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ChatGPT is more than just a chat bot.

From chat bots to large-scale language models to ChatGPT, artificial intelligence has not only been a research field, but has been integrated into our lives. ChatGPT became popular on the Internet within the first five days of its debut, with 1 million users. A large part of the concern around ChatGPT is what it can do.

If you want to ask me, what is the value of artificial intelligence ChatGPT besides chat robots? I will tell you without hesitation: there are many more.

1. Text generation makes the language more vivid.

ChatGPT has a wide range of applications in text generation, such as helping people to automatically generate various types of texts, such as news reports, novels, papers, emails, short messages and so on.

Article creation

It can automatically generate high-quality articles according to the theme, style, tone and other elements, edit and modify them, and help writers, journalists, marketers and so on to quickly generate the first draft of articles, saving a lot of time and energy. Improve the quality of articles.

I want to write a modern science fiction novel with the theme of predicting the future. Please give me an outline of the article.

machine translation

While maintaining sentence structure and semantics, we can quickly translate one language into another, including common European languages, Asian languages, Middle Eastern languages and African languages. This is very useful for cross-language communication and cross-cultural communication, and helps people better understand different cultures and values.

Dialogue generation

ChatGPT can use the information and context collected in previous conversations to predict the next possible answer according to the probability model. Maintain consistency and fluency, so that users feel that they are communicating with real people. It plays a great role in intelligent customer service, chat robot, voice interaction and so on.

2. Intelligent sorting and quick tabulation

Sorting and tabulation are very important problems in computer science and are widely used in many fields. ChatGPT provides more efficient and accurate solutions for practical work scenes through natural language processing and machine learning technology.

Sorting aspect

ChatGPT can generate a new list sorted according to specific rules based on the entered numeric or text list. For example, it can be sorted by number size or alphabetical order, or by a custom rule. It extracts key information from user input through natural language understanding, and uses machine learning algorithm to generate ranking results. Users can get the sorting results more quickly without having to write the sorting algorithm manually.

Watchmaking

With the input data information, ChatGPT can generate tables or charts, and summarize and calculate the data. For example, according to the input sales data, it can generate a sales report classified by product or region, and calculate the total sales and average sales for each category, thus helping sales personnel to obtain visual results more quickly and understand and analyze the data more easily.

In addition, ChatGPT can also generate automatic summaries and keywords according to the input text, thus helping users to understand and analyze a large amount of text data more quickly. These functions can improve the work efficiency and accuracy in the field of computer science and provide users with more convenient and intelligent tools.

3. Role-playing, mock interview

ChatGPT’s application in simulated interview includes simulating the roles of interviewer and candidate, generating questions and answers, and simulating different interview situations and scenarios to help candidates better prepare for real interviews. This can provide a more realistic interview experience and help candidates understand the interview process and their performance in different situations.

In addition, ChatGPT can also be used to simulate various interview situations and scenarios. For example, simulate the situation of answering questions in a nervous situation, simulate the situation that the interviewer asks complex or challenging questions, or answer more convincingly when the interviewer asks questions. Through these simulations, candidates can better understand their performance in various situations and make full preparations for the real interview.

4. Help programmers find problems quickly and provide solutions.

ChatGPT also plays an important role in helping programmers find code bugs. Programmers often encounter various problems when writing code, such as logical errors, grammatical errors, algorithm problems and so on, which will affect the performance and stability of the code. ChatGPT provides programmers with effective auxiliary tools through natural language processing and machine learning technology to help them locate and solve problems faster.

Specifically, ChatGPT will generate possible answers to questions and fix code bugs according to code fragments and questions provided by programmers. Through natural language understanding, key information is extracted from programmers’ questions and combined with code fragments to generate possible answers, thus helping programmers find solutions to problems faster and improving work efficiency and code quality.

In addition, ChatGPT will use advanced machine learning technology to provide more accurate and targeted problem-solving solutions by learning and analyzing a large number of code bases and development documents, so that programmers can solve problems faster and improve their programming skills.

5. Inspired, the design is no longer monotonous.

The application of ChatGPT in design will help designers to better carry out creative thinking, design concept discussion, scheme formulation and design draft optimization, and improve the efficiency of designers and the quality of design works.

The source of creative inspiration and the formulation of design scheme

Designers can get related words, phrases, sentences or paragraphs by inputting design-related keywords, thus helping designers to broaden their thinking, broaden their horizons and gain more inspiration and creativity. Further providing detailed information and requirements about the design scheme, such as brand name, positioning, target users, design elements, etc., will generate some design schemes based on this information, helping designers to work out the schemes more quickly.

