Not afraid of the big Paris single-core operation, but afraid of the boss’s control variables.

I am not afraid of the single-core operation in Paris, but I am afraid that Boss Mei will control the variables. If it is an accident that the mother director was injured after missing a penalty in the opening stage, it is more like a silent demonstration that Messi led the team to complete the goal in the second half.

Remember the fans’ cynicism about Messi after losing in the last round in Paris? The team lost the game, but the fans pointed their finger at Messi. Some people doubted Messi’s ability to lead the team. Some even said that Messi had no desire to win after playing the World Cup and was completely flat in the club. However, in this game, without Mbappé, Messi played the level of single-core combat when playing in the World Cup. His excellent overall situation and superb passing repeatedly tore open the opponent’s defense line, and finally helped Barley win the game.

Boss Mei’s panting expression after the game shows that he didn’t lie flat as people say, but tried his best. No wonder some people say that they are not afraid of the single-core operation in Paris, but they are afraid that the coal boss may strengthen the control variables. Messi’s core position in the team is the key to winning in Greater Paris. Let Qiu Wang become Mbappé’s deputy, which will only destroy the last green glory of Boss Mei.

The Rise of ChatGPT in China

In recent years, China has made great progress in the development of science and technology, especially in the field of artificial intelligence. In this field, the China version of ChatGPT has also gradually emerged.

As a large-scale language model similar to ChatGPT, China version of ChatGPT can be applied to natural language processing, dialogue and interaction by using artificial intelligence technology. Compared with other language models, China version of ChatGPT performs better in Chinese context, and its accuracy and naturalness have been recognized by many users.

Technically, China version of ChatGPT also has some unique innovations. For example, it combines many technologies, such as big data analysis, natural language processing, speech recognition, etc., and forms a complete technical ecosystem. At the same time, it can also be deeply integrated with other intelligent hardware and applications, providing users with a more convenient experience.

In addition to technological innovation, China version of ChatGPT also pays attention to users’ attention and service. In terms of user interaction, it can carry out intelligent dialogue, intelligent search, voice recognition and other operations to help users solve problems and provide information. At the same time, it can also recommend content and services in a personalized way according to users’ preferences and needs, so as to meet the diverse needs of users.

In addition, the China version of ChatGPT has been supported and promoted by the government. In recent years, the government of China has vigorously developed the field of artificial intelligence, and provided many policy support and financial support for enterprises and scientific research institutions. This support and promotion also provided a strong guarantee for the rise of China version of ChatGPT.

To sum up, the rise of China version of ChatGPT is a microcosm of the rapid development of artificial intelligence in China. It not only embodies the strength of scientific and technological innovation in China, but also provides users with a more intelligent, convenient and personalized service experience. I believe that in the future, China version of ChatGPT will continue to develop and grow, and become an indispensable smart partner for more users.

In the process of the rise of China version of ChatGPT, there are still some noticeable trends and challenges.

First of all, with the more and more extensive application of China version of ChatGPT, more and more data and content are involved. How to deal with these data and contents effectively and improve the efficiency and accuracy of the algorithm is an urgent problem to be solved. At the same time, how to protect users’ privacy and data security is also an important work.

Secondly, the development of China version of ChatGPT is also facing the challenge of international competition. On a global scale, language models and artificial intelligence technologies similar to ChatGPT are also developing rapidly, and the competitive pressure is increasing. China version of ChatGPT needs constant innovation and progress to improve its core competitiveness.

In addition, the application scenarios of China version of ChatGPT also need to be continuously expanded and deepened. At present, it has been widely used in many fields, such as customer service, smart home, medical care, finance and so on. In the future, it can be further extended to more fields, such as education, culture and art, to provide users with more comprehensive and personalized services.

In a word, the rise of China version of ChatGPT not only represents the progress in the field of artificial intelligence in China, but also contributes China’s wisdom and strength to the development of global artificial intelligence technology.

Three minutes to help you understand Chat GPT.

ChatGPT, which is very popular on the Internet recently, was released at the end of November 2022 by OpenAl, an Al laboratory invested by Microsoft. It can simulate human language behavior and interact naturally with users.

What can ??ChatGPT do for us?

1. Generate text: ChatGPT can generate relevant text according to the user’s input, such as stories, articles, poems, etc.

2. Answer questions: ChatGPT can answer all kinds of common questions, such as history, geography, mathematics, science and so on.

