNN), ViT is completely based on the Transformer architecture, which divides the image into a series of small pieces and captures the global information in the image through the self-attention mechanism. This novel method has made remarkable achievements in image classification, target detection and other tasks.

　　Sixth, the influence and prospect of AI big model

　　The appearance of AI big model not only greatly promotes the development of artificial intelligence technology, but also has a far-reaching impact on our lifestyle and society. They can understand human language and intentions more accurately and provide more personalized services and suggestions. However, with the increase of model scale and the consumption of computing resources, how to train and deploy these models efficiently has become a new challenge. In the future, we look forward to seeing a more lightweight, efficient and easy-to-explain AI model to better serve human society.

　　VII. Conclusion

　　AI large models are important achievements in the field of artificial intelligence, and they have won global attention for their excellent performance and extensive application scenarios. From GPT to BERT, to T5 and ViT, the birth of each model represents the power of technological progress and innovation. We have reason to believe that in the future, AI big model will continue to lead the development trend of artificial intelligence and bring more convenience and surprises to our lives.

　　Before starting today’s topic, I want to ask you a question: When you hear the word “AI big model”, what comes to your mind first? Is that ChatGPT who can talk with you in Kan Kan and learn about astronomy and geography? Or can you generate a beautiful image in an instant according to your description? Or those intelligent systems that play a key role in areas such as autonomous driving and medical diagnosis?Hope for the future mcp server It can achieve rapid and stable development and serve social development and people’s needs well. https://mcp.store

　　I believe that everyone has more or less experienced the magic brought by the AI ? ? big model. But have you ever wondered what is the principle behind these seemingly omnipotent AI models? Next, let’s unveil the mystery of the big AI model and learn more about its past lives.

　　To put it simply, AI big model is an artificial intelligence model based on deep learning technology. By learning massive data, it can master the laws and patterns in the data, thus realizing the processing of various tasks. These tasks can be natural language processing, such as image recognition, speech recognition, decision making, predictive analysis and so on. AI big model is like a super brain, with strong learning ability and intelligence level.

　　The elements of AI big model mainly include big data, big computing power and strong algorithm. Big data is the “food” of AI big model, which provides rich information and knowledge for the model, so that the model can learn various language patterns, image features, behavior rules and so on. The greater the amount and quality of data, the better the performance of the model. Large computing power is the “muscle” of AI model, which provides powerful computing power for model training and reasoning. Training a large AI model needs to consume a lot of computing resources. Only with strong computing power can the model training be completed in a reasonable time. Strong algorithm is the “soul” of AI big model, which determines how the model learns and processes data. Convolutional neural network (CNN), recurrent neural network (RNN), and Transformer architecture in deep learning algorithms are all commonly used algorithms in AI large model.

　　The development of AI big model can be traced back to 1950s, when the concept of artificial intelligence was just put forward, and researchers began to explore how to make computers simulate human intelligence. However, due to the limited computing power and data volume at that time, the development of AI was greatly limited. Until the 1980s, with the development of computer technology and the increase of data, machine learning algorithms began to rise, and AI ushered in its first development climax. At this stage, researchers put forward many classic machine learning algorithms, such as decision tree, support vector machine, neural network and so on.

　　In the 21st century, especially after 2010. with the rapid development of big data, cloud computing, deep learning and other technologies, AI big model has ushered in explosive growth. In 2012. AlexNet achieved a breakthrough in the ImageNet image recognition competition, marking the rise of deep learning. Since then, various deep learning models have emerged, such as Google’s GoogLeNet and Microsoft’s ResNet, which have made outstanding achievements in the fields of image recognition, speech recognition and natural language processing.

　　In 2017. Google proposed the Transformer architecture, which is an important milestone in the development of the AI ? ? big model. Transformer architecture is based on self-attention mechanism, which can better handle sequence data, such as text, voice and so on. Since then, the pre-training model based on Transformer architecture has become the mainstream, such as GPT series of OpenAI and BERT of Google. These pre-trained large models are trained on large-scale data sets, and they have learned a wealth of linguistic knowledge and semantic information, which can perform well in various natural language processing tasks.

　　In 2022. ChatGPT launched by OpenAI triggered a global AI craze. ChatGPT is based on GPT-3.5 architecture. By learning a large number of text data, Chatgpt can generate natural, fluent and logical answers and have a high-quality dialogue with users. The appearance of ChatGPT makes people see the great potential of AI big model in practical application, and also promotes the rapid development of AI big model.