Discussion on design concept and conception

The designer asked ChatGPT some open questions, such as "How to embody the cultural values of the brand in the design?" "How to combine design elements with user experience?" ChatGPT will generate a series of thoughts and suggestions on these issues to help designers explore and think deeply about design concepts.

6. Excel auxiliary application

ChatGPT can help users complete such work as data analysis, chart making, formula calculation, pivot table, macro writing, etc., and improve users’ work efficiency and accuracy. At the same time, ChatGPT will also provide skills and suggestions on the use of Excel to help users better use Excel to complete various tasks.

7. Music creation

We can use ChatGPT to generate lyrics, melodies, chords, rhythms and other elements to assist music creation. At the same time, it can also be used as a creative inspiration tool to generate creativity and inspiration by inputting some keywords or themes, which can help musicians broaden their thinking and improve their creative efficiency. In addition, ChatGPT can also be used in natural language processing and music analysis in the music field to support the development of the music industry.

Since the development of artificial intelligence, it has changed from simple data simulation to intelligent driving. ChatGPT is not just a chat robot, it is providing services for us in a brand-new way, and its diversified ability can make this new technology improve efficiency and quality for both individuals and enterprises.

ENI live broadcast room： three steps to build a smart factory in process industry

How many stages are there in the construction of smart factory in process industry?

How to make the overall framework of IT planning when the growth enterprises are intellectualized?

Why do enterprises need process management, when do they do it, where do they start and how do they do it?

On March 8, 2023, in the CIO live broadcast room of "Planning Elements and Paths of Digital Intelligence Construction of Process Manufacturing" jointly sponsored by ENI Economic and Information Network and Dell Technology Group, Wang Yimin, head of information technology in China District of Singapore Golden Eagle Group, shared the stage, construction value and path of intelligent factory construction in process industry; Qiu Feng, an intelligent manufacturing expert of China Printing Machine Industry Association and an instructor of Beiyin Graduate School, shared enterprise process management in detail through five W1s. Wu Tianyao, a senior industry consultant of the Empowerment Center of the Infrastructure Division in Greater China of Dell Technology Group, demonstrated the value of innovative technology in the digital transformation of enterprises based on the solutions of Dell Technology Group and the sharing of cases.

"CPS is the essence of intelligent manufacturing". In the keynote speech of "Planning of Smart Factory in Process Industry", Wang Yimin, head of information technology in China District of Singapore Golden Eagle Group, introduced the key points of building smart factory in process industry from the aspects of real-time transparency of production process, standardized management of operation and traceability of the whole process.

The construction of intelligent factory is divided into three stages: digitalization and automatic control, networking and intelligence. Wang Yimin introduced that the digitization and automatic control stage is mainly to digitize scenes, environments, equipment, objects, processes and processes. At this stage, the key work of enterprises focuses on industrial sensor installation, industrial process data collection and industrial real-time data collection; When the enterprise enters the networking stage, it will be transformed into the construction of collection and transmission network, the integration of production software and hardware, the collaborative construction of bottom automation, the construction of internal and external high-speed data networking, and the construction of industrial internet and cloud; At the intelligent stage, the key points of enterprise’s smart factory construction will be reflected in digital twin technology construction, cloud computing big data construction, data visualization and artificial intelligence application, intelligent operation inside and outside the factory and product life cycle.

90% of manufacturing enterprises in China are small and medium-sized enterprises. In the keynote speech "The Path and Application Scenarios of Digital Intelligence for Growth Enterprises", Wu Tianyao, a senior industry consultant of Empowerment Center of Infrastructure Division in Greater China of Dell Science and Technology Group, introduced the overall framework of IT planning for digital intelligence for growth enterprises, and shared the Top Design Report, Architecture Design Report and Project Planning Report with guiding value.

As the world’s leading provider of consulting services and IT products, Dell Technology Group can help enterprises to establish a digital factory integrating R&D, procurement, manufacturing, storage and transportation, sales and service, and realize vertical integration of the factory and horizontal integration of the enterprise value chain. Through intelligent IT technology+intelligent IT service, and adopting unique methodology, the supply chain collaboration mode is designed to create a comprehensive digital factory transformation scheme.