3. Communication and dialogue: ChatGPT can have a dialogue with users to help them solve problems and obtain information.

4. Recording and reminding: ChatGPT can help users record information. Such as schedules, lists, etc., and remind users when appropriate.

5. Speech recognition and synthesis: ChatGPT can support speech recognition and synthesis, and help users complete voice control tasks.

How do we deal with it?

Learn to use ChatGPT as a tool.

Improve your core competitiveness and improve your own value.

Will create more new jobs.

What is the inspiration for children’s education?

What is irreplaceable by artificial intelligence? It is the child’s creativity, imagination and emotional power.

Because compared with artificial intelligence, people are always smarter.

Therefore, it is most important to cultivate children’s ability to find problems, think about problems and use various tools to help them solve problems.

ChatGPT is the development trend of the times, and it is the general trend for children to learn programming

Artificial intelligence education with programming course as the core is to train people in the future.

The important direction of talent, innovative ability, speculative ability and practical ability, etc.

Ability is an important criterion for judging talents in the future, and learning programming courses can not only enable children to explore the field of artificial intelligence earlier, but also cultivate children’s various abilities needed to adapt to future competition.

The captain broke the news: Tottenham Hotspur will not be in harmony, Watford will change coaches again, and Neymar will be reimbursed for the season.

"Captain broke the news" on March 11th.

[Kawasaki striker adjusts defense for the fifth consecutive game]

Kawasaki striker announced the starting lineup of this round of Japanese jobs. Due to the injury of foreign aid central defender Jahir, the team used different five sets of defense combinations in the opening four rounds of league matches and one UFJ Cup, but Kawasaki striker never finished zero in previous games.

The first round: Yamamoto Shirai, Jahir, Cheya Shintaro, Sasaki Xu.

The second round: Shangen Shilai, Shancun Heye, Da Nan Tuomo, and Orange Tian Jianren.

The third round: Yamamoto Shirai, Jahir, Dainan Tuomo, Sasaki Xu.

UFJ Cup: Matsunaga Hirohito, Yamamura Kazuyoshi, Dainan Tuomo, Sasaki Hiroshi

The fourth round: Yamamoto Shirai, Yamamura Heye, Dainan Tuomo, Sasaki Xu.

[bielefeld Sports director+coach dismissed]

In the last round, bielefeld led by 3 goals, and was tied by Brunswick 3-3. The relegation situation is still in jeopardy. On the second day after the game, Sports director Arabi, who has served for 12 years, was dismissed. A day later, the second head coach of the team this season, Shernin, was also fired. Scherning started coaching the team last September, with a total of 6 wins, 3 draws and 10 losses in the league, which is slightly better than his predecessor, but still can’t help the team out of trouble. Bielefeld immediately announced the new head coach, Ke Ginart, who coached in low-level leagues most of the time, only coached Sandhausen for two years in the Bundesliga in 2018-2020, and led the team to the 10th place in the Bundesliga in the whole season.

[There are 4 players suspended from the Australian Super League in this game]

In the Australian Super League match between the Central Coast sailors and MacArthur FC, four players from both sides were suspended and could not play. The Central Coast Mariners are without the No.2 striker winger En Kololo (5 goals in 18 rounds), the main central defender Kartak (2 assists in 16 rounds) and the short-term substitute striker Morais Che (2 rounds). MacArthur, on the other hand, lacked the main winger Noon (4 assists in 15 rounds), which was his second consecutive suspension. MacArthur was forced to adjust his formation in the last round because of the lack of corresponding substitutes on the wing.

[After the Champions League exit, Tottenham Hotspur will not be in harmony]

In the second leg of the Champions League quarter-final which ended on March 9, Beijing time, Tottenham drew 0-0 with AC Milan at home, and the total score was eliminated 0-1. Brazilian striker Risalesson served as a substitute in this game and was replaced in 70 minutes. After the game, Rishalison said in an interview that he didn’t understand why he came off the bench, and no one told him the reason. Later, he even compared this season to "relying on defense". (After Rishalison joined Tottenham Hotspur, the Premier League still scored 0 goals, and the only two goals were in the Champions League)

At the pre-Premier League press conference of Tottenham Hotspur against Nottingham Forest, Kong Di was naturally asked relevant questions, and "Kong Ertui" also spoke bluntly, directly indicating that Rishalison’s metaphor was correct, and pointed out that Rishalison’s words were somewhat self-centered. This time, Rishalison and Kong Di fired at each other, reflecting that there are some problems in Tottenham’s dressing room at present.

