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On December 3rd, the Youth Badminton International Challenge held in South Korea ended, and the China Badminton Team achieved gratifying results.

This competition is divided into four age groups, namely U19, U17, U15 and U13. Among them, the China Badminton Team only participated in the competition of U19 age group.

Happily, China U19 badminton players joined the finals of men’s singles, men’s doubles, women’s doubles and mixed doubles, and won the first and second place in these four events.

In the final, Wang Zijun 2-1 Pan Yinlong won the men’s singles championship; Hu Keyuan/Lin Xiangyi 2-0 Chen Yongrui/Chen Zhehan won the men’s doubles championship; Chen Fanshu/Jiang Peixi 2-0 Liao Lizhen/Liu Yuanyuan won the women’s doubles championship; Hu Keyuan/Liu Jiayue 2-1 Lin Xiangyi/Liu Yuanyuan won the mixed doubles championship. Among them, Hu Keyuan won two championships and Liu Yuanyuan won two runner-ups.

However, U19 is also the epitome of the adult team. An Xiying, the women’s singles player of South Korea’s adult team, dominated the world in 2023. In U19 team, the women’s singles player of South Korea still dominated, and their Kim Min-hyun 2-1 Japanese player Yasukawa Shachuan won the women’s singles championship.

For the China Badminton Team, the problem of how to beat An Xiying has still not been solved. U19 players also lost to South Korean players, which means that it is impossible to defeat An Xiying by promoting young people.

In other age groups, the winners are basically Korean, Japanese and China Taipei players.

On December 5th, tongji hospital Junshan Campus was officially opened, which indicated that Chegu in China had taken another important step in promoting the development of health care, and the residents of Junshan New Town had another "home-front" hospital. It is a great concern of the people to get medical treatment, and it is also an important embodiment of improving social security, and it is also an urgent requirement to comprehensively promote the construction of a healthy China. Taking the construction of a close medical community as a breakthrough, accelerating the expansion and balanced distribution of regional high-quality medical and health resources, continuously pushing down the center of gravity and sinking resources, building a high-quality and efficient medical and health service system, and creating a "15-minute medical circle" are important measures to open up the "last mile" of primary medical services and improve people’s sense of access and satisfaction.

Construct a medical and health service system linked up and down. With the rapid progress in the construction of medical and health service facilities in China, how to maximize the efficiency of medical resource allocation has become a new topic. It is necessary to take large public hospitals as the "leader" and the construction of "medical association" as the core, build a specialist alliance, realize the interstitial evaluation of laboratory rooms in the medical association, mutual recognition of results, and the teaching of experts’ clinical rounds, so as to improve the allocation and utilization efficiency of medical resources. Accelerate the integration of family doctor team services into various community grids, and gradually realize the medical treatment mode of "seeking family doctors for minor illnesses and referring seriously ill patients to higher-level hospitals", so that data can run more, patients can run less, and a "15-minute medical circle" can be created to provide integrated and continuous health services for the masses.

Promote high-quality medical resources to benefit the grassroots. Looking forward to better medical conditions is an important part of people’s yearning for a better life. It is necessary to accelerate the orderly expansion and balanced distribution of high-quality medical resources, continue to push down the center of gravity and sink resources, and continuously improve the fairness and accessibility of basic medical and health services. Improve the grading diagnosis and treatment system, take online, offline and telemedicine as the carrier, train and guide local medical staff to improve the level and efficiency of diagnosis and treatment, provide assistance and agency services for people in need, improve the ability of diagnosis and treatment at the grassroots level, improve the patient’s medical experience, and enhance the attractiveness of primary medical and health institutions to patients, so as to achieve the goal of leaving the diagnosis and treatment of minor diseases, chronic diseases and common diseases at the grassroots level and gradually realize the full coverage of primary health services.

Strengthen the training of medical and health personnel. The key to further improve the quality of primary health services lies in attracting and retaining talents. Report to the 20th CPC National Congress, the Communist Party of China, proposed to develop and strengthen the medical and health team, with the focus on rural areas and communities. It is necessary to strengthen the construction of grassroots medical and health teams and strengthen the training and equipment of grassroots medical and health personnel with general practitioners as the focus. Constantly improve the career development mechanism of medical and health personnel, improve the incentive mechanism, implement the corresponding social security benefits, improve the medical environment and conditions, so that more talents can stay and stay, change "blood transfusion" into "hematopoiesis", stimulate the vitality of primary medical and health institutions, and let residents enjoy quality and convenient health services at their doorstep.

Source: Jingchu. com (Hubei Daily)

Author: Ren Yang (Wuhan Economic Development Zone)

Editor: Wang Shuxian

Recently, the game industry has been warm and windy.

As the weather vane of the industry, the 2022 China Game Industry Annual Conference was held in Huangpu. The protection of minors in games has entered a new chapter, the long-term trend of going to sea has not changed, the value of games has been re-evaluated, and the game technology has brought resonance effect ………………………………………………………………………………………………………………

What are the possibilities of the game industry in 2023?

For the game industry, 2022 is difficult: whether the overall economic downturn, players’ willingness to pay, lack of capital confidence, and cold investment and financing, it has brought a lot of impact to the industry: many game projects have been dissolved or stopped, and the wave of layoffs has swept again.

The data shows that the domestic market sales revenue and user scale, self-developed game sales revenue and mobile game sales revenue all decreased year-on-year. After the obvious slowdown in 2021, the game user scale declined for the first time in the past 10 years, and the industrial development entered the era of stock market. "China’s game industry is in the stage of pressure storage", aiming at the game industry in 2022, "China Game Industry Report 2022" concluded.

* Actual sales revenue of China game market. Source: China Game Industry Report in 2022.

* The scale and growth rate of game users in China. Source: China Game Industry Report 2022.

