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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.

What do you want to say about the scene where bloggers use low code to restore the name of wandering earth？

Recently, a blogger used the low-code tools of an office software platform to restore the video of the classic scene of the movie Wandering Earth 2, which became popular on the Internet.

It is understood that the blogger not only optimizes the efficiency of manually detonating a nuclear bomb in the movie through low-code tools, but also builds a form based on the existing visual template to highly restore the scenes with a sense of future technology such as the underground city lottery system and 3D large-screen display in the movie. Many netizens said that they were shocked by the power of technology!

In-depth analysis of the present situation and development prospect of intelligent manufacturing in China

Recently, the "Government Work Report" was officially released in 2023. The government work report also made important arrangements for the development of industrial industry, emphasizing "accelerating the construction of a modern industrial system, accelerating the digital transformation of traditional industries and small and medium-sized enterprises, and striving to improve the level of high-end, intelligent and green." In view of the difficulties encountered in the process of digital transformation of manufacturing enterprises, Zhang Jianwei, director of Lenovo Consulting and Delivery Center, shared the successful cases of digital intelligence transformation of Lenovo-empowered intelligent manufacturing enterprises, which can provide Lenovo’s practical experience for manufacturing transformation.

The concept of intelligent manufacturing is not a new topic in China. Looking at the development market of enterprises in China, we summarize the core problems that hinder the development of intelligent manufacturing as follows:

Lack of practical methods:With practical methods, enterprises can put their ideas to the ground. At this stage, enterprises are more discussing concepts and strategies, and lack the implementation methods of strategy landing;

Lack of valuable entry point:China’s manufacturing industry is in urgent need of intelligent manufacturing, and the value that intelligent manufacturing can bring to China’s manufacturing industry is also considerable, but from which level and angle should we cut in? It is an important problem that puzzles the CIO/CTO of enterprises;

Lack of best practices:In the absence of best practice cases, China enterprises should rely more on their own self-reliance, cross the river by feeling the stones, and open up a road of their own practice.

As a representative enterprise of China’s advanced manufacturing industry, Lenovo believes that the core of intelligent manufacturing of China enterprises is to aggregate total data, intelligently drive business changes, realize the continuous realization of digital value by solving practical business problems, and then complete the intelligent iterative upgrading of manufacturing industry. To this end, Lenovo has built an intelligent manufacturing panorama with data-driven intelligence as the core. Simply put, Lenovo Intelligent Manufacturing Panorama can be divided into three layers:

The first layer: the element layer.

Focus on the manufacturing factors concerned by the traditional manufacturing industry, including labor equipment, raw materials, process environment and a series of contents, and realize the complete digitalization of the basic level through the digitalization and intelligent upgrading of the manufacturing factors; Realize the interconnection of all things through advanced digital technologies such as industrial internet, integrate production factors together, better form a whole, and play the relevant value of production factors from the perspective of the whole value chain;

The second layer: the operation layer

Based on the interconnection of everything in the factor layer, the data generated in the actual production and operation process of enterprises, such as scheduling, manufacturing, supply chain coordination, logistics management and other key links, are integrated into the business layer, and the business development iteration is driven by data value, thus realizing the realization of data value and intelligent manufacturing value;

The third layer: intelligence

Form a relatively primitive intelligent plan, and carry out a series of business intelligence such as intelligent manufacturing and intelligent supply chain collaboration. After realizing business intelligence, based on the complete digitization of output data and elements, it can realize global visibility and intelligent decision-making for managers, and then move towards the final so-called data-driven. Without decision-making by human beings and intervention by managers, the data-driven business is realized completely through data, artificial intelligence and related digital technologies, and the continuous optimization of the operation and management of the whole enterprise is realized.

After constructing the panorama of intelligent manufacturing transformation, Lenovo carried out the practice of internalization and externalization in the following years, which brought many values to the actual development of manufacturing industry:

Intelligent manufacturing scene landing
Optimization of battery manufacturing process

New energy battery is one of the hot development industries in the world. Based on advanced technologies such as big data and machine learning, Lenovo applied LEAP HD and LEAP AI platforms to build a capacity prediction model to optimize the constant volume process of energy storage batteries.