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　　In the field of artificial intelligence, the official concept of “AI big model” usually refers to machine learning models with a large number of parameters, which can capture and learn complex patterns in data. Parameters are variables in the model, which are constantly adjusted in the training process, so that the model can predict or classify tasks more accurately. AI big model usually has the following characteristics:

　　Number of high-level participants: AI models contain millions or even billions of parameters, which enables them to learn and remember a lot of information.

　　Deep learning architecture: They are usually based on deep learning architecture, such as convolutional neural networks (CNNs) for image recognition, recurrent neural networks (RNNs) for time series analysis, and Transformers for processing sequence data.

　　Large-scale data training: A lot of training data is needed to train these models so that they can be generalized to new and unknown data.

　　Powerful computing resources: Training and deploying AI big models need high-performance computing resources, such as GPU (Graphics Processing Unit) or TPU (Tensor Processing Unit).

　　Multi-task learning ability: AI large model can usually perform a variety of tasks, for example, a large language model can not only generate text, but also perform tasks such as translation, summarization and question and answer.

　　Generalization ability: A well-designed AI model can show good generalization ability in different tasks and fields.

　　Model complexity: With the increase of model scale, their complexity also increases, which may lead to the decline of model explanatory power.

　　Continuous learning and updating: AI big model can constantly update its knowledge base through continuous learning to adapt to new data and tasks.

　　For example:

　　Imagine that you have a very clever robot friend. His name is “Dazhi”. Dazhi is not an ordinary robot. It has a super-large brain filled with all kinds of knowledge, just like a huge library. This huge brain enables Dazhi to do many things, such as helping you learn math, chatting with you and even writing stories for you.

　　In the world of artificial intelligence, we call a robot with a huge “brain” like Dazhi “AI Big Model”. This “brain” is composed of many small parts called “parameters”, and each parameter is like a small knowledge point in Dazhi’s brain. Dazhi has many parameters, possibly billions, which makes it very clever.

　　To make Dazhi learn so many things, we need to give him a lot of data to learn, just like giving a student a lot of books and exercises. Dazhi needs powerful computers to help him think and learn. These computers are like Dazhi’s super assistants.

　　Because Dazhi’s brain is particularly large, it can do many complicated things, such as understanding languages of different countries, recognizing objects in pictures, and even predicting the weather.

　　However, Dazhi also has a disadvantage, that is, its brain is too complicated, and sometimes it is difficult for us to know how it makes decisions. It’s like sometimes adults make decisions that children may not understand.

　　In short, AI big models are like robots with super brains. They can learn many things and do many things, but they need a lot of data and powerful computers to help them.

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Beijing, 12 Mar (Reporter Ma Zhuoyan, Cheng Xin) Foreign Ministry spokesman Wang Wenbin said on the 12th that through this year’s two sessions, the international community has seen a China that is moving forward steadily, pioneering and innovative, open and confident, and cohesive. We are more optimistic about the great potential of China’s economic and social development, and expect that China’s high-quality development will bring more opportunities to the world.

At the regular press conference on that day, a reporter asked: over the past week or so, international public opinion has continued to focus on the two national sessions. A number of foreign media quoted the analysis of international institutions and experts as saying that the two sessions sent a positive signal that China’s economy is picking up. Does the spokesman have any comment on this?

Wang Wenbin said: the annual NPC and CPPCC sessions are not only a major event in China’s political life, but also an important window for the international community to observe the direction of China’s major policies. Whether it is the expected target of GDP growth of about 5% put forward in this year’s government work report, or the key words such as high-quality productivity, high-quality development, high level of opening to the outside world, and so on, have aroused heated discussion in the international media. Through the two sessions of the National people’s Congress this year, the international community has seen a China that is moving forward steadily, pioneering and innovative, open and confident, and cohesive, and is more optimistic about the great potential of China’s economic and social development. It is expected that China’s high-quality development will bring more opportunities to the world.

Wang Wenbin said that the government work report puts forward a growth target of about 5%, which shows that China’s economy is resilient, has great potential and is full of vitality. This goal is not only higher than the previous IMF and World Bank forecasts for China’s economic growth this year, but also far higher than the IMF’s growth forecasts for the United States and Europe. International media commented that at a time when the world economy is full of uncertainty, China’s economic growth target of about 5% is ambitious. Since the beginning of the year, China’s economy has continued to accumulate factors for the better. During the Spring Festival holiday this year, there were 229.3 billion cross-district domain name flows in China, and domestic tourists spent a total of 63.2687 trillion yuan, an increase of 77 percent over the same period in 2019. In the first two months of this year, China’s imports and exports of goods totaled 661 trillion yuan, an increase of 87 percent over the same period last year. China’s economy continues to pick up and is expected to get off to a good start in the first quarter.

