Jinshan as an agricultural regionIn recent years, the transformation of old and new kinetic energy in agriculture has been continuously promoted.Through the empowerment of science and technology, we will accelerate the development of agriculture into science and technology, intelligence, informationization and precision, and put wings on rural revitalization..

At present, it is spring ploughing season. At Diantian Robot Smart Farm in Tinglin Town, technician Zhou Pengfei is debugging the latest generation of agricultural robots with his colleagues. Rotary tillage, ridging, watering, sowing, and sending operation instructions through mobile phones, these agricultural robots equipped with GPS and Beidou dual systems will "do their jobs" and automatically realize accurate operations with an error of less than 5 cm.

Zhou Pengfei, Technician of Shanghai Diantian Agricultural Cooperative.

Manual operation can’t make a straight line. If we use our machine, every positioning is very accurate, and a straight line will be formed from point to point, making the ridge surface very flat.

In order to change the traditional agricultural production mode, six years ago, Shanghai Diantian Agricultural Cooperative targeted the field of intelligent agricultural robots. Nowadays, the agricultural robots in the cooperative have been updated to the seventh generation. By using technologies such as 5G, artificial intelligence image recognition and big data system, more than 30 tasks such as farming, weeding and picking can be carried out, covering all aspects from cultivated land to harvest.

Zhangqian, a staff member of Shanghai Diantian Agricultural Professional Cooperative.

After upgrading, we also have some of our own supply chains, including some cooperative factories.

At the same time, the AI intelligent operating system and saiga architecture of agricultural robots independently developed by the cooperative can realize the cooperative operation of multiple agricultural robots independently, and truly realize the digitalization of the whole process of agricultural planting and farming management. At present, these intelligent agricultural robots have been widely used in farms in Shanghai, Zhejiang and Northeast China. In 2023, the annual GDP of cooperatives is expected to reach 150 million yuan.

Wang Jinyue, Chairman of Shanghai Diantian Agricultural Cooperative.

In the future, this R&D system will be more open, open source and more adaptable.

"Intelligentization" is not only applied to agricultural operations, but also reflected in modern agricultural irrigation. In the cooperative base of Tinglin Town Huawei Water Saving Technology Group Co., Ltd., a large number of air and soil sensors are distributed in the intelligent strawberry greenhouse with full environmental control. They pay close attention to the growth of crops all the time, and the data such as soil pH value and dry humidity will be monitored in real time and sent back to the computer, which will give instructions after judgment, so as to realize accurate automatic irrigation.

Jiang Tingting, technician of Huawei Water Saving Technology Group Co., Ltd.

The expert system will analyze whether these data are in line with the growth of crops, so that we can know whether it needs watering or fertilization.

By monitoring irrigation with "data" of the whole environment, each greenhouse can save more than 95% of water and fertilizer, and the strawberry yield is also increased by nearly 30%. At present, Huawei has carried out intelligent water and fertilizer integration, Internet of Things agriculture, digital factory, facility cultivation system construction and technical guidance in all regions of the country, covering an area of more than 3 million mu in 25 provinces across the country. Only Huawei drip irrigation technology can benefit about 1.2 million mu of farmland every year, saving costs and increasing efficiency for growers by about 1.2 billion yuan.

Lv Mingli, Chairman of Huawei Water Saving Technology Group Co., Ltd.

Huawei has accumulated more than 20 years in the industry, and we are the first entity to realize the commercial application of crop growth models, accurately matching different growth stages to meet the needs of water, fertilizer, light and heat.

At present, Jinshan District has established smart agriculture experimental zones such as BOE, Songlin, Jiufeng and Rongmei. The intelligent soilless culture system was built by Zhilian Factory, a special vegetable in Langxia Town, BOE, with the help of AI technology, and the mechanized planting coverage in the vegetable growing process was over 90%. Dingdong is the first self-operated vegetable planting base to buy vegetables, which can realize the mechanization of seedling raising, tillage, ridging, transplanting, plant protection and harvesting. In the next step, Jinshan will focus on the joint construction of the national agricultural science and technology modernization pioneer zone, and continuously introduce, digest and absorb cutting-edge agricultural science and technology achievements, so that digital empowerment can promote the high-quality development of Jinshan agriculture.