In addition, Wu Tianyao also introduced Dell Streaming Data Platform–SDP, edge computing platform, and Dell technology AI-ready solutions. For growing enterprises, Dell Technology provides subscription-based IT consumption model APEX FOD, which enables enterprises to have better cash flow and face market competition more flexibly. Through the sharing of scene-based applications, Wu Tianyao introduced the best practice delivery of the underlying infrastructure (computing power, storage) of Dell Technology Group and the landing delivery of edge AI.

Excellent methods are not inherited, responsibilities and rights are unclear, there are standards, and there is no solidification.

Why should an enterprise carry out process management, when, where to start and how to do it. In the next speech, Qiu Feng, an intelligent manufacturing expert of China Printing Machine Industry Association and an instructor of North India Graduate School, introduced why enterprises should do process management from three aspects: employees, enterprises and customers. At the same time, according to the characteristics of the development of enterprise growth life cycle, it was pointed out that it was not necessary to do process management at the stage of enterprise’s pioneering stage, but when the enterprise further developed and its scale gradually expanded into the development stage, it needed standardized operation. After entering the mature stage, the response of enterprise management is slow, and this stage needs to be optimized and rebuilt.

When talking about how to carry out process management, Qiu Feng shared it with the ring structure of planning, design, execution and optimization. He mentioned that when planning, enterprises need to investigate and analyze the pain points, identify the process list and priority, and formulate the process combing plan and project mechanism according to the actual situation of enterprises. In the implementation stage, it is necessary to publicize the process and coach employees to implement it, analyze the timeliness of process nodes, and collect the problems of process audit and operation.

After decades of development, the process industry, which is mainly composed of chemical industry, foundry, cement and biopharmaceuticals, has achieved great improvement in production technology, equipment and production process automation, but its overall development is still relatively extensive. How to solve the current challenges through reasonable digital intelligence planning and practice, and what new opportunities and scenarios will be provided by new digital technologies such as industrial internet, IoT and AI for digital intelligence in the industry are also the current concerns of enterprises.

We are innovative porters.

2-1, Serie A was cold, 31% possession +4 shots won, and the top 4 were shuffled, and Mu Shuai smiled.

Against the background of Napoli gradually ending the suspense of winning Serie A this season, the competition for the second place in the standings is particularly fierce. Originally, Inter Milan occupied a certain advantage, but their instability was not completely reassuring. You know, in the last three rounds, they once lost to Bologna. In the 26th round of Serie A, the "Nerazzurri" was once again upset.

In this battle, Inzaghi led a team to challenge spezia. In terms of starting price, Inter Milan reached 325 million euros, which is nearly seven times that of its opponent. lautaro and Lu Kaku, the highly anticipated combination, once again fit together. However, the "Nerazzurri", which has an absolute advantage in paper data, is inseparable. In the 5th minute, after lautaro got the ball at the top of the arc, he made a decisive long-range attack. Unfortunately, Drogovsky’s ten-finger pass was more secure, and he tried to keep the door open.

In the 12th minute, lautaro’s penalty kick still failed, which is regrettable. From the 19th minute to the 28th minute, Lu Kaku and mkhitaryan also joined the attack, but unfortunately they either kicked the ball. On the other hand, spezia got an attack opportunity in the 33rd minute. At that time, Agudelo led the ball into the penalty area in the frontcourt and was defended by acerbi to the bottom line. He barely finished picking the pass, but unfortunately hit the crossbar, and the attack ended. Under the constant waste of opportunities by the two teams, the first half ended soon, and the two sides were still 0-0!

In the second half, in the 46th minute, Inter Milan launched an attack with a long pass in the backcourt, and then moved the ball in the restricted area one after another. Finally, lautaro headed the ball to the net. Unfortunately, Lu Kaku was offside in this attack, so the score has not been rewritten. In the 55th minute, Enzola entangled with two defenders including acerbi on the right side of the penalty area, took the ball with his back and successfully made the ball for Daniel Maldini, who pushed the ball from the front of the penalty area and spezia led 1-0 at home.

The second goal of this game happened in the 83rd minute, when Inter Milan got another penalty, this time Lu Kaku took the penalty and hit it. The good times didn’t last long. After 4 minutes, Inter Milan also sent out a penalty. Enzola scored from the 12-yard line and spezia declared the game over 2-1. According to statistics, spezia was completely suppressed. Their possession rate was only 31%, and the number of shots was only 4, which was 24 times less than that of their opponents. However, spezia was still able to win, so we had to sigh their good luck!