In the process of battery production, the battery capacity needs to be fixed and divided to determine whether the battery meets the standards. In this process, enterprises are faced with problems such as long time consumption, high space occupation, high cost and high labor consumption. In the whole process optimization scheme, Lenovo has effectively helped customers to improve the on-time delivery rate, inventory cost, capacity utilization rate and comprehensive energy efficiency from three perspectives: key process data processing, accurate model prediction and sustainable development, and realized the optimization of battery constant volume and capacity separation process:

Business consultation:Clear up the key process sections through consultation and communication, including what are the key parameters that affect the quality? Where are the relevant data that affect these parameters? What are the data sources? Help customers to understand the current situation, plan their goals and prepare relevant plans;

Data integration:Through big data technology, a series of data such as related processes and equipment quality inspection are integrated to lay a good foundation for the later artificial intelligence algorithm and ensure the smooth operation of computing power;

AI algorithm implementation:Through the preliminary analysis, the specific data content and the specific core parameters affecting the process are clarified, and the relevant business analysis is carried out to help customers jointly optimize the relevant parameters, so as to achieve the final process goal optimization.

In the process of upgrading and optimization, Lenovo builds a dimension reduction model through logical modeling, including related methods of artificial intelligence and collective learning, to ensure the stability of large-scale data processing, the accuracy of prediction model and the guarantee of sustainable development, and solves the bottleneck of prediction model in actual production and operation by applying multi-strategy network optimization and machine learning model.

After the project was put into production, the construction period in the whole production process was shortened from six days to one day; Product inspection is realized by artificial intelligence algorithm, which improves the overall inspection efficiency and site utilization rate by 30%; Also with the help of artificial intelligence, the number of technicians decreased from 20 to 10. It is predicted that the optimization scheme can save about 270 million manufacturing costs for the production of single battery every year.

Intelligent manufacturing scene landing
Improvement of warehousing logistics performance

In the field of logistics, the focus of transformation is more on the optimization and management of warehousing. Many enterprises, especially those like Lenovo, take up a large part of the inventory cost. If there are too many offline warehouses, it will affect the inventory cost and occupy the whole production market, which may lead to risks for the site and space. If there are too few side libraries, it will lead to insufficient capacity utilization and unable to carry out continuous production reasonably. These two problems can be overcome by enterprises through the warehousing and logistics solutions of digital factories.

Line-side warehouse is also the storage part, which involves not only the warehouse, but also related processes and related equipment, including related information systems. To solve these problems, a complete solution is needed.

In the past, the solutions in the market were mostly piecemeal. If the equipment efficiency is not high, change the equipment and change it to more intelligent equipment. If the information communication is not smooth, increase the information system; If the process is not clear, sort out the process. In fact, this has brought great waste to the investment of enterprises, and the cycle and yield of the whole project will also be greatly reduced. On this issue, Lenovo has adopted a three-part approach.

First of all, help customers smooth the process through preliminary consultation, and identify the pain points, difficulties and problems to be solved in the online library management process. Then, based on the overall scheme, aiming at the combination of hardware and software and the combination of reality and reality, the related storage equipment is upgraded.

At the same time, digital systems such as WMS and WCS can fully mobilize the factors of production between equipment and people, so that these factors of production can better form a closed loop of value under the drive of informationization and digitalization, and improve the overall efficiency, thereby improving the management and application efficiency of the entire line-side library, reducing inventory and improving the continuous productivity of the production line. After practical application, the scheme has improved the overall storage capacity by more than 15%, the distribution efficiency of the roadside warehouse by 25%, and the accuracy of inventory delivery by 100%.

Intelligent manufacturing scene landing
Optimization of planned production scheduling system

As a upstart in the industry, this customer has developed very rapidly in the high-tech industry in recent years, and its business is growing at a rate of 200% or even 300% every year, which also brings great problems. The high-speed business development makes it difficult for its existing information support auxiliary means to provide the required support, which in turn leads to the lower and lower operating efficiency of enterprises, and it is difficult for managers at all levels to control the overall situation and provide scientific and accurate relevant guidance to the business.