However, despite the bleak data of the game industry in 2022, industry practitioners are still full of hope for the future. As Hong Xiao, CEO of Perfect World, said at the 2022 China Game Industry Annual Conference, "Many people feel quite pessimistic after reading the industry data in 2022, but no one said this word."

Recently, the 2022 China Game Industry Annual Conference was held in Huangpu, Guangzhou. According to Zhang Yijun, the first vice chairman of China Audio-visual and Digital Publishing Association, the number of participants exceeded 2,700, almost double that of previous years, and the scene was packed. He pointed out, "Through the current situation, we can feel what kind of development trend is in 2023. If everyone in this industry does not see hope and opportunities, this situation will not be formed." At the meeting, Gao Dawei, deputy general manager of Tencent’s digital public opinion department, also said with emotion, "Walking through various forums, I felt a surging enthusiasm, as if I heard the sound of the game super engine starting and roaring again."

After the "cold" 2022, major game companies have more expectations for 2023. "The bad news is exhausted, bottoming out", Tan Yanfeng, vice president of Shengqu Games, summed up his outlook for the future of the industry in eight words; Hong Xiao, CEO of Perfect World, pointed out that the game industry has entered the next stage, and there are still many values worthy of being dug deep by practitioners; Wu Shenghe, CEO of Zulong Entertainment, said that with the release of the version number, many game masterpieces are ready to go, and this year will be a year of fierce competition.

According to statistics, since the resumption of version number distribution last year, more than 180 domestic game version numbers have been distributed in two batches this year. In addition to large enterprises such as Tencent and Netease, many small and medium-sized manufacturers have also gained something. Among them, many game companies that have got the version number are eager to try, and are ready to make great efforts this year. For example, Tencent, which got the version number in January this year, has announced that it will set a file in February, and the number of reserved users in the whole network has exceeded 70 million; Netease survival shooting mobile game "Extraordinary Pioneer" started the "prism test" in January; Mihayou’s new work "Collapse: Xingyuan Railway" has also been opened for paid testing recently and is expected to go online in April; Zulong Entertainment’s new version of the love women game "In the Name of Shining" is also planned to be launched in China in the first half of the year …

In addition, the 2022 China Game Industry Report also revealed a more positive signal, "The game industry is expected to rebound after bottoming out from industry resources to users’ willingness and ability to consume.",and pointed out that insisting on high-quality and high-quality development, deepening the subdivision and differentiation of the track, and paying more attention to the user experience will become the focus of China’s game industry to break through the predicament and develop healthily.

In recent years, with the shrinking of the "blue ocean" of the domestic game market, going out has become a "compulsory question" for game companies. More and more companies take going out to sea as their key development strategy, and the number of game products going out to sea is increasing and the area of going out to sea is expanding.

At the same time, the achievements of domestic game companies in overseas markets are obvious to all. According to the data, in 2022, the actual sales revenue of China’s self-developed games in overseas markets was 17.346 billion US dollars, which was more than 4 times higher than that of 3.076 billion in 2014. According to Zhang Yijun, the first vice chairman of China Audio-visual and Digital Publishing Association and chairman of the Game Working Committee, the overseas income of self-developed games has exceeded 10 billion US dollars for four consecutive years, and it can also account for about one-third of the domestic market income. Such achievements show that domestic enterprises are doing well overseas, which is recognized by real money.

* Actual sales revenue and growth rate of China’s self-developed games in overseas markets. Source: China Game Industry Report 2022.

However, since 2022, the external unstable factors faced by games going out to sea have increased, such as changes in the international environment, changes in overseas laws and policies, overseas channels, and overseas tax issues. In the context of the decline in the scale of the global game market, the actual sales revenue of China’s self-developed games in overseas markets also declined for the first time in 2018, down 3.7% year-on-year. At the same time, as more and more domestic manufacturers flock to the sea track, the competition for going to sea becomes more and more fierce, the cost of buying continues to rise, the profit rate decreases, and the overseas game market has also "rolled" from the blue ocean to the red sea.

However, "the choice of game going out is irreversible". In the increasingly crowded overseas market, how should domestic game manufacturers tap the new amount and find the second growth curve?

Ao Ran, executive vice president and secretary general of China Audio-visual and Digital Publishing Association, pointed out that although China’s game enterprises will face more or less challenges in the process of going out to sea in 2022, the long-term positive trend has not changed. China’s games still have room for development in overseas markets, and there are development opportunities in some new fields. On the one hand, the emerging game markets in the Middle East, Africa, Southeast Asia, Latin China and other regions have great development potential, which is expected to become the growth point of’s game going out to sea. On the other hand, there are development opportunities for games going out to sea on the sub-track of IP-adapted games, casual games and other game products.

In addition, keywords such as localization, content innovation and long-term operation were constantly mentioned at the game going to sea and marketing forum on the 13th. "Although going out to sea is already the Red Sea, there are many difficulties, but it is still a super market with billions of users, and opportunities are always there." Dong Bin, deputy general manager of Glacier Network, said that if you always make good products, make good experiences and improve quality, you still have many opportunities to go out to sea.

Yin Tianming, vice president of Sanqi Mutual Entertainment Products, pointed out that domestic games have entered an era of striving for quality, innovation and quality in overseas markets. Enterprises going to sea must change from "picking fruits" to "planting good trees" and make efforts in three aspects: in-depth localization, product innovation and continuous change, and refined distribution and operation. Zhong Kunjie, deputy general manager of Xinghui Games, said that with the intensification of market competition, the importance of long-term operation of game products has increased sharply. To make the game run longer and the audience more stable, we should do a good job in content iteration, localization, deep layout and cross-promotion.

At the same time, as a cultural carrier, games also shoulder the important mission of spreading Chinese culture abroad in the process of going to sea. Zhang Yijun, the first vice president of China Audio-visual and Digital Publishing Association, said that the excellent games that have been successfully launched at present have absorbed a lot of Chinese traditional cultural elements, which have formed a very good communication role in foreign markets, and also provided help for how to expand overseas more accurately and effectively in the next step. Some enterprises point out that game products with unique cultural attributes can prolong the game viscosity of players in the game, attract users better and reduce the cost of user drainage. Combining with traditional culture and traditional festivals will be the future trend of game development.