[Menxing’s main goalkeeper continues to be injured]

In the 22nd round of Bundesliga, Mainz beat Menxing 4-0, and Omlin, the main goalkeeper of Menxing, was injured and left the game. He will continue to be injured in this round. In addition to Omlin, 21-year-old German goalkeeper Olshovsky of Menxing team is also in a state of recovery, and the only goalkeeper the team can rely on is 34-year-old Cipel. Last week, at one time, all four famous men in Menxing were absent from training due to injury. Fortunately, Cipel’s injury is not serious, and he can continue to play in this round of competition.

[Watford changes coach again]

Watford announced this week that bilic, the team’s former head coach, was dismissed. This is the second time that the team has changed coaches this season. bilic took office only last October. Watford has only won one game in the last eight rounds of the Championship, and has fallen to the 10th place in the standings. At this node, he decisively chose to change coaches again, striving to hit the top six in the standings and get a play-off seat. Waterford’s new coach is Wilder, who has previously coached English teams such as Northampton, Sheffield United and Middlesbrough. During the coaching of Sheffield United, Wilder led the team to win the British Championship runner-up in the 2018/19 season and won the 9 th place in the Premier League in the following season.

[Neymar season reimbursement]

In the Ligue 1 match about three weeks ago, Paris narrowly beat Lille 4-3 at home. Neymar made a cross in the match, but left in the 51st minute due to injury. This week, Paris Saint-Germain officially announced that Neymar will undergo surgery to repair the ligament of his right ankle and confirm the reimbursement for the season. This season, Neymar made 20 appearances in Ligue 1, contributing 13 goals and 11 assists. Since the World Cup, it has been difficult for the three stars in Paris to get together because of injuries and holidays, which led to a decline in their record, including the Champions League, which was eliminated by Bayern this week.

[Niol’s new coach took office in the first battle]

Niol, a French team, recently announced the appointment of a new coach, Bernade Simondi, and signed a contract until the end of this season. Simondi has been away from French football for more than 20 years. In recent years, he has spent most of his time coaching in West Asian and African countries, and has coached Moroccan U23, Qatari U23, Burkina Faso, Guinea and other national teams.

Niol has experienced two official coaches and an acting coach before. At present, the team ranks at the bottom of French B with a record of 6 wins, 5 draws and 13 losses. However, it is only 4 points away from Bo, a safe area, and there is still hope of relegation. After Simondi takes office, Acting Coach Giomogo will return to teaching assistant position to continue coaching the first team.

[Even hit, Dortmund is short of people on the sidewalk]

Dortmund has been continuously affected by injuries recently, especially the lack of people on the sidewalk. At present, Dortmund’s usual 4-5-1, three starting candidates on the wing, Brandt (23 rounds, 8 goals and 4 assists), Adeyemi (16 rounds, 3 goals and 2 assists) and Royce (15 rounds, 4 goals and 4 assists), are reported to be unable to play in the Ruhr Derby. Brandt was injured against Chelsea, Adeyemi has not yet returned, and Royce is suspected of playing with a cold. Among them, Brandt is very important in the current Dortmund lineup. Before losing in the Champions League, he won 10 consecutive games. Brandt all started and directly participated in 6 goals.

"official website in the Bundesliga" predicted that Dortmund’s two starting wingers were Reina and Mullen, and the complete prediction was as follows: korbel, Ryerson, Jule, Schlotterbeck, Guerrero, Ozcan, emre can, Bellingham, Reina, Alai and Mullen.

VCSEL "Core" Strength and Ruishi Technology Help the Localization of Laser God Smart Lidar to a Higher Level.

Recently, Radium Intelligence and Ruishi Technology have reached a friendly strategic cooperative relationship. Based on the principle of mutual benefit, mutual trust and win-win cooperation, the two sides have launched deep vertical industrial chain cooperation in the field of VCSEL lidar.

Hu Xiaobo, Chairman of Radium Intelligent, signed a strategic cooperation agreement with Wang Yang, Chairman of Ruishi Technology.