After this battle, spezia was 6 points higher than the relegation zone and ranked 17th, which seemed to be a little reassuring. Inter Milan’s points are still fixed at 50 points, ranking second, which also makes Mourinho see new hope. You know, after the first 25 rounds, Rome scored 47 points and ranked fourth. It seems that it is not stable to stay in the top four, but Inter Milan are invincible this time. If Mourinho leads the team to win, then their points can be at the same level as Inter Milan, so it will be more secure to fight for the fourth round.

In the future, if Inzaghi’s team is still not stable, then it is not impossible for them to fall out of the top four. You should know that Lazio and AC Milan are eyeing the position of the "Nerazzurri", and a big reshuffle seems to be brewing!

From Juve’s abandonment to Milan’s darling, relying on Ibrahimovic’s Italian expert to explain what a system player is.

# 100 Watching Teams # As long as the system players in the green world are mentioned, it is difficult to avoid the name of Italian expert nocerino. It is no exaggeration to say that the days when he fought side by side with Ibrahimovic were so beautiful that the situation after he left Ibrahimovic was so embarrassing, as if he were a different person, which fully explained what a system player is:

Antonio nocerino was born in Naples on April 9, 1985. When he was a toddler, it happened to be the peak of Diego Maradona, the legendary Argentine superstar, who led the local Naples team to break the strong enemy repeatedly and even won the Serie A championship, which made the football atmosphere in Naples, which was already very fanatical, more and more fanatical. I don’t know how many children in Naples dreamed of becoming professional players.

It stands to reason that nocerino, who lived in such an environment as a child, should fall in love with football. But the reality is that nocerino was not interested in football as a child. However, nocerino’s father, who is a fanatical die-hard fan, not only asked his son to play football, but also became the coach of a youth football team. Nocerino entered the team coached by his father when he was about 5 years old. When nocerino was 13 years old, he left his hometown of Naples and went to Turin to join Youwen Youth Training Camp.

Under the training of Youwen Youth Training Camp, nocerino became a qualified professional player. He has an excellent professional attitude and will do his best as long as he sets foot on the court. Many players don’t want to do the dirty work. nocerino always tries to do it, and his attitude is positive. At the same time, as a midfielder, he still has a sense of goal as a striker, and he can always appear in the weak position of his opponent’s defense and send the ball to the door.

However, nocerino’s shortcomings are equally obvious. As a midfielder, although he is extremely active on the defensive end, his defensive ability has never reached the top level. Compared with Davies, Vieira and Lei Dongduo, which are recognized as top midfielders, there is a gap visible to the naked eye.

After defense, talk about attack. Although nocerino has an excellent sense of smell in front of the door, it can even make many forwards feel ashamed. However, his footwork skills are far from delicate. No matter passing or passing, it is not top-notch. It is difficult for the team to expect him to organize the attack, let alone expect him to send exquisite assists.

On the whole, nocerino is certainly good among young players of the same age. However, it is just good, far from the level of the other mountains all appear dwarfs under the sky.. It is almost impossible for a fledgling nocerino to get a foothold in the star-studded Juventus first team. Therefore, nocerino was loaned out early, and successively trained in small and medium-sized clubs such as Avilino, Genoa, Catanzaro, Crotone, Messina and Piacenza, and did not return to Juve until the summer of 2007.

As we all know, at that time, Juventus had not completely got rid of the negative impact caused by the Calciopoli incident, and it could not be compared with the Bianconeri before the Calciopoli incident, regardless of the lineup configuration or team strength. This is definitely not a good thing for Juventus. But for nocerino, who returned to Juventus, the advantages definitely outweigh the disadvantages. Because this means that the competition he faces in Juventus is far less intense than when he was a rookie.

In the following 2007-08 season, nocerino got a lot of playing time and once became the main player of Juventus. However, his performance is hard to satisfy Juve. As a midfielder, he lacked creative passing, which made Juve’s midfield, which lacked creativity at that time, worse. It’s no exaggeration to say that nocerino’s performance on the offensive end is not as good as that of teammate Zaneti, who plays in the back. And his performance on the defensive end, it is also difficult to compare with Zaneti who was born in the lower back.

Nocerino’s performance not only disappointed Juve fans, but even the famous Moggi couldn’t stand it. The controversial Juventus exploits made it clear in an interview that nocerino’s performance on the pitch was unconvincing and Juventus should give Tiago some chances. Think about it, nocerino took out what kind of performance, will let Moggi make this statement?

In the summer of 2008, one year after nocerino returned to Juve, the Bianconeri made a decision to give him up and used him as a bargaining chip. Together with a large sum of cash, Amauri was traded from Palermo.