Di Maria was born in Rosario, Argentina, on February 14th, 1988. She is a right winger, an attacking midfielder and a left winger. She is an important helper of Lionel Messi in Argentina’s national team and a member of the 2022 FIFA World Cup Qatar 2022 champion.

In August 2014, Di Maria moved to Manchester United, the Premier League giant, but she was not sharp at all during the Real Madrid period. To be precise, she was not acclimatized. She contributed 4 goals and 12 assists in 33 games in various competitions. Because of injuries, her state declined seriously and she was swept out of the house by Manchester United. In August 2015, he joined the French overlord Paris, and in his first season in Paris, he made 47 appearances in various competitions, contributing 15 goals and 25 assists.

Di Maria didn’t win any championship during Manchester United. In the first season after leaving Manchester United, he won the triple crown including Ligue 1, French Cup and French League Cup with Paris.

Lingard was born in Cheshire, England in 1992. He was a former England international midfielder. In July, 2012, he was promoted to the first team of Manchester United, and then he experienced ups and downs in Manchester United. He was once loaned to four teams in leicester city, Birmingham, Brighton and Derbyshire. Returning to Manchester United in May 2015, he played well in the early stage, but after December 2018, he did not score in 34 consecutive Premier League games. In 2019, he scored 0 goals and 0 assists. Lingard, who was extremely depressed, was swept out of the house and joined the Premier League team West Ham United in January 2021.

In January, 2021, Lingard scored twice in his first show when he joined West Ham. Before that, he scored 1 goal in 35 Premier League games for Manchester United. On behalf of West Ham, he scored 8 goals in the first 9 Premier League games, tying the record of scoring the most goals in the Premier League in a single season. In 16 games at West Ham, he contributed 9 goals and 5 assists, which made West Ham sixth in the Premier League and qualified for next season’s European War.

Depe is a Dutch striker. He was born in the Netherlands in 1994. He debuted in Eindhoven, a Dutch giant, in 2006, and won a Dutch champion and a Dutch golden boot with the team. He joined Manchester United in June 2015. In the 2016-17 season of Manchester United’s last season, he came off the bench for 8 times in various competitions, totaling 134 minutes. The Premier League played for 20 minutes without scoring or assisting.

In January 2017, he was swept out by Manchester United and joined the French team Lyon. Depe, who joined halfway, played 26 times on behalf of Lyon in that season, scored 5 goals and had 8 assists; Help Lyon get the fourth place in Ligue 1. In the following season, he played 51 times on behalf of Lyon, contributed 22 goals and 17 assists, helped Lyon win the third place in Ligue 1, and also qualified for the Champions League next season.

Lu Kaku made his debut in the Belgian giants Ande Laichter, and in 2009-10, he helped the Belgian giants win the league championship and crowned himself as the Golden Boot. In 2017, he moved to Manchester United, the Premier League giant. In the last season of the Red Devils, he made 45 appearances in various competitions and contributed 15 goals. However, he was criticized for his poor timing at critical moments. That season, Manchester United only ranked sixth in the Premier League, and Lu Kaku was finally swept out by Manchester United.

On August 8, 2019, Lu Kaku joined Serie A team Inter Milan. In his first season, he scored 34 goals and 6 assists in various competitions, which tied the record that Ronaldo scored the most goals in his first season on behalf of Inter Milan, and it was also the record that he scored the most goals in a single season in his personal career. The Europa League helped the team win the runner-up, and Serie A won the runner-up only by one point.