VCSEL chip has the advantages of high photoelectric conversion efficiency, small divergence angle, good beam quality, good wavelength stability, high reliability, low threshold current, low power consumption, small size and easy integration, and the cost of mass production can be controlled, so it is the best choice for vehicle-mounted hybrid solid-state laser radar and FLASH laser radar. VCSEL chip helps the vehicle-mounted hybrid solid-state laser radar to achieve longer detection distance, higher sensing accuracy and meet a series of stringent requirements such as human eye safety. It can also help FLASH lidar to achieve a more flexible and wide field of view, and it has a great cost advantage.

Because the manufacturing process of VCSEL chips is demanding and the mass production is difficult, most VCSEL chips on the market are monopolized by international manufacturers. However, in recent years, domestic VCSEL chips are rising with a rapid momentum, and "Ruishi Technology" is such an enterprise that can meet the demand of "looking for domestic substitute products".

"Ruishi Technology" has broken through the bottleneck of the existing technology, not only has the industry’s top chip design ability and large-scale delivery ability, but also has built a rare VCSEL chip vehicle level test and reliability certification laboratory in China. The technological advancement has reached the international first-class level, and related products have passed the vehicle level certification and have been mass-produced on the vehicle.

Hu Xiaobo, Chairman of Radium Intelligent, signed a strategic cooperation agreement with Wang Yang, Chairman of Ruishi Technology.

Radium Intelligence is the earliest lidar company in China that began to lay out vertical industrial chain resources, and it is also a state-level high-tech enterprise with pure domestic investment. It has always regarded "building all-domestic lidar" as an important strategic direction for enterprise development, devoted itself to improving the performance of domestic lidar, and laid out the R&D investment of FLASH lidar. The strong alliance with Ruishi Technology means that China’s laser radar transmitter chip technology is no longer restricted by international factors, and the domestic technology level has also reached the international advanced level, and it has the cost advantage of localization, laying a solid foundation for the large-scale application of high-performance laser radar.

Photo of Radium Intelligence and Ruishi Technology

On the intelligence of radium god

On September 27th, 2022, Laser God Smart Car Gauge Lidar was invited to participate in the theme achievement exhibition of "Endeavour in a New Era", and it was the only representative of a lidar enterprise in the "Between Square Inches" unit.

Shenzhen Laser Intelligent System Co., Ltd. was established in February 2015. It is a state-level high-tech enterprise with pure domestic capital. With strong independent research and development strength, it has become the world’s leading provider of full-scene lidar and overall solutions, and is committed to building domestically produced high-performance lidar and industrial application solutions, adhering to the mission of "making driving safer, making machines smarter and making life better". With high-end, stable and reliable lidar environmental awareness technology, the industry will be upgraded, and the services will cover ten industrial ecological circles such as autonomous driving, intelligent transportation, rail transit, general aviation, robotics, intelligent logistics, high-end security, ports, surveying and mapping and industrial automation, creating value for customers with outstanding and different perception products, and building a golden age of intelligent perception based on the world.

Radium Intelligence has always adhered to "professionalism, innovation and quality". After eight years of hard work, it has been recognized by the national and provincial governments and won the second prize of the National Science and Technology Progress Award in 2020. It is the winner of the new generation of artificial intelligence industry innovation key tasks selected by the Ministry of Industry and Information Technology, and has been selected into the list of national "specialized and innovative" small giant enterprises. It is the only laser radar engineering technology research center in Guangdong Province.

At the same time, Radium Intelligence has mastered four measuring principles, such as TOF time-of-flight method, phase method, trigonometry method and FM continuous wave, and has the mass production capacity of 1550nm and 905nm gauge lidar, built a complete lidar product matrix, and deeply integrated vertical industrial chain resources, and independently developed and produced key core devices such as laser radar transceiver integrated circuit chips, 1550nm fiber lasers and more than ten kinds of high-power core devices. He also mastered the semiconductor packaging technology, established the automatic and semi-automatic production line of lidar, and completely solved the technical problem of lidar, one of the 35 key technologies that were "stuck in the neck" in China, and was reported by People’s Daily.

What industries can be changed by establishing the National Data Bureau?

Produced by Tiger Sniffing Technology Group

Author | Qi Jian

Editor | Chen Yifan

Toutu | vision china

Data elements are becoming more and more important.

On March 7, 2023, according to the Xinhua News Agency, the National Data Bureau was established according to the State Council’s proposal to submit the institutional reform plan of the State Council.

The National Bureau of Data will be responsible for coordinating and promoting the construction of basic data systems, coordinating the integration, sharing, development and utilization of data resources, and coordinating the planning and construction of digital China, digital economy and digital society, which will be managed by the National Development and Reform Commission.