Although nocerino has been abandoned by Juventus so quickly, the competition in the team is far less intense than Palermo of the Bianconeri, and nocerino can still guarantee the main seat. As for his performance on the court, it can only be regarded as quite satisfactory, and it is definitely not outstanding. Otherwise, Milan wouldn’t have let Palermo agree to let people go with a transfer fee of 1 million euros and half of Ricardo Ferreira’s ownership.

I’m afraid even Milan didn’t expect that the performance of new signing nocerino on the court would be so fierce. When he first arrived here, he scored an endless stream of wonderful goals, dazzling people, and soon became the darling of Milan, as can be seen from his great title of "King of Promise".

However, when nocerino was imposing, few people realized that nocerino’s good performance during his time in Milan was actually closely related to the existence of Ibrahimovic. Ibrahimovic, who was at the peak at that time, had a strong personal ability. Even under the heavy defense of his opponent, he could still create a lot of scoring opportunities for nocerino. The existence of Ibrahimovic also covers up nocerino’s lack of creativity to some extent.

In the summer of 2012, Ibrahimovic bid farewell to Milan and moved to Paris Saint-Germain. However, the Rossoneri didn’t sell nocerino, who was extremely dependent on Ibrahimovic, the first time he lost Ibrahimovic. On the contrary, they had high hopes for him, and the result can be imagined. The performance of this Italian expert is extremely disappointing and he has become a systematic player in the mouth of the media and fans.

In the days that followed, although nocerino worked so hard, he could never find the feeling of playing beside Ibrahimovic, let alone becoming the main force of Milan. Even playing for Turin could not guarantee his main seat, which was an embarrassment. This situation continued until 2020, when nocerino announced his retirement.

The upsurge of artificial intelligence trainer talent incubation project has arrived. Have you come to inspect the project？

"Mass entrepreneurship and innovation" is the strongest voice in the 21st century. Entrepreneurship is the eternal driving force for national development and social progress, while artificial intelligence is an important development strategy in China. As a basic key link in the development of artificial intelligence, data labeling industry is a new opportunity for entrepreneurs/teams to transform and expand their projects.

With the inexorable warming of the weather, the talent training program of artificial intelligence trainer is also in full swing. Every day, bosses from all over the world come to see the project and understand the actual operational situation.

During the project inspection, our project manager also listed the innovative mode of data labeling talent incubation project and the possible problems in the field landing process, and gave relevant suggestions and opinions.

It is worth mentioning that during the conversation, some partners shared their merits, and our project leaders also shared them, so as to make every customer who came to see the project and understand it gain a lot.

I’d like to take this opportunity to give you a service news after the cooperation, that is our partner, Mr. Huang. After studying in the operation department, the project department and the system as a whole, his team has already taken the initiative to register students and the data marking project is too busy. It can be said that it is as busy as a bee.

Win-win cooperation has achieved remarkable results, and quality service promotes value-added. Mr. Huang’s success is inseparable from his own efforts, and also from the efforts of our service partners. Here, I would also like to give a big compliment to our friends in the operation department.

If you also want to have endless data annotation resources.

If you are also in the data labeling industry,

If you are still worried about unprofitable projects, broken files and other issues.

Then, consider joining forces.

Come and visit us.

How can Messi stay in Greater Paris？

In 2023, the Greater Paris Champions League once again became 16 Lang, which is quite sad!

Special size World Cup golden balls and golden boots, is that the level?

No!

Messi’s vision, passing and dribbling are still the top in the world!

Mbappé’s shot, in that year, was still heavy, and he also improved his dribbling skills …

Neymar was in its prime, and Ramos was still domineering. Such a powerful Paris has repeatedly suffered setbacks, which puzzled many readers!

In fact, although Greater Paris is rich, its layman leads the expert, which is the root of the team’s failure!

If they don’t change, Messi and Mbappé will leave!

The registration of the Society Competition 2008 2023 Global Artificial Intelligence Technology Innovation Competition was officially launched.

The registration channel for the 2023 Global Artificial Intelligence Technology Innovation Competition was officially opened! The contest was co-sponsored by China Artificial Intelligence Society and Yuhang District People’s Government of Hangzhou, undertaken by Zhejiang Hangzhou Future Science and Technology City (Haichuang Park) Management Committee, and co-organized by Beijing Iron Man Technology Co., Ltd. Based on an international perspective, the competition will focus on cutting-edge technology and application innovation, promote academic exchanges, personnel training, technological development and cross-border application and integration in the field of artificial intelligence, and build a talent exchange platform and industrial ecosystem for artificial intelligence.