Beijing, March 10 (Reporter Huang Yuling) On the 10th, the Supreme People’s Court held the fifth activity of the series of all-media live interviews on the interpretation of the Work Report of the Supreme People’s Court in 2023. Regarding the recent wave of artificial intelligence triggered by ChatGPT around the world, Chen Qiwei, deputy director of the Supreme People’s Court Information Center, introduced the latest situation of the construction and application of artificial intelligence in the court.

Chen Qiwei mentioned that the Supreme People’s Court has always attached great importance to the application of artificial intelligence technology, and courts all over the country insist on using technology to promote the quality, efficiency and power changes of court work. In 2014, the people’s courts built the world’s largest trial information resource library, realizing the real-time aggregation of court case data in the country every five minutes. At present, more than 300 million cases have been aggregated. These massive judicial big data resources covering structured cases, file images, trial audio and video, and documents have laid a good foundation for the application and development of judicial artificial intelligence. Up to now, the overall framework of judicial data platform and smart court brain has been formed, and its service capacity has covered 98% of the courts in China (3,470). Since 2022, the total number of services has exceeded 600 million. According to the practical experience in various places, the whole-process intelligent assistant case handling supported by the application of judicial artificial intelligence can effectively reduce the routine work of judges by more than 30% and improve the trial efficiency by more than 20%.

Chen Qiwei said that after ChatGPT came out, it attracted wide attention from various industries. The construction of smart courts is also actively paying attention to the possible changes brought about by the application of this technology. At the same time, as a vertical application of judicial artificial intelligence, the construction of smart court has its own characteristics, such as stricter requirements on the seriousness and accuracy of answering questions, and compared with ChatGPT’s open application from digital space to digital space, judicial artificial intelligence needs to pay more attention to the support of physical space to physical space. For example, it is necessary to use judicial artificial intelligence to actually support the automatic classification and cataloging of electronic files, and it is necessary to realize the automatic generation of trial transcripts by means of accurate positioning of speech roles and adaptive multilingual models during the trial. These technical problems are also very challenging.

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Cristiano ronaldo on Manchester United: "Nothing has changed since I left. Swimming pools, jacuzzis, even gyms, and even some technologies. Even the chef I admire is a lovely person. " I thought I would see new technologies and infrastructure. I saw what I saw when I was 20! ”。

Manchester United’s management is too rubbish, the Glazer family really sucks blood, Manchester United’s infrastructure and supporting facilities are really dying, and other teams are repairing, so Glazer doesn’t repair the whole Lonnik in the middle, a man who hasn’t been a coach for 10 years. Glazer really deserved to be scolded. In the past, there were good coaches and management who were unwilling to spend money, but the coaches and management behind them failed to spend money crazily, and the coaches they were looking for were worse than each other except Fan Jiaer and Mourinho. Isn’t it good to stay in Juve? You have to go to Manchester United, and you don’t make all kinds of evaluations before you go. Who is to blame? If you have brains, you won’t leave Real Madrid

On March 10th, local time on Thursday, Microsoft said that the number of daily users of its bing search engine exceeded 100 million, mainly because the new version of Bing integrated the artificial intelligence chat function, and the number of users of the company’s Edge browser was also growing steadily.

Yusuf Mehdi, vice president and chief marketing officer of Microsoft, said, "We fully realize that our market share is still very small and low, with only single digits." He said that compared with Google, Microsoft’s share in the search market is quite small. "On the other hand, it feels good to go to the dance!"

Google has not published the number of daily users of search engines. However, according to StatCounter, the market share of Google search engines in the United States is usually slightly lower than 90%, compared with 6% or 7% for Bing.

Microsoft said that there are "millions of active users" who are trying out the preview version of Bing with integrated artificial intelligence chat function, and about one third of them are people who have never used Bing before. Microsoft also attributed this to the slow but steady growth of Microsoft Edge browser. Microsoft Edge browser sets Bing as the default search engine. If users insist on switching to other search engines, Edge browser will repeatedly prompt users to switch back to Bing.