The establishment of the National Data Bureau will be more conducive to mobilizing all resources to comprehensively promote the construction of digital China and the development of digital economy.

"The most practical contradiction in front of data circulation is the ownership of data and the security of data. Data ownership and security issues are big issues involving public interests, and no institution or enterprise can solve them. " Guo Zhaohui, chief scientist of Shanghai Youye Information Technology Co., Ltd., told Tiger Sniff.

Therefore, the consensus of many experts and industrial people is that the establishment of a national data bureau can better solve the urgent problems faced by the development and utilization of data elements resources at the national level. For example, at present, the domestic data infrastructure system needs to carry out a series of system construction in terms of data confirmation, circulation, transaction, rights distribution, security and compliance, and provide institutional guarantee for the cultivation of data elements market.

Institutional guarantee of data factor market

On February 26th, Peng Lihui, Secretary-General of china electronic chamber of commerce, introduced that in 2021, China’s data element market will be about 81.5 billion yuan.It is estimated that the compound growth rate of market scale will exceed 25% during the "14th Five-Year Plan" period, and the scale is expected to approach 200 billion yuan by 2025.From the perspective of subdivision, the market scale of storage, analysis and processing of data elements all exceeds 15 billion yuan, laying a solid foundation for the resource utilization of data elements; The industrial scale of data transaction and data service reached 12 billion yuan and 8.5 billion yuan respectively.

However, as an important factor of production, the current market system is not perfect, and the basic systems such as data property rights and transaction circulation need to be formulated and improved urgently.

Guo Zhaohui gave an example to Tiger Sniff. Taking the medical industry as an example, from the aspect of medical treatment, the data in China’s medical field is very huge. China has a large population, and every hospital has a large number of patients and diseases data. However, due to the poor data circulation, each hospital can only fight on its own and cannot establish a unified data system. This not only increases the difficulty for patients to seek medical treatment, but also greatly hinders the development and progress of medical system and medical technology. Even from the perspective of technological development, the research and development of medical AI needs to mobilize data from all parties to "feed" AI, but if the data factor market is not opened, and the data in the medical industry is relatively scattered, it is necessary to consider the protection of patient privacy, which makes it difficult for relevant R&D enterprises to obtain data, thus hindering the research and development of technology.

In many industries, some enterprises and research institutions have thought about data alliance, but in practice, such alliance is extremely difficult to promote.For example, for training large models, a large amount of data is needed.This brings huge workload to data cleaning, screening and standardization.They also hope to cooperate with enterprises with a large amount of data, so that the amount of data is larger and the quality is better, but the reality is that enterprises are often reluctant to share these data. Guo Zhaohui said that because these data alliances have no administrative and law enforcement rights, it is difficult to actually promote data circulation.

Even the big data exchange established in the past few years is facing an embarrassing situation. Previously, a survey conducted by Nandu Big Data Research Institute found that at present, local data exchanges generally require enterprises to provide compliance assessment certificates issued by professional lawyers for each transaction before entering the transaction, that is, the so-called "assessment once entering the market". However, this has greatly increased the cost of enterprises’ entry transactions, and the related supervision mechanism is not perfect, which leads enterprises to "dare not enter the market" and "unwilling to enter the market". This actually prevents data resources from being used to a greater extent.

In the enterprise search, "data transaction" is used as the key word to search the enterprise name, and there are 57 operating companies whose operating status is surviving, in business and established. Many major cities and industrial bases in China have set up their own data exchanges, including Beijing, Shanghai, Shenzhen, Guangzhou, Guiyang, Suzhou and Hangzhou. Provincial data exchanges have also been established in Hunan, Hubei and Fujian.

So what is the actual trading volume of these exchanges? Take Guiyang Big Data Exchange as an example. Guiyang Big Data Exchange was officially put into operation in 2015. It is the earliest batch of data exchanges in China. Up to now, the exchange has accumulated 502 data vendors and 21 data intermediaries, with a total of 800 products and 438 transactions, with a total transaction volume of 734 million yuan.

Fan Yuan, chairman of Hangzhou Anheng Information Technology Co., Ltd., has worked hard in the field of data security for many years. According to Fan Yuan,The establishment of the National Data Bureau can better coordinate and promote the construction of the basic data system, and coordinate the integration, sharing, development and utilization of data resources.In this way, it can provide richer data resources and more efficient data acquisition channels for the big data industry, and provide a broader space for big data applications and data element markets.