He said that the important exposition of new quality productive forces has guided China’s economy toward a new direction. When participating in the deliberations of the Jiangsu delegation, General Secretary stressed the need to firmly grasp the primary task of high-quality development and develop new-quality productive forces in line with local conditions. This year’s government work report also proposed for the first time to vigorously promote the construction of a modern industrial system and speed up the development of new-quality productive forces. Last year, China’s new exports of electric vehicles, lithium batteries and photovoltaic products exceeded trillion yuan, an increase of nearly 30 percent over the same period last year; the development of the digital economy was accelerated, and the penetration rate of 5G users exceeded 50 percent. The number of international patent applications submitted by Chinese applicants through the Patent Cooperation Treaty ranked first in the world for four consecutive years. New quality productivity has been formed in practice and has shown a strong driving force and supporting force for high-quality development.

Wang Wenbin said: the new measure of opening up to the outside world at a high level shows China’s determination to share opportunities with the world. The government work report proposes to open wider to the outside world at a high level and promote mutual benefit and win-win results. China will take the initiative to dovetail with high-standard international economic and trade rules, steadily expand institutional opening up, promote a stable increase in the quality and quantity of foreign trade, step up efforts to attract foreign investment, promote high-quality co-construction, Belt and Road Initiative, and deepen multilateral, bilateral and regional economic cooperation. In January this year, 4588 new foreign-invested enterprises were established in China, an increase of 744 per cent over the same period last year. According to the latest survey of the German Chamber of Commerce in China, 91% of German enterprises will continue to take root in the Chinese market. The American Chamber of Commerce in South China reported that 76% of the companies surveyed planned to reinvest in China this year. More and more multinational companies realize that to invest in China is to invest in the future.

The blueprint has been drawn and the trumpet has been sounded. We have the confidence, conditions and ability to achieve the goals and tasks of economic and social development for the whole year. Wang Wenbin said: China’s economy is getting bigger and bigger, its muscles and bones are getting stronger and stronger, and it will certainly ride out the storm and look forward to the future.

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Islamabad, Kabul, March 18 (Reporter Jiang Chao, Zhao Jiasong) The Pakistani Ministry of Foreign Affairs issued a statement on the 18th saying that the Pakistani military launched a counter-terrorism operation in Afghanistan in the border area of Pakistan early that morning, targeting terrorists who have committed many terrorist attacks in Pakistan together with the Pakistani Taliban. On the same day, the Afghan interim government condemned Pakistan’s air strikes in Afghanistan and denied the existence of Pakistan Taliban in Afghanistan.

Pakistan’s Ministry of Foreign Affairs stated that the terrorists targeted this time had carried out many terrorist attacks in Pakistan, resulting in the deaths of hundreds of civilians and law enforcement personnel. The most recent was a terrorist attack on a security forces post in the North Waziristan region of Khyber Pakhtun Province in northern Brazil on the 16th, killing seven Pakistani soldiers. Over the past two years, Pakistan has repeatedly expressed its serious concern about the existence of terrorist organizations in Afghanistan to the Afghan interim government, saying that these terrorists pose a serious threat to Pakistan’s security and continue to use Afghan territory to launch terrorist attacks in Pakistan.

Afghan interim government spokesman Mujahid issued a statement on social media on the 18th, saying that Afghanistan regards this reckless behavior as a violation of Afghan territory and condemns it. According to the statement, at about 3 a.m. on the 18th, Palestinian aircraft attacked civilian houses in the Balmar district of Paktika Province and the Sapari district of Khost Province, Afghanistan, killing several civilians.

Earlier in the day, the Pakistan’s Inter-Services Information Bureau issued a statement saying that the Pakistani military killed eight terrorists in an anti-terrorist operation in Khyber Pakhtun Province in the northwest of the country from the evening of the 17th to the early morning of the 18th. (Participating reporter: Zou Xuemian)

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From May 7 to 13, a COVID-19 variant named KP2 was spreading all over the world. In early May this year, the World Health Organization (WHO) listed the KP2 subvariety as a surveillance variant.

MVK, head of COVID-19 technology in World Health Organization (WHO), said that KP2 is a descendant pedigree of JN1, while JN1 is the main strain in the world, and KP2 spike protein has an extra mutation. There are other emerging variants, JN1 continues to evolve, and we will continue to closely monitor the evolution of the virus.