A month ago, Microsoft launched the artificial intelligence chat robot function in the limited preview version of Bing, with OpenAI’s Large Language Model (LLM) as the supporting technology. So far, Microsoft has made some adjustments to the behavior of robots to solve the problem that robots sometimes have strange and threatening content in conversations. One of the changes is to limit the number of responses that the chat bot can give in a single instance, because the longer the conversation, the easier it is for the bot’s response to deviate. Recently, Microsoft also introduced some "personalized" functions for chat bots to make the answers more direct or interesting.

Last month, Microsoft began to add "New Bing" function to Edge browser, Skype, Windows 11 taskbar and some development tools. In addition, Microsoft is also testing "multi-modal artificial intelligence" technology, which can handle various forms of input including images, text, audio and video. (Chen Chen)

Author: Liu Xinyu

The combination of artificial intelligence technology and unmanned aerial vehicle will greatly change the existing theory and mode of military operations. The power of artificial intelligence plays a role at all levels of the national defense industry, and the rapid development of artificial intelligence will define the next generation of war. Recently, ChatGPT, a generative artificial intelligence technology developed by OpenAI, has been paid attention to and used all over the world. ChatGPT is a large-scale generative pre-training language model based on transformer. It can train in existing data sets and generate texts similar to human language. This unique ability makes it an ideal tool for military applications. The underlying natural language model and technology that provides power for ChatGPT may completely change the artificial intelligence on the battlefield and have a great impact on the situation awareness and independent decision-making methods in future wars.

Intelligent situational awareness in the whole information domain

In the future military field, there will be a battlefield environment with complex information, high confrontation and changeable tasks. The highly uncertain combat environment puts forward extremely high requirements for the independent perception and cognitive ability of combat equipment. Military equipment needs to have the ability of automatic target detection and identification and multi-sensor data fusion. It can detect and fuse enemy target information and its own support information through autonomous and receiving information acquisition methods, and perceive the battlefield situation and extract important information for subsequent decision-making on the basis of obtaining full information domain.

Based on the demand for intelligent situational awareness, the generative artificial intelligence technology ChatGPT can be integrated into military vehicles, aircraft and other combat systems. With the application of artificial intelligence language robots trained by a large number of models, the required real-time information can be effectively coordinated in a multi-domain environment, and the input data from various sensors can be analyzed to generate a complete, comprehensive and real-time updated operational environment map.

Intelligent technology can play a key role in future military operations. Generative artificial intelligence technology can rely on its strong creativity, understanding and response speed to obtain cross-domain intelligence and battlefield situation data, improve the ability of insight into intelligence, form a highly simulated situation scene, realize dialogue between people and battlefield environment, provide real-time information and situation prediction, enhance the real-time and decision-making of battlefield situation perception, and better support real-time decision-making in military operations.

Real-time and efficient intelligent independent decision-making ability

At present, the autonomous decision-making ability of aircraft has been initially characterized by intelligence and independence. The US Air Force uses artificial intelligence "decision-making assistant tools" in distributed common ground system (DCGS) to help sort out and integrate a large amount of data. This artificial intelligence system connects most airborne intelligence and monitoring and reconnaissance platforms of the US Air Force, and integrates artificial intelligence technology into training to expand into other fields.

If the generative artificial intelligence technology ChatGPT is introduced into the decision-making method of aircraft, it can provide real-time information about enemy positions, movements and capabilities, as well as the advantages and disadvantages of friendly forces in tactical situations based on the prior information database and real-time signal, data and image databases, and at the same time based on the real-time interaction between aircraft and environment, so as to analyze, reason and make decisions, and realize rapid response to battlefield decision-making.

The generative artificial intelligence robot can generate multiple sets of operational plans in a short time when the aircraft is faced with complex and uncertain operational conditions, and preview the battlefield process and results for each set of plans, so as to generate real-time optimal decisions in the face of complex requirements in terms of information acquisition, reaction time, calculation speed, tactical evolution and comprehensive evaluation, and support decision makers with diversified decision plans and deduction results.