Fan Yuan also put forward an important aspect, that is, the establishment of data standards. For a long time, there has not been a practical and effective unified standard for the transaction and circulation of data, which has also brought a lot of trouble to data work. Fan Yuan said that the National Bureau of Data will be responsible for promoting data standardization and standardizing various data formats and data structures, which will help improve the efficiency and accuracy of data exchange, accelerate the establishment of a data classification and classification protection system, and make the big data industry more standardized and standardized.

Tighter supervision

"If you don’t open the interface of data sharing, then such a large data resource in China can’t be played well." Guo Zhaohui believes that the development of intelligence can only be achieved based on data sharing. However, the main reasons for the difficulty in data sharing and slow circulation are not only the failure to clearly confirm the rights and formulate standards, but also the safety and compliance issues.

Fan Yuan said that after the establishment of the National Data Bureau, it will be responsible for the supervision and security management of national data resources, which will mean stricter data security standards and regulatory requirements, and make the risks of data leakage and abuse more effectively controlled.

Or take the data exchange as an example. Ideally, more data should circulate in the exchange. However, due to the lack of supervision, some data flows have gone off-site and even entered the "black market".

According to the "2022 Data Asset Leakage Analysis Report" released by Internet security research institutions threatening hunters on March 3,In 2022, there were more than 3,200 cases of data leakage in China, nearly double the number in 2021.There are a wide range of data leakage channels, with anonymous society software accounting for over 75%. In the distribution of data leakage industries in 2022, finance, logistics and e-commerce industries occupy the top three. Among the main reasons for data leakage in 2022, operator channel leakage accounted for the first place. In the underground black market data transactions, about 71% transactions disclose the amount of data sold, among which "small-scale real-time data" with the transaction data level below 10,000 exceeds 73%, which has become the mainstream of data transactions.

In terms of data security, the GDPR of the European Union is called "the most stringent data protection regulation in history", while the protection of personal information in the United States focuses on industry self-discipline. Tiger Sniff asked a number of professionals and legal professionals, and the consensus was that China would adopt a regulation between the United States and Europe. After all, if it was too strict, it would restrict the development of the industry. Today, in terms of data security protection, China has the Cyber Security Law and the Personal Information Protection Law, which came into effect in November 2021. However, more detailed rules and norms are needed in the landing of specific practical problems.

At present, the national data bureau should focus more on public utilities, government affairs, and areas with large data and great influence on the national economy and people’s livelihood. It may play a relatively small role in promoting those industries with strong personalization or more subdivision standards.

This is also the consensus of the industry. Fan Yuan’s view is that the National Bureau of Data will promote the industry to a more stable development direction, especially for Party B, which provides products and technical services for the government industry. For example, for domestic relational databases and big data storage engines, it will be beneficial to domestic companies such as chips, storage, operating systems and processors at the data level for a long time.

Specifically, how to land in the industry, Cui Xiangyu, assistant vice president of Beijing Haitian Ruisheng Technology Co., Ltd., suggested that scientific research institutions, enterprises and other industrial entities should be specially supported to form innovative consortia, and joint research should be carried out on key technologies and capabilities to enhance the value of data elements, and the transformation and application of results should be accelerated to activate the potential of data elements and release the value of data elements. It is necessary to strengthen the research and construction of the basic data supply capacity of large models, such as building an integrated basic data resource supply service platform, a digital computing integrated service platform, artificial intelligence data sets of key industries, data services based on blockchain and privacy computing, and other new infrastructures to consolidate the data base of the digital economy.

On the other hand, the suggestion is to actively explore and support the establishment of national data factor market cultivation experimental zones in many places, and guide the market-oriented entities such as telecom operators, platform enterprises and industry leaders to actively participate, so as to achieve breakthroughs in data basic systems, data circulation transactions, data resources and data factor industry ecology, and accelerate the process of data factor market cultivation.

People who are changing and want to change the world are all there. Tiger sniffing APP

U20 national football team beats South Korea! There will be three good news.

On March 12th, Beijing time, the U20 Asian Youth Championship will usher in the quarter-finals. China’s U20 men’s soccer team will play against South Korea’s and China’s U20 men’s soccer team will beat South Korea, which will usher in three good news:

1. China U20 will qualify for the World Youth Championship.

Qualifying for the World Youth Championship is very important for us, because all the echelons of our men’s soccer team have not participated in the world series for a long time, which shows that we have been derailed from the world. If we still can’t qualify for the world series, the gap between us will only get bigger and bigger.