Algorithm challenge

Track 1: imaging NLP-medical imaging diagnosis report generation

Track 2: Giga Rendering-A New Perspective Rendering Based on a Billion Pixel Sparse Image

Hardware challenge

Track 1: Service Robot Competition for the Elderly

Track 2: Deep Learning Smart Car Competition

Track 3: unmanned competition

Algorithm challenge

Track 1: It is divided into four stages: registration-team formation, preliminary, semi-final and final.

The opening time of the registration system is 10:00 Beijing time on March 10th, 2023, and the deadline is 12:00 noon on April 20th, 2023.

Preliminaries (March 21st–April 21st)

Rematch (April 28th–May 19th)

Final (June 9)

Track 2: It is divided into three stages: registration-team formation, online competition and final competition.

The opening time of the registration system is 10:00 Beijing time on March 10th, 2023, and the deadline is 17:00 Beijing time on May 4th, 2023.

Online Competition (March 10th–May 10th)

Final (June 9)

Hardware challenge

Registration & Team Building (March 10th-May 20th, 2023)

Final (June 6-June 9, 2023)

Competition official website: https://gaiic.caai.cn/

Algorithm challenge

Event e-mail:

Track 1 data@tsinghua.edu.cn

Track 2 challenge@gigavision.cn

QQ group for event exchange (choose one):

Track 1 566353409/75834321

Hardware challenge

Event Email: bd@artrobot.com

Event exchange QQ group:

Track 1 558080765

Track 2 558719690

Track 3 480558608

04 tournament award

Algorithm challenge

The total prize money of the competition is 850,000-920,000 RMB, and all prizes are pre-tax.

Hardware challenge

The total prize money of the competition is 400,000 RMB, and all prizes are pre-tax.

Champion: 20,000 yuan/team, and the instructor 10,000 yuan/team.

Runner-up: 15,000 yuan/team and 8,000 yuan/team for the instructor.

Third runner-up: 10,000 yuan/team, and the instructor is 5,000 yuan/team.

First prize: 3,000 yuan for each team and 2,000 yuan for each instructor, a total of 5 teams.

Second prize: 2000 yuan per team, a total of 10 teams.

Third prize: 1000 yuan for each team, a total of 15 teams.

* The above is the award setting of a single event, and there are three events in the hardware event.

Other awards:

Creative Award: 4,000 yuan/team, totally 4 teams.

05 media cooperation

Data-Driven Operation ｜ Future Development Direction of Smart Building System

Smart building refers to upgrading traditional buildings to intelligent buildings through Internet of Things technology, so as to realize more efficient and intelligent management and operation. Through the connection and cooperation of various sensors, equipment and systems, smart buildings can realize real-time monitoring, analysis and control of all aspects of buildings, thus improving energy utilization efficiency, optimizing space utilization and safety management, and bringing people a more comfortable and intelligent living and working environment.

(Firehawk Technology Intelligent Building System Development smart.figo.cn)

First, the characteristics of smart buildings

Smart buildings use the Internet of Things technology to connect all devices with the system to realize intelligent management and control. Through big data analysis and artificial intelligence algorithm, the automatic monitoring and management of facilities and energy in buildings are realized. In addition, the smart building also has a visual monitoring system and intelligent maintenance management, which can know the usage and maintenance status of the building in real time and improve the overall management efficiency and safety of the building.

(Firehawk Technology Intelligent Building System Development smart.figo.cn)

Second, the advantages of smart buildings

Smart buildings can improve the operation efficiency and energy utilization rate of buildings and reduce the operation cost and energy consumption through automatic and intelligent management. At the same time, smart buildings can also improve the comfort and health of living and working environment, and provide better use experience and services for residents and enterprises. In addition, smart buildings can also realize the integration and sharing of building information, which is convenient for different departments and users in the building to work together and communicate.

(Firehawk Technology Intelligent Building System Development smart.figo.cn)

Third, the application scenarios of smart buildings

Smart buildings can be widely used in office buildings, residential buildings, commercial complexes and other buildings. In the office building, the smart building can realize the automatic adjustment and management of the office environment, and improve the work efficiency and comfort of employees. In residential buildings, smart buildings can realize intelligent control and management of family living environment and improve the quality of life and safety of residents. In the commercial complex, smart buildings can realize the intelligent management and operation of commercial facilities and services, and improve the efficiency of commercial operations and user experience.