"The era of earning money by going out to sea has passed." How will enterprises going out to sea grasp new growth points and face challenges in 2023? It is worth looking forward to.

The scientific and technological attributes are prominent, and the potential value still needs to be tapped.

Paying attention to the science and technology circle, it is not difficult to find that the recent scenery is not only ChatGPT, but also game technology.

At the annual meeting of the game industry in 2022, the scientific and technological attributes of games have received unprecedented attention. Whether it is a forum for game re-cognition, a forum for game+and technology resonance, the topic of technical value of games cannot be avoided.

Ao Ran, executive vice president and secretary general of China Audio-visual and Digital Publishing Association, pointed out that in recent years, the industry has gradually reached a consensus: as a compound cultural content product, games have both natural cultural attributes and profound scientific and technological attributes, and based on these two attributes, they are constantly enriching their economic attributes and becoming a driver to support the integration and development of digital technology and the real economy.

From the discussion in the industry, it can also be clearly seen that the scientific and technological attributes of games are promising in many other industrial fields, and have brought gratifying resonance effects, such as feeding back cutting-edge technologies as a perfect testing ground, "breaking the circle" to promote the integration of numbers and reality, and resonating with the construction of basic fields of science and technology, especially the construction of scientific and technological talents. Andy, vice president of Tencent Interactive Entertainment, said that with the accelerated development of digital and information technology, today’s video games are becoming a super digital scene, and the "culture" and "technology" attributes of the game industry have been demonstrated unprecedentedly.

According to the Research Report on Game Technology Capability and Technology Value, 62% of the respondents recognized the role of game technology in national technology innovation capability, 81% of the respondents agreed that games promoted the development of AI technology, 91.4% of the public researchers believed that game technology promoted the physical field, and 81% of the industry respondents recognized the talent supply and employment capacity of the game industry. At the same time, the report also puts forward two exciting prospects: first, in the future, games will guide more scientific and technological innovations to cross the "valley of death" and improve the survival rate of high and new technologies; Second, the game will become the basic environment to inspire more scientific and technological innovation and give birth to more "unexpected joy".

Undoubtedly,The scientific and technological attributes of the game have been further recognized and affirmed. As Aoran said, "As an important help to realize a strong country in science and technology, the value of the game has become increasingly prominent.".

Referring to how the game industry should better release the scientific and technological efficiency of games and bring more resonance effects in the future, Aoran put forward three key points: promoting innovative breakthroughs in cutting-edge technologies, helping the development of other social fields and strengthening the talent pool in the science and technology industry. Yang Fang, deputy director of Publicity Department of the Communist Party of China Publishing Bureau, also said that in the future, games should make new achievements in serving scientific and technological innovation, give full play to the role of game industry development in promoting scientific and technological progress, increase investment in cutting-edge technology research and development, speed up the breakthrough of key core technology innovation, make great efforts to promote scientific and technological innovation and help science and technology overcome difficulties. According to its disclosure, this year, Publicity Department of the Communist Party of China will implement the "Network Publishing Technology Innovation and Development Plan", focusing on promoting the breakthrough of the underlying technology of online games such as virtual reality, perceptual interaction, game engine and motion capture, and promoting the expansion and application of new formats such as metauniverse, digital twins and cloud games.

However, the potential value behind the game goes far beyond this.

The People’s Daily once wrote that games have become an industry of great significance to a country’s industrial layout and scientific and technological innovation, and its potential value deserves further attention and deep excavation. Many game companies also admitted at the annual meeting that the game industry has not really released its value in the digital economy, and it is the general trend to "reassess" the value of games.

"Through this annual meeting, you may have felt that games will become a starting point for many economic phenomena in the future. It has gone beyond the original inherent form of the game and started cross-domain and cross-border, which has a wide range of economic and social values. " Zhang Yijun, the first vice chairman of China Audio-visual and Digital Publishing Association and chairman of the Game Working Committee, said that game companies should focus on the overall development of the industry, explore the positive social value of games at multiple levels and dimensions, and help the game industry to use more diverse social benefits, making a unique contribution to the construction of a strong socialist cultural country and the implementation of the digital economy development strategy.

In view of the future development trend of the game industry, Aoran, executive vice president and secretary general of China Audio-visual and Digital Publishing Association, once concluded at the annual meeting that China’s game industry is an emerging force in the cultural field, and its future development will usher in greater opportunities.The game industry will take the road of independent innovation more firmly, tell the story of China more vividly, and integrate with technological innovation at a higher level.

The trough in 2022 has passed. Can the game industry see the "rainbow" in 2023? Let’s wait and see.

Produced by Nandu Big Data Research Institute

Network content ecological governance research center

Writing: Luo Yun

Source: 2022 China Game Industry Annual Conference and 2022 China Game Industry Report.

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A new application test automation method, which can quickly evaluate the experience quality provided by the world’s popular mobile applications.

German technology company recently announced the introduction of enhanced functions for its Nemo device application test suite. The software solution adopts automation technology and artificial intelligence (AI), which gives a powerful boost to wireless service providers and application developers, and can help them quickly evaluate the real interaction between smartphone users and local mobile applications. It is German Technology that provides advanced design and verification solutions, aiming at accelerating innovation and creating a safe and interconnected world.

In the past few years, the number of users who use mobile applications to access digital content and participate in social media platforms and online games has increased significantly worldwide. Compared with the mobile web browser, the local mobile app can provide a tailor-made excellent experience; Therefore, the use of mobile applications has significantly promoted this growth.