Real-time and efficient intelligent autonomous decision-making method can cover the complex situation in real combat environment, play a similar role to human brain in high uncertainty environment, dynamically adjust attack and protection strategies according to real-time situation awareness and operational effectiveness evaluation, and realize efficient confrontation through closed loop of process.

Enlightenment and prospect of intelligent military

Generative artificial intelligence technology breaks the logic of time series calculation, and makes artificial intelligence in multiple sub-fields begin to merge technically. As a new technology in the field of artificial intelligence, deploying ChatGPT in military operations may enhance cross-domain combat capability and realize situational awareness and real-time independent decision-making in all information domains. In the future battlefield, if we can deploy the top-level layout and bottom-level algorithm of generative artificial intelligence with the guidance of military operations and equipment development, with its ability of understanding, responding and interacting with people, we can greatly improve the cognitive and decision-making methods in the battlefield, promote the technical upgrading in key areas, and realize the optimization iteration of combat capability.

From the point of view of data and subsequent development, generative artificial intelligence technology is a more advanced neural network deep learning algorithm, which has high requirements for training data, depends on the authenticity of training data and is easily disturbed by external information. Because of the long training time and billions of parameters, automatic machine learning is needed for multiple lines to generate better calculation results. Therefore, when transforming the technological achievements of generative artificial intelligence, it is necessary to take into account the parameterization requirements of scientific research technology development and the automation requirements of equipment application development, so as to achieve the balance between scientific research liquidity and industrial productization.

Generative artificial intelligence has brought a new paradigm to military applications and set a new route for the next generation of military operations. It is the main problem to apply generative artificial intelligence technology to the military field to actively explore the representation form of situation awareness and decision-making tasks for different military problems and consider how to use effective information for large-scale pre-training. The combination of artificial intelligence technology and military operations and technological innovation will reserve new ways for situation awareness and independent decision-making in future operations, and realize intelligent support for the development of new military equipment.

Wanshili answered investors’ concerns on the investor relations platform on February 6.

Investors:It is disclosed in the company’s prospectus that the company entrusts Microsoft to develop a silk scarf question-and-answer robot. Does it involve artificial intelligence interactive technology (chatgpt)? At present, Microsoft has invested heavily in OpenAI’s chatgpt, which is a brand-new track. Does the company have any new prospects for artificial intelligence interactive technology in the future?

Director of Wanshili:Dear investors, hello! At present, the company’s "West Lake No.1" artificial intelligence technology research and development upgrade cooperates with Beijing Hongmian Xiaobing Technology Co., Ltd.

Investors:AIGC, which is the content automatically generated by artificial intelligence, is a new content creation method after professional production content (PGC) and user production content (UGC), and has been widely used in the creation and generation of text, pictures, videos and other materials. Does the West Lake No.1, which Wanshili cooperates with Microsoft at present, have the function of automatically generating pictures that users like by inputting a paragraph of text AI? Can it be understood as having AIGC technical reserves?

Director of Wanshili:Dear investors, hello! The company’s "West Lake No.1" platform capability is mainly based on professional production content (PGC) module training to generate personalized creative scarves. At present, the platform has the ability to automatically generate the silk scarf design works that users like through user’s customization needs and option analysis.

Investors:Dear Secretary-General, Microsoft has recently proposed deep cooperation with openAI to promote artificial intelligence. Is the aesthetic and creative platform for artificial intelligence research and development of Xihu No.1 jointly developed by your company and Microsoft still continuing to cooperate?

Investors:Souvenirs of the Hangzhou Asian Games have recently exploded. Is the company a licensed commodity manufacturer for the Asian Games? In addition, are clothes made by the company?

Director of Wanshili:Dear investors, hello, the company is the official formal dress supplier of Hangzhou Asian Games, an offline retail enterprise and a licensed manufacturer of silk products.