2. Send more football talents to the country.

Judging from this U20 national team, there are still a few good young players in the team, the opportunity maker of captain Alfredo, and every goal in several group matches is related to Alfredo, the brain of U20 men’s soccer team. As the goalkeeper of China U20 men’s soccer team, Li Hao has wonderful saves in every game, which is the most important threshold for our defense.

3. Reject fear of Korea

Although we have broken the fear of Korea before, we can beat South Korea. For our current youth army, we are not afraid of South Korea from the heart. After this group enters the national team, it is also a kind of confidence for the China men’s football team.

Romano: Al Thani thinks he can buy Manchester United and thinks he is the highest bidder.

According to well-known journalist Romano, Al Thani still believes that he can buy Manchester United and thinks his bid is the best.

Romano wrote: "Al-Thani still believes that he can buy Manchester United, and he is still keen on the full acquisition of Manchester United. And Al Thani thinks his bid may be the best. He plans to invest in the team, the youth training system and improve facilities. "

Jingsong Intelligent has joined hands with the beer industry TOP to build a smart factory project with an annual output of 800 million liters!

In 1993, a company specializing in beer production and management was established. After nearly 30 years of rapid development, the company has now become a global beer market leader, with domestic sales far ahead for many years.

While deepening the quality strategy, the company pays attention to the overall transformation and upgrading of intelligent manufacturing. In order to improve the production efficiency of traditional warehousing and realize the intelligence of the whole process of "warehousing, distribution, production and traceability", the enterprise and Jingsong Intelligent reached a cooperation, and both of them successfully built an intelligent factory project with an annual output of 800,000,000 liters with the goal of building an industry-leading world-class factory!

Based on rich case experience in food industry, Jingsong Intelligent integrates "OCMS+TMS+MES+WMS+WCS" and other systems. Through the application of intelligent equipment such as high-position stacker, shuttle car, intelligent AGV and flexible production line, the data link of "man, machine, material, method, environment and measurement" can be connected efficiently, and the storage capacity of vertical warehouse can reach 2070 after completion. The circulation efficiency of 200,000 bottles/hour and 240,000 listening/hour on the production line greatly shortens the product production cycle, increases the space utilization rate, reduces the operating cost, improves the accuracy of decision-making, and achieves the double improvement of production efficiency and product quality.

Customer pain point

Low lack of real-time,

Accurate data monitoring and scheduling management

● Traditionally stacking goods.

Cause insufficient space utilization

● Extensive stacking method increases the risk of material waste and finished product damage.

● The traditional mode of searching for goods by people is characterized by high labor intensity, high error cost and low labor efficiency, and it is urgent to improve the level of intelligence.

With the increasing market orders, the original production rhythm and capacity status can no longer meet the growing market demand.

solution

01 a complete set

Automated logistics system

The logistics system of this project is composed of vehicle management system, truck scale system, automatic three-dimensional warehouse system, etc., to ensure the global information sharing from vehicle entering and leaving the factory, weighing and counting of raw materials and waste trucks, material entering and leaving the warehouse, finished products entering and leaving the warehouse, bottles and boxes stacking entering and leaving the warehouse, and the data can be traced, thus realizing digital and visual management inside the factory.

02 advanced in the industry

Manufacturing technology and intelligent equipment

Jingsong Intelligent is based on the design concept of benchmark three-dimensional library in domestic food industry, and several unconventional designs are adopted in the project.

The international advanced switch technology of double-station heavy-duty circular shuttle bus realizes the frequent control of automatic track change of fork, and the ultra-high flow design supports the simultaneous entry and exit of two batches of goods, which improves the efficiency by at least 2 times compared with single station.

Facing the demand of high-flow empty bottle stacks, Jingsong adopts advanced control system to achieve long-distance and flexible switching of many categories, which is perfectly connected with the production line and realizes efficient operation of automatic online and offline.

The completion and use of 20,776 storage spaces and 27 stackers in the three-dimensional warehouse provide hardware support for finished products, packaging materials, empty tins and other materials to reach the level of unit load of 1,500 kg/Torr and 1,485 Torr/hour when they leave warehousing operation.