Matti Passoja, the head of Nemo wireless solution of De Technology, said: "Service providers and mobile application developers want to know the real experience of end users when they access OTT applications with smartphones connected to cellular networks, and they need a reliable way to verify it. It is DeTech that has created an automated application testing method based on its unique software and hardware technology platform. This method uses real applications, and can accurately understand network performance even in extremely complex and changeable situations. "

It is DeTech that makes full use of artificial intelligence, machine learning (ML) and automation technology, and uses the data captured by local mobile applications (instead of the simulated data flow) to create a brand-new device testing application method. This method can evaluate the interaction between end users and their mobile applications more accurately. The new application test automation method can help wireless service providers quickly optimize the performance of 5G network, and at the same time provide better quality of experience (QoE) for smartphone users. Users can enjoy the world’s most widely used OTT services and social media applications, such as Facebook Messenger, Microsoft Teams, Snapchat, TikTok and Zoom.

The new automatic test application method is one of the three supplementary test methods provided in Nemo device application test suite of German Science and Technology. According to the type of mobile application and key performance indicators (KPIs), the test method can be used with a Nemo field test solution. Nemo test suite users can obtain comprehensive, real and flexible 5G network performance verification and end-user QoE evaluation.

It is a Nemo testing tool of German Science and Technology, which can capture real measurement data in the field and use it for real-time analysis or post-processing analysis. These test tools include Nemo Outdoor 5G NR drive test solution, Nemo Backpack Pro 5G indoor benchmark test solution and Nemo network benchmark test solution.

Generative AI is getting more and more popular. Is this really a good business?

Recently, AI painting is on fire.

By inputting some words, AI can generate an image that matches the words in a few seconds. These images are wild, and some are even bizarre. For example, people have extra fingers on their hands, and their fingers bend unnaturally. Even, AI can generate some meaningless billboards and alphabets that humans have never seen before.

Although AI painting is outrageous, it has set off a wave of science and technology: the spring of generative AI has come.

David Beisel, a venture capitalist at NextView Ventures, said that in the past three months, the word "generative AI" once became a hot word. Moreover, the generative AI technology has developed rapidly and the market enthusiasm is so high that many people even quit their jobs to start a business in this field.

There is no doubt that AI has been in a prosperous stage in the past five years or so, but most of these past advances have to do with understanding the existing data-for example, the AI model has been able to quickly and efficiently identify whether there are only cats in your mobile phone photos. However, the generative AI model generates something completely new that has never been seen before. In other words, generative AI is not just about analyzing existing data, but creating.

Boris Dayma, founder of Craiyon generative AI, believes that "generative AI is not only creating old images, but also creating many new things, which are completely different from what we have seen before."

Sequoia Capital also said in a blog post on its website: "Generative AI has the potential to create trillions of dollars in economic value." Sequoia Capital predicts that generative AI may change all industries that require human beings to create original works, from games to advertising to the legal profession. It is worth mentioning that Sequoia Capital also pointed out in its blog post that this message was partly written by GPT-3 (GPT-3 is a generative AI capable of generating text).

Working principle of generative AI

In the past, deep learning technology was widely used to train the model on large data sets. When the program understands the relationships in these data, the model can be applied to actual scenes, such as identifying whether there is a dog in a picture or translating text, and so on.

The working principle of the image generator is to reverse this process. For example, instead of translating English into French, it translates English phrases into images. Specifically, it usually has two main parts, one is to process initial phrases, and the other is to convert data into images.

At first, generative AI was based on a method called GAN, that is, the generative adversarial network. In essence, this method is to make two artificial intelligence models compete with each other to better create images that meet the target.

At present, generative AI is usually based on Transformer, such as image generator DALL-E and so on. DALL-E was first created by OpenAI in 2021, and in 2022, OpenAI released DALL-E 2.

Christian Cantrell, a developer who focuses on generative AI, said: "With DALL-E 2, we can really cross uncanny valley." (The Valley of Terror theory is a hypothesis about human perception of robots and non-human objects. It was put forward by Japanese robot expert Masahiro Mori in 1970. )

Another commonly used AI-based image generator is Craiyon (formerly known as DALL-E Mini), where users can enter phrases in the browser and see the illustrations it generates within a few minutes.

According to Dayma, since its launch in July 2021, Craiyon has produced about 10 million unprecedented pictures every day, which adds up to 1 billion. Earlier this year, the use of Crayon soared, and Dayma also took Crayon as its full-time job. In addition, Dayma has created a Twitter account to post the weirdest and most creative pictures generated by Craiyon. For example, ketchup comes out of the tap on the Italian sink.

In addition, Stable Diffusion has also received wide attention. The project was released in August this year and has been open source on GitHub. Developers can run the project on computers, not just in the cloud or through programming interfaces. For example, Stable Diffusion can be integrated into Adobe Photoshop by plug-in, allowing users to generate backgrounds and other parts of images, and use layers and other Photoshop tools to operate in applications.

Cantrell, the developer of the plug-in, said, "I want to meet these creative professionals, so that they can introduce artificial intelligence into their creative work, instead of destroying their work."

It is understood that Cantrell has worked for Adobe for 20 years. After leaving in 2022, Cantrell focused on the direction of generative AI. Cantrell said that Stable Diffusion has been downloaded tens of thousands of times, and artists told him that they used this plug-in in many unexpected places, such as making Godzilla animation or creating pictures of Spider-Man.

Start-up companies get together

Some investors regard generative AI as a potentially transformative change, just like the early development of smart phones or the Internet. This kind of transformation has greatly expanded the potential market of this technology.