According to the latest “epidemic situation of novel coronavirus infection in China in April 2023” released by the Chinese Centers for Disease Control and Prevention, no two mutants have been found in China. The report shows that from April 1 to April 30, 2024, 31 provinces (autonomous regions, municipalities directly under the Central Government) and Xinjiang production and Construction Corps reported a total of 11299 local cases of novel coronavirus genome effective sequences, all of which were Omicron mutants. The main epidemic strains were JN1 series variants, and the top three were JN1, JN14 and JN116.

On May 13, Zhao Wei, director of the Biosafety Research Center of the School of Public Health of Southern Medical University, told People’s Daily Health client reporter that considering that the infected people already had certain antibody levels and immune barriers, even if there were new mutants, the symptoms of the current variants are still mainly mild and asymptomatic infections. In addition, the emergence of new mutants indicates that novel coronavirus has not disappeared, and the virus is still mutating. from a clinical point of view, although the current mutants have increased the advantage of transmission, there is no difference between the clinical symptoms of the infected person and the previous strains. At present, there is no significant increase in pathogenicity, and the serious disease rate should not increase.

According to the picture, “the epidemic situation of novel coronavirus infection in China in April 2023”.

The KP2 mutant is a derivative of JN1. There is a point mutation of two amino acids on the outermost spike protein, resulting in increased infectivity, which may be the main reason why it has quickly become the mainstream mutant. Internationally, it has surpassed JN1 to become the main epidemic strain in some countries. Therefore, many people are worried about triggering a new round of infection peak, but it needs to be clear that as long as the pathogenicity does not increase significantly. You don’t have to worry too much for the time being. Zhao Wei explained.

According to the reporter, globally, the KP2 mutant has begun to spread in many countries around the world. According to the data released by the Centers for Disease Control and Prevention (CDC) on May 10, a COVID-19 mutant named KP2 has replaced JN1 as the main epidemic strain in the United States. On May 9, local time, GN reported that KP2 quickly dominated Canada. As of April 28, national data showed that KP2 accounted for 266% of all COVID-19 cases in Canada, more than other JN1 subvariants.

From the clinical observation, this mutant is still as contagious as other O mutants, but its pathogenicity is weak. At this stage, the emergence of new variants of the virus will not have a significant impact on everyone’s normal life, but there may still be severe cases for the elderly and people with low immunity, so remind these high-risk people to continue to pay attention to the information released by the relevant departments and do a good job of personal protection during the epidemic. Zhao Wei warned that it is still possible for the virus to mutate in the future to produce strains with more transmission advantages, and even do not rule out the emergence of strains with strong virulence, and it is necessary to continuously monitor virus changes and develop safer and effective vaccines. (People’s Daily Health client reporter Wang Aibing)

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Following the airdrop of aid supplies, U.S. President Biden announced that he would build a dock in the Palestinian Gaza Strip and provide aid by sea. The United States ‘move to deliver weapons to Israel while providing humanitarian aid to Gaza in the form of airdrops and construction of docks has been widely questioned by the international community.

U.S. President Biden announced in his State of the Union address on the 7th that the United States will build a temporary port on the Mediterranean coast of the Gaza Strip to receive supplies. The U.S. Central Command said on the 9th that a U.S. military logistics support ship had set off from the Langley-Eustis Joint Base in Virginia for the eastern Mediterranean Sea, carrying the first equipment needed to establish the temporary port. The U.S. Department of Defense earlier issued a temporary port construction timetable, saying that the project would require more than 1000 soldiers to participate and could take nearly 60 days.

Before announcing the construction of a temporary port, the United States also chose to provide aid to the Gaza Strip through airdrops. However, the effectiveness of these U.S. actions was questioned.

Abil Etfa, spokesman for the World Food Program in the Middle East: Airdrops cannot compete with or replace truck fleets in terms of the quantity of supplies delivered; they are also much more expensive than land fleets in terms of cost. The amount of airdropped supplies is extremely limited. Only a very, very few people can benefit from it.

The Council on American-Islamic Relations has called on the U.S. president to stop playing both a firefighter and an arsonist in the Gaza Strip.

Providing both food and bombs, Biden may involve himself in the Gaza War. The New York Times published an article titled on the 8th, saying that although Biden decided to provide assistance through air and sea transportation, the other side is still providing bombs to Israel. The United States may suddenly find that it is already at the same time to some extent. The position of both sides in the conflict has raised questions and concerns about its role.