03 quick

Intelligent AGV production line transportation system

Seven forklift AGVs replace the original manual electric carts for cross-workshop transportation, which have the functions of material distribution, accessory collection, waste recycling and collection, and realize automatic online and offline packaging materials and automatic waste treatment in the production line area.

The AGVS intelligent scheduling system connects the information interaction between process and warehouse.

Multi-system

Fusion and docking

The TMS, WMS and truck scale systems developed by Jingsong Intelligent are based on the industrial Internet of Things technologies such as "Big Data+Cloud Computing+Artificial Intelligence", and are efficiently connected with the customer’s STTS, OCMS, MES, ERP and other systems. The intelligent, interconnected and ecologically integrated new manufacturing technology meets the large-scale multi-product, customized and green production methods of enterprises, enabling enterprises to quickly respond to market demand and win a broad market.

Project value

Improve storage

After the original ground pile mode was adjusted to elevated warehouse, the storage capacity was increased by 3 times.

Solve the problem of tight delivery

Through the global application of intelligent equipment and system, the uncertainty of manual storage, handling and distribution is avoided, and the whole process is unmanned, which shortens the product production cycle and improves the product delivery efficiency.

Improve management level

Relying on the internet of things technology, integrating digital twin design, intelligent management and information interconnection are realized in the factory area, which is to promote the division.

Learn management and provide digital basis.

Reduce cost and increase efficiency

Through the comprehensive collection and in-depth analysis of the data of "man, machine, material, method, environment and measurement", the effective connection among the warehouse, purchasing end, client end and production end can be achieved, and the accuracy and efficiency of production execution can be enhanced; Reduce material waste and operating cost. The creation of smart factories will help enterprises to produce continuously for 24 hours.

This smart factory project focuses on production scheduling, supply chain coordination and visual monitoring. Intelligent management and control, safety and environmental protection, intelligent warehousing and intelligent distribution are integrated. The smooth implementation of the project will accelerate the pace of intelligent upgrading of the enterprise and provide a set of smart logistics transformation model for the wine industry!

Zhu Guang, CEO of Du Xiaoman: Actively deploy the application of large model technology in the financial field

On March 9 th, Zhu Guang, CEO of Du Xiaoman, said in a signed article that Du Xiaoman has been actively deployed in exploring the application of large model technology in the financial industry.

Large models can be divided into comprehensible large models and generative large models. In Zhu Guang’s view, the comprehensible big model raises the decision-making ability of customer management and risk control to a new height and reduces financial risks; Generative AI will focus on customers, reshape the customer service process and experience, and become an "always-on super financial consultant" and an "all-round business assistant". This means that big model technology is defining a new entrance to the industry.

It is reported that Du Xiaoman has developed a series of applications based on large models relying on Baidu artificial intelligence technology. Taking risk management as an example, Du Xiaoman has applied LLM, a large language model, to the interpretation of Internet text data and credit report. Through the pre-training model constructed with text data and AI algorithm, he can interpret the credit report into 400,000-dimensional risk variables and better identify the credit risk of small and micro business owners. With the iteration of the model, the potential of the large model in intelligent risk control will be further released.

The self-developed voice robot can realize multiple rounds of complex conversations, with a non-inductive rate of 99%, that is, 99% of users don’t know that it is actually a robot talking to themselves, which can replace more than 60% repetitive work in credit business, and is widely used in marketing and collection work of many financial institutions, which greatly reduces labor costs and also has certain emotional recognition ability.

ChatGPT’s semantic understanding ability is also the key investment direction of Du Xiaoman in the field of natural language processing (NLP). In 2021, in the document sorting task of MS MARCO competition held by Microsoft, the NLP team ranked first and set a new record; The XuanYuan pre-training model developed by the team also ranks first in the CLUE classification task.

Baidu’s generative dialogue product "Wen Xin Yi Yan" (English name: ERNIE Bot) based on Wen Xin big model technology opened up ecological cooperation, and Du Xiaoman became the first financial technology company to access it. Next, based on the large-scale model technology base of Wenxin, combined with the financial industry knowledge and data accumulated in Xiaoman’s business scenario, Xiaoman will create a brand-new intelligent customer service, intelligent risk control and intelligent interactive service.

Zhu Guang said that the big model technology like GPT is the core topic of the next generation AI technology contest, which will have a profound impact on the intelligence level and digitization level of the financial industry. Financial technology companies should seize the opportunity window of this technological change, actively explore the application and development of large-scale model technology, and help the financial industry realize the leap from digitalization to intelligence.