"Before that, artificial intelligence was not unprecedented. Before 2007, we were not without mobile devices, "said Beisel, a seed investor." But at this moment, everything came together. The final consumer can experience and see something different from before. "

Cantrell believes that machine learning is similar to a more basic technology: database. "Machine learning is a bit like a database, which opens up a whole new world for network applications. All the applications we have used in our life are built on the database. But no one cares about how the database works. People only know how to use it. "

Michael Dempsey, managing partner of Compound VC, said that in the past, it was "very rare" for laboratory technology to enter the mainstream, but at present, generative AI has attracted wide attention of venture capitalists. Nevertheless, he warned that the current generative AI may be in the "curious stage" near the peak of the hype cycle, and the companies established at this stage may fail because they don’t focus on the specific uses that enterprises or consumers are willing to pay for.

Others in the industry believe that startups that can apply new technologies such as generative AI today may challenge technology giants such as Google, Meta and Microsoft in the future.

At present, many companies applying generative AI technology have already received large amount of financing, and their valuations have also risen. For example, earlier this year, Hugging Face was valued at $2 billion after receiving investments including Lux Capital and Sequoia Capital; OpenAI has also received more than $1 billion from Microsoft and Khosla Ventures.

In addition, according to Forbes, Stability AI, the developer of Stable Diffusion, is negotiating with investment institutions to raise up to $1 billion in venture capital.

Cloud vendors and chip vendors will benefit.

Besides start-ups, cloud service providers such as Amazon, Microsoft and Google can also benefit from it, because generative AI may require a huge amount of computation.

Meta and Google have also taken action and started recruiting talents. In September of this year, Meta released an artificial intelligence application called "Make-A-Video", which can generate videos, which makes the generative AI technology a step further.

"This is a great progress," Zuckerberg, CEO of Meta, posted on his Facebook page. "It is much more difficult to generate videos than photos, because besides correctly generating each pixel, the system must also predict how they will change over time."

Recently, Google matched with Meta and released a program code called Phenaki, which can also convert text into video and generate several minutes of footage.

This craze may also boost chip manufacturers such as Nvidia, AMD and Intel, because the advanced graphics processors produced by these companies are ideal for training and deploying artificial intelligence models.

At a recent meeting, Huang Renxun, CEO of Nvidia, emphasized that generative AI is the key use of the company’s latest chip, and he said that this kind of program may "revolutionize communication" soon.

At present, there are not many uses of generative AI that can generate commercial benefits. Many exciting breakthroughs today come from free or low-cost experiments. For example, some writers have tried to use image generator to generate images for articles. An example of Nvidia is to use a model to generate new 3D images, including people, animals, vehicles or furniture, which can be filled into the virtual game world.

Ethical issues can not be ignored.

While generating AI excites the industry, the ethical issues it brings are also worthy of attention.

The first is employment. Compared with professional illustrators, generative AI is obviously cheaper. Therefore, generative AI is likely to rob artists, video producers and other people engaged in creative work of their "rice bowls".

In addition, there are complex problems in originality and ownership of the content created by generative AI.

Generated AI is trained on a large number of images. Therefore, it is still controversial whether the creator of the original image has copyright requirements for the generated new image.

Some time ago, an artist won an art competition in Colorado, and his winning image was created by a generative AI named MidJourney. After winning, the artist said in an interview that he selected one image from hundreds of images generated by himself and post-processed it in Photoshop.

It is worth mentioning that some images generated by Stable Diffusion are watermarked, which indicates that some of the original data sets are copyrighted. Previously, Getty Images (a picture trading company based in Seattle, USA) announced that it was forbidden for users to upload generated AI pictures to its picture library, because the company was worried that there might be some copyright problems in such pictures. .

With the improvement of image generation software, generative AI may also deceive users, make them believe false information, or display images or videos of events that never happened.

In addition, developers must also deal with the possibility that models trained on a large amount of data may have biases related to gender, race or culture contained in the data, which may cause the models to show such biases in their outputs.

Original link:

Source: AI Frontline, author: Kif Leswing. If there is any infringement, please contact to delete it.

People don’t seem to care much about the future world described in the sci-fi movie The Matrix, but a recent news released on the Meta platform has made people curious about the future world. According to Forbes, a virtual community named Game Free is building a virtual world-"Metauniverse". It has been established for more than ten years, but it is relatively simple compared with the world in the Matrix. What is the magic of meta-universe? Has it become a reality now?

I. Future Society
The idea of "Metauniverse", first put forward by Meta Company, is an expression way to turn people’s vision of the future society into reality. In the setting of X-Men, Professor X has special devices and abilities in real life, and can breathe and move freely, but he can’t turn his control into a real society. The reality is not infinitely close, but gradually close to the ideal society. That is to say, the "infinite approach" pursued by the X-Men is not realistic in real life: it is impossible to turn one person into another; Unable to control human behavior; Unable to control the direction of people’s actions in reality … eventually led to the X-Men being abandoned by the world. If the X-Men movies are sorted out, it is found that the movies have a clear vision for the future society, then the meta-universe will be closer to the real state in reality: on the one hand, the meta-universe, as a virtual space, can be infinitely connected to the real world; On the other hand, Metauniverse will become the key "cornerstone" for building the infrastructure of human society … So what will human society become in the future?

Second, intelligent hardware
The universe is not only a game world, but also a technology. In MetaUniverse, through various virtual carriers such as games and videos, MetaUniverse players can be immersed in it, which is not only a space for games and entertainment, but also an interactive space for knowledge, skills and contacts. There is a kind of meta-universe in a special sense, which is a "virtual life" mode in which the virtual world and the real world merge, influence, blend, promote and expand with each other. It is a place where people can exchange and interact with each other, acquire knowledge and skills and cultivate friendship in this virtual world. For users, Metauniverse makes itself a "human" character-this is the experience they need in games and the real world. For hardware equipment manufacturers, it is the performance of the product itself besides ensuring entertainment, interaction and other functions.