(Firehawk Technology Intelligent Building System Development smart.figo.cn)

Firehawk Technology Smart Building System takes the life cycle data of buildings as the core, and integrates new ICT technologies such as Internet of Things, artificial intelligence and big data based on the three-dimensional technology of digital twins to build a new generation of smart buildings with high technology, efficiency, safety, green and health, so as to enhance the image of the park’s external services and reduce costs and increase efficiency in its internal operations.

Italian media： Rome has raised the offer of salary reduction and renewal for smolin, and the new annual salary is the same as at present.

Live on March 12, according to the report of Il Tempo, Rome has raised its offer to renew smolin’s contract, and the current annual salary for renewal is the same as that of the existing contract.

Roma don’t want to lose smolin, and his contract will expire at the end of the season. According to "Il Tempo", Rome has sent an important signal that they have raised their previous offer for renewal.

Rome has offered a two-year contract before, but the annual salary is lower than the current 3.5 million euros.

Considering that the player wants to stay, Roma decided to offer a two-year contract at the current annual salary, and the bonus is very easy to get.

(Stewed Sydney with rock sugar)

The core technology of ＂making the brain＂ serves the important needs of the country

In today’s world, the level of human science and technology has reached an unprecedented height. With the entry into the intelligent era, a new round of scientific and technological and industrial revolution characterized by the deep integration of information technology and manufacturing industry has flourished, and technical groups in many fields have broken through and merged, which has promoted profound changes in manufacturing production methods. Countries all over the world have taken a series of major measures, hoping to rely on the manufacturing revolution with intelligent manufacturing as the core, consolidate the foundation of innovation and development of manufacturing industry, and build new kinetic energy and new advantages. As a manufacturing power in the world, China has listed intelligent manufacturing as the main direction determined by Made in China 2025, which is not only the key to promote the transformation and upgrading of China’s manufacturing industry, but also an important strategy to become a manufacturing power in the world.

Professor Song Xuan from the Department of Computer Science and Engineering in south university of science and technology of china, whose main research direction is artificial intelligence and its related fields, including big data analysis, data mining and urban computing, has applied the research results to disaster emergency and epidemic prevention of major infectious diseases, and achieved good results. At present, in the series of research in the field of intelligent manufacturing, it contributes scientific research strength to promote the development of intelligent manufacturing in China and accelerate the pace of building a manufacturing power in China.

Intelligent analysis of data model is committed to tackling the key core technology of "intelligent brain"

Since 2013, China’s development strategy has specifically pointed out that "the country’s strength depends on the real economy and cannot be bubbled" and "the innovation-driven development strategy is deeply implemented to enhance the core competitiveness of industry". "Made in China 2025" clearly emphasizes the need to accelerate the integration and development of a new generation of information technology and manufacturing technology, and take intelligent manufacturing as the main direction of deep integration of the two; Efforts will be made to develop intelligent equipment and products, promote the intellectualization of production processes, cultivate new production methods, and comprehensively improve the intelligent level of R&D, production, management and service of enterprises. Intelligent manufacturing can effectively improve the production efficiency of manufacturing industry, shorten the product development cycle and reduce the defective rate of products, which is the key to building a digital China, realizing "Made in China 2025" and breaking the chip blockade.

The national science and technology strategy points out that "it is necessary to cultivate a large-scale team of young scientific and technological talents, focus on the policy of cultivating the strength of national strategic talents, and support young talents to take the lead and play the leading role." As a young scientist born in 1980s, Professor Song Xuan is currently presiding over the national key R&D project "Multi-dimensional data space and service theory of manufacturing product life cycle value chain". The project focuses on the key technology of "manufacturing brain", which is the key theoretical model and technical method of tackling the problem, and provides technical support for the intelligent upgrading of high-end manufacturing industries (such as automobile manufacturing) in China.