Based on this, Lenovo packaged its own digital supply chain package, and used intelligent planning and production scheduling technology as the best practice of endogenous and exogenous strategy landing. Through Lenovo’s similar global delivery mode and complex supply chain network system, it empowered customers to realize the overall digital ability improvement. After the implementation of the project, it has effectively helped customers to improve the on-time delivery rate, inventory cost and capacity utilization rate, including the comprehensive number of people and energy efficiency.

In addition, Lenovo has joined hands with manufacturing enterprises in chemical fiber manufacturing, automobile manufacturing, wind power manufacturing, hydropower manufacturing, hardware manufacturing and other fields to provide digital and intelligent transformation services from hardware to software, which has achieved a comprehensive improvement in the hard power of enterprises.

In the future, Lenovo hopes to co-create its own business practice with its customers’ business, integrate its own computing power and infrastructure capabilities with its customers’ business development scenarios, and join hands with more manufacturing partners to go further and faster in the process of digital modernization and transformation.

＂Out-of-the-box＂ has become a new outlet for ChatGPT entrepreneurship. Listen to what the entrants say.

ChatGPT-led artificial intelligence (AI) storm has become a new outlet, with Baidu, JD.COM, Tencent and other big companies scrambling for layout, Internet tycoons swarming in, and entrepreneurs eager to move. As OpenAI announced the API of ChatGPT model to the world, the market was completely ignited.

A month ago, Wang Huiwen, a billionaire and former co-founder of Meituan, started ChatGPT’s business with a "Hero Post". He invested 50 million US dollars to recruit wise men, and the slogan "Building China’s OpenAI" attracted countless attention as soon as it went out. Later, former Sogou CEO Wang Xiaochuan and former JD.COM Group Senior Vice President Zhou Bowen came out one after another. This wave of AI entrepreneurship has started in a mighty way.

Wang Shao, who is currently doing full-stack development, has long been keenly aware of the new entrepreneurial trend blown by ChatGPT. Since December last year, he has built his own application based on ChatGPT model. A few years ago, he worked in JD.COM, Jinshan and other big Internet companies.

Beside Wang Shao, like him, there are not a few entrepreneurs who feel this wave of technology. "Everyone’s response is very enthusiastic. In many communities, entrepreneurs are integrating the ChatGPT)API into their existing products, including bookkeeping and note-taking, or using the API to make new products. " In an interview with national business daily, he described it this way.

Abroad, entrepreneurs are also aiming at this new trend. Even silicon valley venture capitalists who are in the cold winter of science and technology have poured money into this frontier field. According to market analysis firm PitchBook Data Inc, global venture capital invested $1.3 billion in start-ups developing generative AI software through 78 transactions last year.

Entrepreneurs aim at "out of the box"

Wang Shao is one of the early entrepreneurs who entered the ChatGPT wave. HerAI, which he is developing, is a voice dialogue robot, in which many quick creation tools have been developed based on ChatGPT model, such as short video script, summary, weekly report generation, foreign language learning, cooking, programming and other functions.

He told reporters that HerAI was inspired by the famous movie Her. In this film, the hero Theodore and the artificial intelligence system OS1 have experienced a strange love.

Image source: HerAI

"At present, some users may not be very good at communicating with AI, so we have made these out-of-the-box tools." He said. "Based on the current ChatGPT model, plus some other fine-tuning training can achieve better results."

In foreign countries, the direction that entrepreneurs aim at is similar to that of Wang Shao. Bret Greenstein, a partner of PricewaterhouseCoopers, said (foreign entrepreneurs)Most discussions focus on the "out-of-the-box" characteristics of generative AI.Anyone can access a system for public use directly through the Internet.

Recently, the opening of the ChatGPT model API has ignited the enthusiasm of many developers, especially the news that OpenAI has reduced the cost by 90%. In Wang Shao’s words, "this is a very big change", because for developers, the initial investment in making applications based on this model is mainly the cost of accessing the API.

"OpenAI wants to be an inclusive company for the whole world. Its goal is very big, and the price of the model may drop later. The current price is basically 1000 Chinese characters, and the cost is about 3 cents. At present, such income should cover the cost. " He said.