Third, artificial intelligence
As the core of scientific and technological innovation, artificial intelligence will gradually get more applications in the meta-universe. With the help of human beings, artificial intelligence has developed from relying on single software and single function in the past to the present artificial intelligence. In the future, artificial intelligence will be more dependent on computing power. For example, driverless cars are an attempt to realize barrier-free travel in the meta-universe. Starting from the progress in the field of driverless cars, this paper explores the possible forms that driverless cars may appear in the meta-universe, hoping to provide more exploration space for the meta-universe. It is foreseeable that artificial intelligence will play an important role in the meta-universe in the future.

IV. Conclusion.
With the rise of meta-universe, virtual world has been given more and deeper meanings, and the application of science and technology by human beings has changed from passive acceptance to active creation. At the same time, the lifestyle and experience provided by the virtual world in the meta-universe have greatly enriched human thinking and feelings, and made people interested in a new thing. However, with the development and innovation of technology, this trend will gradually become stable. But we believe that technology is always a double-edged sword. It can bring convenience and benefits to human beings, but it may also bring harm to human beings. Like the future world described in science fiction movies, human beings are sleeping in a dormant warehouse made of machines, and their brains are linked to the meta-universe world, so they live falsely.

From scientist to entrepreneur, Yu Kai is not the first person to "run away" in the field of artificial intelligence.

Despite the previous achievements in scientific research, joining in entrepreneurship means facing the reality of bone feeling.

In March 2015, Yu Kai said in an interview: "If a business can get the resources it deserves to do what it wants, then choose to start a business; If you join a big platform and have more resources to do one thing, then join a big platform. " Sure enough, three months after that, he left Baidu and founded Horizon.

From the initial "no one pays the bill" to October this year, Horizon successfully won the investment of 2.4 billion euros from Volkswagen, setting the largest single investment record for Volkswagen in the past 40 years, and establishing a joint venture company with audi ag’s software company. The transformation of Yu Kai’s identity can be described as unsuccessful.

Before becoming the founder of Horizon, Yu Kai’s label was the top international scholar in the field of machine learning and the main promoter of deep learning technology in China. His published papers were cited more than 20,000 times, and he won the silver award for the best paper in ICML-2013 International Machine Learning Conference. He himself also served as the domain chairman of ICML and NIPS, two major conferences of machine learning.

Yu Kai’s achievements in the academic field go far beyond this.

NEC Research Institute of the United States was once one of the major centers of international machine learning research. During his tenure, Yu Kai established a highly prestigious technology research and development team in Silicon Valley. This team is one of the earliest and most active teams in the field of deep learning in the world. A series of technologies led and developed by him have pushed image object recognition to a new level worldwide, and won many international famous awards.

After joining Baidu in 2012, the voice technology team, deep learning technology team and image technology team led by Yu Kai won the "Baidu’s highest award" three times in succession, creating records of various technical and business teams within Baidu.

In the eyes of outsiders, Yu Kai at that time, both academically and professionally, was smooth sailing.

But at this time, he chose to start a business.

Yu Kai’s reason is straightforward: "In the past three years, what I have done at Baidu is to promote artificial intelligence in the cloud. But I think there will be a bigger trend in the next few years that I have to do: from artificial intelligence in the cloud to artificial intelligence around everyone. "

Therefore, Yu Kai, who has always believed in "doing things is the most important thing", founded Beijing Horizon Information Technology Co., Ltd. in July 2015, focusing on edge computing in the field of artificial intelligence.

From the moment the company was founded, in his own words: First of all, I will forget that I am a scientist more and more.

To be a scientist, you can put the mainexperienceDo research and write papers, but as an entrepreneur, you should focus more on business and customer needs.

Yu Kai has always wanted to grasp some "truth" things in this process, for example, things that can really create long-term value. With this idea in mind, at the beginning of Horizon’s establishment, he played the slogan of "making brains for machines", and avoided the edge of the field giants, took the edge computing route, and insisted on making AI chips.

It was really hard at first.

When recalling the initial stage of starting a business and determining the development direction, Yu Kai mentioned: At that time, we were predicting a far future, a future that might take 20 years as its dimension. From computers to smart phones, and beyond, what is a bigger computing platform than these? At that time, they were sure,beRobot computing platform. AI chip is the indispensable key to realize this calculation.

Now that we hear about AI chips, it’s needless to say its importance. But when Horizon was founded, not every investor could understand the "blueprint" in Yu Kai’s eyes. As a direct result, the horizon was once unsustainable. Until smart cars become "robots"calculate"The first and biggest landing scene at present, everyone began to understand that Yu Kai had bet on it.

In 2020, smart cars ushered in an outbreak period. As a result, there is a global "lack of core" in the automotive industry.question.

A chip with excellent computing power, like a smart brain, can accurately control the behavior of the vehicle. A series of functions, such as environmental awareness, route planning, driving assistance and so on, advertised by smart cars all need to rely on chips to be realized.

This is also consistent with what Yu Kai has always wanted to do. He has always believed that the real significance of artificial intelligence is not to survive and develop as the opposite of human life, but to support people’s decision-making and enhance their ability. Once the smart car scene is broken down, this ability will definitely spill over to others.floatApplication scenario of robot.

In August 2019, Horizon announced the mass production of China’s first car-class AI chip "Journey 2";

In September 2020, Horizon officially launched the AI chip "Journey 3";

In July, 2021, Horizon released "Journey 5", a high-performance and large-computing, full-scene intelligent central computing chip for the whole vehicle.

……

Yu Kai once said, "The course of a scientist’s entrepreneurship is not based on business opportunities,FromStart in the future. "

This cooperation between Horizon and Volkswagen may be the next future in Yu Kai’s plan.

Analysis of industrial chain, market demand potential and enterprise layout of domestic smart speaker industry in 2022 [Figure]

Smart speaker, the product of a speaker upgrade, is a tool for home consumers to surf the Internet by voice, such as ordering songs, shopping online, or knowing the weather forecast. It can also control smart home devices, such as opening curtains, setting the refrigerator temperature, warming up the water heater in advance, etc.

Basic functions of intelligent speakers

Source: Collation of Common Research Network.