The third quarterly report of Wanshili 2022 shows that the company’s main income is 410 million yuan, down 18.98% year-on-year; The net profit of returning to the mother was 15.0354 million yuan, a year-on-year decrease of 70.13%; Deducting non-net profit-844,500 yuan, down 101.77% year-on-year; In the third quarter of 2022, the company’s main revenue in a single quarter was 137 million yuan, down 25.57% year-on-year; The net profit returned to the mother in a single quarter was 8,847,900 yuan, a year-on-year decrease of 38.31%; The non-net profit deducted in a single quarter was 5,824,300 yuan, a year-on-year decrease of 60.92%; The debt ratio is 18.47%, the investment income is 196,300 yuan, the financial expenses are-2.734 million yuan, and the gross profit margin is 37.64%.

The unit has no institutional rating in the last 90 days. In the past three months, the net inflow of financing was 17.8673 million, and the financing balance increased; The net inflow of securities lending was 0.0, and the balance of securities lending increased. According to the financial report data in recent five years, the Securities Star valuation analysis tool shows that the moat of competitiveness in Wanshili industry is poor, the profitability is average, and the revenue growth is poor. There may be hidden troubles in finance, and the financial indicators that should be focused on include: accounts receivable/profit rate, inventory/revenue rate increase, operating cash flow/profit rate. The stock has a good company index of 1.5 stars, a good price index of 1.5 stars and a comprehensive index of 1.5 stars. (The index is for reference only, and the index range is 0 ~ 5 stars, with a maximum of 5 stars)

Wanshili’s main business: R&D, design, production and sales of silk-related products.

The above contents are compiled by Securities Star according to public information, and have nothing to do with the position of this website. Securities Star strives for but does not guarantee the accuracy, completeness, effectiveness and timeliness of all or part of this information (including but not limited to text, video, audio, data and charts). Please contact us if you have any questions. This article is for data collation, and does not constitute any investment advice for you. Investment is risky, so please make a careful decision.

[Zheng Xing Dong Mi Interactive]

This article does not constitute investment advice, the stock market is risky, and investment needs to be cautious.

ChatGPT, a chat robot based on artificial intelligence technology, has recently become a hot topic. According to the latest survey, 50% of enterprises in the United States are already using ChatGPT, and 48% of them even let it work instead of employees. This news triggered a heated discussion among netizens, and everyone discussed and chatted.

In this digital era, the advantages and values of ChatGPT also appear. As an advanced technology application, ChatGPT can improve the efficiency and quality of enterprises and individuals, save time and cost, and create more value and possibilities. For example, in the field of customer service, ChatGPT can provide users with services and solutions 24 hours a day. In the field of code, ChatGPT can quickly write high-quality code; In the field of copywriting, ChatGPT can generate attractive copywriting according to the target audience and scenes, and so on. Moreover, the increasing popularity of ChatGPT also shows that the demand for intelligent services in human society is growing.

However, we also need to see the problems and challenges existing in ChatGPT. As a robot based on data and algorithms, ChatGPT is not perfect. It may have errors, deviations, loopholes and so on, and it is difficult to control its behavior and consequences. For example, in terms of data security, ChatGPT may disclose or abuse the private information of users or enterprises; In terms of ethics, ChatGPT may violate or destroy social norms and values; In terms of legal liability, ChatGPT may cause or participate in some illegal or infringing acts and so on.

Break a million users in a week and have 100 million users in two months.

Of course, ChatGPT needs to constantly improve its technology and functions in the future development, especially in data security and ethics. ChatGPT developers need to seriously think about chatting.

In this ever-changing era of science and technology, the appearance of ChatGPT has brought many new opportunities and challenges to mankind. As human beings, we need to master the control ability of science and technology, use it with the right attitude and methods, and keep up with the development and changes of science and technology to maintain our competitiveness and innovation ability.

Therefore, ChatGPT is both a friend and an enemy of mankind. It has brought us unprecedented convenience and efficiency, but it also requires us to use and manage it more rigorously and carefully. I don’t know if you are expecting or resisting the pressure that AI will bring us in the future.