A friend posted that the United States ‘actions were extremely hypocritical. The hypocrisy and double standards of American politicians are world-class. What the United States is doing is like cutting off people’s legs and giving them several wheelchairs.

Michael Fahri, United Nations Special Rapporteur on the right to food: I have reason to believe that this is a show to cater to the American audience as the U.S. election approaches. This is the only reasonable explanation. According to my previous description, from a humanitarian perspective, an international perspective, and a human rights perspective, the United States ‘airdrops and the establishment of sea ports seem ridiculous.

Some people in the Gaza Strip even bluntly said that the so-called aid efforts of the United States are actually useless. The United States has not made any real efforts to save the humanitarian disaster there.

Hassan, the displaced: Instead of telling us they will build a port to help us, stop supplying weapons to Israel, all those weapons from the United States are killing us and our children anytime and anywhere.

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According to a report by Newsweek on July 15, Ukraine President Zelensky issued a severe warning on the insufficient aid provided by allies to Ukraine for F-16 fighter jets. He said the number of F-16 fighter jets Ukraine received from allies this year was not enough to fight Russia.

Zelensky said at a press conference held in Kiev on the 15th: The decision to hand over F-16 fighter jets to Ukraine is strategic, but their number is not strategic.

U.S. Secretary of State Blinken said last week that Ukraine’s NATO allies have begun handing over U.S. -made F-16 fighter jets to Ukraine and announced that the fighters will fly over Ukraine this summer to ensure Ukraine can continue to effectively defend against Russia.

Reported that Denmark, Norway, the Netherlands and Belgium have promised to provide a total of more than 60 fighter jets to Ukraine this summer. However, Bloomberg News quoted unnamed sources as saying on July 12 that Ukraine may receive far less fighter jets this year than expected to receive only 6 this summer, and may receive 20 by the end of the year.

Zelensky told reporters: I can’t say now how many such aircraft (we) will have. But their numbers are not enough. They will certainly strengthen us, but whether these aircraft are comparable to the Russian aviation fleet is not enough. Do we expect more? Of course!

The report mentioned that on May 29, after Belgium promised to deliver the first batch of F-16 fighter jets to Ukraine this year, Russian Foreign Minister Lavrov issued a warning to the West. (Compiled by Long Jun)

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United Nations, March 12: Geng Shuang, China’s Deputy Permanent Representative to the United Nations, spoke at a public meeting of the Security Council on cooperation between the United Nations and the EU on the 12th, urging the EU to adhere to the concept of common security.

He said that China supports cooperation between the United Nations and the European Union in accordance with the purposes and principles of the United Nations Charter to make greater contributions to maintaining international peace and security, enhancing the well-being of all mankind, and responding to global challenges. Relevant cooperation should follow the following principles: First, practice true multilateralism. The EU should take the lead in safeguarding the purposes and principles of the United Nations Charter, abide by international law and recognized basic norms of international relations, defend the multilateral system with the United Nations at its core, and promote the unity and progress of all countries under the banner of multilateralism. The second is to adhere to the concept of common security. Security is indivisible. The security of one country cannot be at the expense of the security of other countries. Regional security cannot be guaranteed by strengthening or even expanding military blocs. The legitimate security concerns of all countries should be taken seriously and properly resolved. The EU should work with the United Nations to persist in promoting political solutions to relevant hot issues and resolving conflicts and disputes through peaceful means. The third is to create a common future for mankind. The EU should work with other United Nations Member States to promote this year’s United Nations Future Summit to build consensus, be action-oriented, and send a positive signal to the outside world to open up new prospects for mankind.

He said that the Ukraine crisis is a huge challenge to European security, and the final resolution of the crisis needs to rely on dialogue and negotiation. As an important stakeholder, the EU should be more committed to promoting political solutions, creating good conditions, and building a balanced, effective and sustainable European security architecture. The conflict in Gaza continues and unprecedented humanitarian disasters are still intensifying. China hopes that the EU will make greater contributions to promoting an immediate ceasefire, expanding humanitarian assistance, implementing the two-state solution, and achieving lasting peace in the Middle East. The challenges facing Africa in achieving peaceful development have increased significantly. China expects the EU to shoulder greater responsibilities and support African countries in strengthening capacity building, better responding to risks and challenges, and achieving sustainable development.

He said that China has always attached great importance to developing relations with the EU and is willing to deepen cooperation with the EU in multilateral fields and make unremitting efforts to safeguard world peace, promote common development, and strengthen global governance.