Intelligent speaker industry chain includes traditional acoustic-related OEM/ODM suppliers, chip suppliers, voice technology service providers, content providers and channels.

Intelligent speaker industry chain

Source: Collation of Common Research Network.

In 2019, China’s smart speaker market experienced explosive development, with the shipment of smart speakers reaching 45.89 million units, up by 109.7% year-on-year. In 2020, affected by the Covid-19 pandemic, the sales volume of smart speakers reached 36.76 million units, with a cumulative decrease of 8.6%. In 2021, the market shipment of smart speakers contracted by 2.50% year-on-year, dropping slightly to 35.841 million units.

2018-2021 China Smart Speaker Market Shipment Trend

Source: Collation of Common Research Network.

In 2021, China’s smart speaker market was 7.885 billion yuan, up by 14.99% year-on-year. With the continuous integration and improvement of intelligent speaker artificial intelligence technology, the potential of smart speaker consumption market in China will be released in the future, and the industry is expected to usher in rapid growth.

2018-2021 China Smart Speaker Market Scale Trend

Source: Collation of Common Research Network.

At present, the main functions of smart speakers in China are voice interaction, content service and home control. Voice interaction is a voice interaction technology based on voice recognition and semantic understanding, which provides a more natural man-machine interaction mode. Content service and life service are streaming media resources such as high-quality music and audiobooks, and third-party service resources such as take-out and taxi service. Home control is connected to the cloud through networking, becoming a home control center and interconnected with other smart home products. With the development of voice interaction technology, smart speaker products can not only provide content entertainment services and life services, but also connect to smart homes, realize scene intelligent control, and become the control center of smart homes. In the future, the Internet of Things will take voice as its population, resulting in a new business model.

Domestic layout smart speaker manufacturers can be divided into five categories.

Source: Collation of Common Research Network.

What is the market prospect of smart speaker industry? The 2023-2029 China Smart Speaker Market Survey and Investment Strategy Report published by Gongwang has analyzed in detail the relevant definitions of smart speaker industry, the global smart speaker industry market development status, the development environment of smart speaker industry in China, the operation of smart speaker industry in China, the monitoring of the operation data of smart speaker industry in China, the market structure of smart speaker in China, the demand characteristics and trends of smart speaker industry in China, China smart speaker industry regional market situation, China smart speaker industry competition, China smart speaker industry development prospect analysis and forecast, China smart speaker industry development strategy and investment suggestions, etc., to help enterprises and investors understand the smart speaker industry market investment value. If you want to have a systematic understanding of the smart speaker industry or invest in the smart speaker industry, this report is your indispensable and important tool.

Recently, Yan Ning, a famous structural biologist, announced that he would resign from Princeton University and set up the Academy of Medical Sciences in Shenzhen. In response to the latest research that she will focus on when she returns to China, she said that the discovery of structural biology is of great significance to the pharmaceutical industry, including the research on the interaction between drugs and hormones, which has more implications for drug development and disease treatment.

Yan Ning said, for example, that through the method of structural biology, scientists saw for the first time that two commonly used drugs used protein as a "scaffold", which directly "side by side" affected the normal function of protein.

Technological change promotes the development of structural biology.

Protein, as the scaffold and main substance of human tissues and organs, plays an important role in human life activities. In the cell, a large number of protein elements form the molecular machines, which performs important molecular processes in the cell through the interaction of protein, including the cell’s response to the external environment and the internal environment, and also forms a signal transduction network system with the interaction of protein as a link.

Structure By studying the three-dimensional structure, dynamic process and biological function of biological macromolecules, biology can provide more details of protein interaction and real-time dynamic process, thus helping scientists to understand molecular mechanism and explore the pathogenesis of diseases related to macromolecular dysfunction.

The development of biology not only contributes to the discovery of drugs, but also affects the research fields of life sciences including biochemistry, cell biology, genetic development, neurobiology, microbiology and pathopharmacology.

The development of science and technology has been promoting the progress of structural biology. In 2017, the Nobel Prize in Chemistry was awarded to cryoelectron microscopy, which can greatly improve the efficiency of analyzing the atomic resolution three-dimensional structure of large protein complexes; Moreover, researchers can freeze biomolecules in motion and visualize their motion process.

This breakthrough has brought a perfect storm to the field of structural biology. In recent years, important breakthroughs have been made in the field of life sciences. The work of China scientists such as Cheng Yifan, Shi Yigong, Yang Maojun and Liu Zhengfeng has also benefited from this technology. They have analyzed the important complex structure of atomic resolution. In addition, the enzyme that produces the protein that leads to Alzheimer’s syndrome was analyzed by cryomicroscope.

In August, 2015, Shi Yigong’s research team published an article in Nature, reporting the three-dimensional electron microscope structure of human γ -secretase with a resolution of 3.4 angstrom, and studying the function of the pathogenic mutant of γ -secretase based on the structure analysis, which provided an important foundation for understanding the working mechanism of γ -secretase and the pathogenesis of Alzheimer’s disease.

In February, 2020, after the outbreak of COVID-19, the research team of West Lake University successfully analyzed the full-length structure of novel coronavirus receptor ACE2 for the first time by using cryo-electron microscopy, which helped the research and development of drugs in COVID-19.

What does AI predict protein folding change?

With the help of artificial intelligence technology, DeepMind, a subsidiary of Google, recently announced 220 million kinds of protein structures predicted by AlphaFold software, which shocked the field of structural biology, because it indicates that artificial intelligence enterprises have begun to "truly hand over the power of Al to scientists all over the world".

Scientists compare the significance of this disruptive breakthrough with the human genome project. In the 1990s, when the Human Genome Project began to take shape, scientists realized that it was not enough to master the base arrangement of genes, but also to know the protein, the product of genes.