Professor Song Xuan said that there are some problems in the process of data storage and analysis in manufacturing industry, such as chaotic data interface, inefficient storage, low level of intelligence and opaque information, which affect the quality of product collaboration and data value-added in manufacturing industry and are not conducive to the sustainable development of manufacturing intelligence. In view of this situation, the project puts forward a set of multidimensional data space and service theory of manufacturing product life cycle value chain, which integrates data sharing and integration and data analysis service. The multi-dimensional collaborative data space prototype model theory of product life cycle value chain based on blockchain proposed by this project can guide safe and efficient data sharing and assist product R&D collaboration; The data analysis method based on deep learning and knowledge generation technology proposed by the project can realize causal inference, speed up the traceability of problems and shorten the product development cycle. Taking intelligent manufacturing as an opportunity and the actual upgrading demand of manufacturing industry as a guide, the project focuses on the two cores of "manufacturing brain": data flow and intelligent analysis, which is of great significance for China’s manufacturing industry to build a competitive advantage in the industrial chain and further improve the intelligent level of manufacturing industry. The project also puts forward a set of multi-dimensional data space and service theory of manufacturing product life cycle value chain, which integrates data sharing and integration and data analysis service.

Professor Song Xuan believes that intelligent manufacturing needs a "manufacturing brain", and manufacturing data is the "blood" of "manufacturing brain"; Algorithm models such as deep neural network are the main part of "manufacturing brain" and play the role of thinking and decision-making; Data flow is collected in the "manufacturing brain", which can automatically complete data analysis, intelligent decision-making and product life cycle prediction and deduction, and realize efficient intelligent manufacturing. The theory of multi-dimensional collaborative data space prototype model of product life cycle value chain based on blockchain proposed by Song Xuan can guide safe and efficient data sharing and assist product R&D collaboration. The data analysis method based on deep learning and knowledge generation technology proposed by the project can realize causal inference, speed up the traceability of problems, shorten the product development cycle, and predict and simulate the product life cycle.

Building an urban brain platform and focusing on building a smart city

From December 2019 to December 2022, with the liberalization of the epidemic, the pneumonia epidemic in Covid-19, which lasted for three years, finally came to an end, and the epidemic situation was gradually controlled. In this epidemic prevention and control, Professor Song Xuan led the project team to develop the "novel coronavirus (Covid-19) communication modeling, prediction and simulation deduction platform driven by human flow big data and AI", which played an important role. Based on artificial intelligence (AI) technology, the model of potential infection sources and risk areas was mined on the city scale, and the communication modeling, prediction and simulation deduction platform for COVID－19 was built. For the big data analysis and AI modeling platform for novel coronavirus communication, the prediction and simulation deduction model was complete. Made outstanding contributions to the prevention and control of the epidemic.

In addition, Professor Song Xuan, as the project leader, has developed an "epidemic prevention chain" APP on the mobile device side. The APP on the mobile phone side can assess the risk of epidemic or major infectious diseases (such as new crown pneumonia, seasonal influenza, etc.) in real time by sensing the contact between users and others and analyzing various urban environmental big data (such as crowd density, air quality, environmental humidity and temperature, etc.).

In fact, as early as 2011, the big data analysis and modeling of people flow carried out by Song Xuan’s team contributed to the fight against viruses and natural disasters. In March 2011, after the earthquake in Japan and the Fukushima nuclear accident broke out, Song Xuan led the team to develop a number of emergency flow prediction models and a system to help the Japanese government analyze the evacuation and migration of victims after the disaster and formulate more efficient post-disaster reconstruction policies. In 2016, in response to the Ebola outbreak in West Africa, the research of Song Xuan’s team helped the International Telecommunication Union to analyze the flow of people in West Africa and the spread and infection of Ebola virus, which played an important role in the prevention and control of Ebola virus.

Professor Song Xuan has been deeply involved in the field of artificial intelligence for 15 years. He deeply realized that the main place for modern people to live and work is the city, and the core of urban management is to make people’s life in the city safer, more comfortable and more convenient. With the proposal of building a smart city, Song Xuan now pays attention to urban data and tries to alleviate or solve various "urban diseases" such as traffic congestion, environmental pollution and natural disasters. His team realized the simulation and prediction of the large-scale movement of urban people by building a modeling model of urban mass people movement, thus realizing efficient urban intelligent management. Song Xuan is currently tackling key problems and building an urban brain platform, bringing together all aspects of urban informatization and the whole process of urban management through high and new technologies to carry out control and support, so as to ensure travel safety, give full play to the efficiency of urban infrastructure, improve the operational efficiency of transportation system and the level of urban governance, alleviate all kinds of "urban diseases" to the greatest extent, and help urban governance to be more scientific, refined and intelligent.

"Scientific research should always serve the public" is precisely with such a sense of mission and responsibility. In the future scientific research, Song Xuan will always focus on his mission, aim high and live up to his youth, take data as the core and science and technology as the weapon, and strive to build an intelligent brain, help build a smart city and build an intelligent manufacturing power.

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