Every reporter noticed that since ChatGPT became popular all over the world, batches of AIGC companies have sprung up like mushrooms after rain, and many previously established AIGC startups have begun to enter the eyes of investors.

Image source: screenshot of public information

Vertical direction should be used as the main track.

Domestically, venture capital opportunities related to ChatGPT include developing large-scale language models of ChatGPT, which are being done by major Internet companies such as Baidu, JD.COM, Tencent and Alibaba.

Before developing his own AI application, Wang Shao also worked in several Internet giants such as JD.COM, Jinshan and Qunar. Wang Shao told every reporter,In addition to directly studying similar models, big manufacturers also have business applications based on such models.In his view, big manufacturers have their own advantages in making models similar to ChatGPT in China.

"ChatGPT can be regarded as a platform for content text output, and each country has different requirements for its own content security policy. If it is a language model, it has advantages from the domestic point of view. In addition, the model can also be particularly optimized for the Chinese environment. "

butFor the vast majority of entrepreneurs, Wang Shao believes that vertical application based on ChatGPT model is a more feasible direction.

"Most (entrepreneurs) are based on the ChatGPT model, making their own applications, fine-tuning them, and then combining them with products in their own industries, such as education, finance, insurance, and intelligent customer service." Wang Shao told every reporter.

Based on the foreign situation, Bret Greenstein also believes that if the enterprise data is used to fine-tune the basic language recognition model of such tools, countless enterprise software applications can be established.

In Wang Shao’s view, only companies with financial and technical confidence can develop their own models, and it may be difficult for startups to seize this opportunity. "If you make a (large language) model, it is only possible for head companies, such as Baidu and Ali, or companies that can continue to get large investments, because it burns money." He explained.

In fact, before the publication of ChatGPT, domestic AI startups based on the big model field have emerged one after another. Some startups have previously accessed the APIs of other language models (such as Curie, etc.) to explore the establishment of their own ecology. When ChatGPT has become a hot spot of global capital chasing, at this time, how to choose such startups will become a difficult problem?

Wang Shao believes that for these startups, embracing the new model or continuing to develop on the existing ecology may exist at the same time.

"ChatGPT is a general model. For some professional knowledge of specific industries, such as more professional grammar checking or virtual oral English teachers, it is still necessary to train separately. (These startups) can combine the original model with the ChatGPT model, and the functions that can’t be done can be handed over to ChatGPT, and the original functions can continue to be used. " He told reporters.

Subdivide the field to find opportunities

When Baidu, JD.COM, Tencent, Alibaba and other big companies entered the market, the entrepreneurial tide also swept through. How can entrepreneurs survive in the cracks without being squeezed out of the track by big companies? Wang Shao believes that the answer is obvious, and segmentation is the key.

"Large companies generally start with general-purpose products. At the beginning, they will not pay special attention to a certain sub-industry." He said. "(doing) entrepreneurial projects, you can cut in from a certain segment. When you achieve the ultimate in this subdivision, your accumulation of user needs is not easy to be directly copied. Then it will be more competitive to expand into other fields. "

"Because in essence, ChatGPT is a general model and is not good at certain fields. Many entrepreneurs have to specialize in a certain field and can only combine other AI models or fine-tune the model. " Wang Shao told reporters.

The reporter noted that in addition to HerAI, the first batch of entrepreneurs accessing ChatGPT API in China have begun to exert their efforts in various fields, such as cooking, education, shopping and so on.

Image source: RecipesAI

In Wang Shao’s imagination, he also intends to continue to explore in the segmentation field, for example, he plans to integrate more third-party AI services. HerAI has been online for several months. Judging from the user feedback he obtained, "the most appeal may be not limited to the output of words, but to directly generate PPT, tables and even videos."

ChatGPT’s east wind has indeed brought many opportunities, but to truly gain a foothold and play its own world, Wang Shao bluntly said that there are still great challenges, both technically and financially.

"Like I said,It is a great challenge to embed the third-party AI service directly into the conversational chat, which needs constant exploration and verification. In addition, there is a great demand for manpower and funds."He said.

national business daily

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