Shi Yigong, academician of China Academy of Sciences, structural biologist and president of West Lake University, commented on AlphaFold’s work: "Its accurate prediction of protein structure is the greatest contribution of artificial intelligence to the scientific field, and it is also one of the most important scientific breakthroughs made by mankind in the 21st century."

Shi Yigong once told China Business News: "AlphaFold represents the world’s leading artificial intelligence protein organization prediction system." At the same time, he said, China’s high-tech enterprises are catching up, expecting to bring surprises to the world in the near future.

He also said that the improvement of the accuracy of protein structure prediction will greatly benefit the pharmaceutical industry. "Artificial intelligence prediction of protein structure provides an important foundation for drug design and optimization. The structure of drug target proteins combined with all small molecule drugs can almost be wiped out by AlphaFold. " Shi Yigong said.

In the opinion of some scientists, although AlphaFold’s work is shocking, the accuracy of drug research and development prediction is not enough. Professor Liu Zhijie, executive director of iHuman Institute, Shanghai University of Science and Technology, told the First Financial Reporter: "It has been a long time to predict the protein structure. Now the accuracy of the prediction is definitely getting higher and higher, but it still hasn’t reached the precision of crystal structure."

Liu Zhijie First Financial News told the reporter that the crystal structure is the most accurate, and now artificial intelligence can predict the protein folding with the accuracy of electron microscope and nuclear magnetic resonance. In addition, because there are thousands of structures in protein, the difficulty of analysis is different. "If some protein sequences are similar to the known structure of artificial intelligence, it is easier to predict." Liu Zhijie said.

However, he still believes that with the continuous improvement of the prediction accuracy of protein folding, it will play a more important role in the field of life sciences in the future. "If the current prediction can reach the accuracy of electron microscope, some drugs can already be designed. Drug design is the biggest application field of artificial intelligence protein folding prediction." Said to Liu Zhijie First Financial Reporter.

Others think that with the development of artificial intelligence, there may not be so many structural biologists in the future. "Many researchers who do structural biology are actually more like technical service personnel. The more people there are, the more structures that can be analyzed. Therefore, in essence, a large part of their work depends on manpower. Now with AI, it is true that a large number of people who do structural biology have changed careers." A virus researcher told the First Financial News reporter.

However, for top structural biologists such as Shi Yigong, technology is only a powerful support for the "top brain", which can help them realize more ideas. "Every conscientious biologist should know how to make good use of the structural prediction of artificial intelligence." Shi Yigong said.

Professor Michael Levitt, winner of the Nobel Prize in Chemistry in 2013, told China Business News: "I think many structural biologists are not only doing structural research, but also doing a lot of work on protein function and drug research and development, just like Professor Yan Ning. Artificial intelligence only liberates a part of traditional manpower, but the progress of science still needs to rely on the smartest human brain. I’m afraid that artificial intelligence alone will not work. "

In recent years, a number of AI pharmaceutical companies have also been born in China. In this regard, Ewing Nan, academician of Chinese Academy of Sciences and president of Beijing Institute of Scientific Intelligence, pointed out to the First Financial Reporter: "The emergence of AI for Science research paradigm is an important historical opportunity for scientific and technological innovation, which not only expands the capability boundary of data-driven and physical model-driven models, but also is expected to promote the organic combination of the two, provide theoretical basis for further solving practical problems, and greatly narrow the distance between scientific research and practical application."

Li Jianguo, general manager of Midea Building Technology Elevator Company, used the human body as a metaphor to introduce the technical points of Digital Elevator: "For example, the application of AI graphic image recognition, voice acquisition technology, new infrared, millimeter wave and other human perception technology sensors, laser ranging technology, etc. is to improve the perception ability of the elevator; The application of CPU chips with higher computing power, big data analysis, artificial intelligence, deep learning, neural network and other technologies improves the calculation and analysis ability of the algorithm, which makes the elevator smarter and smarter. " It is understood that before leaving the factory, every LINVOL elevator has to undergo a total of 513 quality tests of the whole elevator and its components, such as performance, protection, structure and function. The mechanical safety protection system is combined with the electrical safety protection design, and eight safety devices, such as emergency braking system, door interlock and speed limiter, are adopted to prevent elevator accidents to the maximum extent. On the software side, we can monitor the elevator’s operation status in real time through big data and Internet of Things technology, analyze the elevator’s operation status in time through big data logic algorithm, and transmit it to the elevator management platform through the network for intelligent analysis and preventive maintenance. In addition, Midea is equipped with AI, sensors and Internet of Things technologies for every digital elevator. The camera of AI can automatically identify dangerous goods and dangerous ladder riding behaviors, and initiate corresponding measures to prevent problems before they happen. As a part of the building, intelligent elevator can also improve the operation efficiency of the building. Li Jianguo introduced,The digital platform of iBUILDING in UILDING can automatically identify passengers’ identity information through the elevator eye system, and automatically guide people on nearby floors to take a ride by robot dispatch, so that passengers can be sent to the destination floor without button contact. "It turns out that the elevator stops in the middle during the peak period of use, and the single running time is long; Now, through a series of algorithms and digital intelligent applications, the single running time of the elevator can be shortened, running more times, and delivering more people to the destination floor. " At the same time, the intelligent passenger flow analysis system can also realize the priority of dispatching elevators on peak floors, shorten the operation efficiency of elevators by about 2/3, improve the comfort, and at the same time effectively reduce energy consumption, save energy and reduce carbon.codaBorrow a passage from A Tale of Two Cities by Dickens as the conclusion of this article: This is the best time and this is the worst time; This is the age of wisdom, this is the age of stupidity; This is the period of faith, this is the period of doubt; This is a bright season; This is the dark season; This is the spring of hope, and this is the winter of disappointment … Although the rivers and lakes of elevators in China are still under the feast of foreign investment, I believe that with time, domestic elevator brands will surely rise against the trend and flourish in the wind! Each platform has the same name. If you like our story, please share, collect and forward it.