Infrastructure for training AI to solve common problems

In order to train artificial intelligence models that can solve common problems, infrastructure is needed to provide support. These infrastructures are usually composed of hardware, software and tools to improve the efficiency and accuracy of model training. This article will introduce the infrastructure for training AI to solve common problems.

I. Hardware infrastructure

When training artificial intelligence models, it is usually necessary to use high-performance computing hardware to provide support. The following are several common hardware infrastructures:

  1. CPU: The central processing unit (CPU) is a general-purpose computing hardware, which can be used to run various types of software, including artificial intelligence models. Although the performance of CPU is relatively low, it is still useful in training small models or debugging.

  2. GPU: A graphics processor is a special computing hardware, which is usually used to process images and videos. Because of its highly parallel structure, GPU can provide higher computing performance than CPU when training artificial intelligence models, so it is widely used.

  3. TPU: Tensor processor is a kind of hardware specially used for artificial intelligence computing, developed by Google. The performance of TPU is higher than that of GPU, and it is suitable for large-scale artificial intelligence model training and reasoning.

Second, the software infrastructure

In addition to hardware infrastructure, some software tools are needed to support the training of artificial intelligence model. The following are some common software infrastructures:

  1. Operating system: Artificial intelligence models usually need to run on an operating system, such as Linux, Windows or macOS.

  2. Development environment: Development environment usually includes programming language, editor and integrated development environment (IDE) for writing and testing artificial intelligence models. Common development environments include Python, TensorFlow, PyTorch and Jupyter Notebook.

  3. Frames and libraries: Frames and libraries provide some common artificial intelligence model algorithms and data processing tools, making model development and training more convenient. Common frameworks and libraries include TensorFlow, PyTorch, Keras and Scikit-Learn.

Third, the tool infrastructure

In addition to the hardware and software infrastructure, some tools are needed to support the training of artificial intelligence models. The following are several common tool infrastructures:

Dataset tool: Dataset tool is used to process and prepare training datasets, such as data cleaning, preprocessing, format conversion, etc. Common data set tools include Pandas, NumPy and SciPy.

2 Visualization tools: Visualization tools are used to visualize the training process and results to help users better understand the performance and behavior of the model. Common visualization tools include Matplotlib, Seaborn and Plotly.

Automatic parameter tuning tool: The automatic parameter tuning tool is used to optimize the parameters of the model to improve the performance and accuracy of the model. Common automatic parameter tuning tools include Optuna, Hyperopt and GridSearchCV.

In short, training artificial intelligence models to solve common problems requires the use of a variety of infrastructures, including hardware, software and tools. These infrastructures are designed to improve the efficiency and accuracy of model training, so that the model can better solve various practical problems. In practical application, users need to choose the appropriate infrastructure according to specific requirements and data characteristics, and design and implement it accordingly.

Future Technology: What will happen to our life?

Nowadays, technology is developing at an unprecedented speed. New technologies such as artificial intelligence, drones and virtual reality are subverting our way of life and making our life more convenient and efficient. In the future, the development of science and technology may be more rapid, and the changes will be more profound and extensive. In this brand-new world, we may face many new challenges and opportunities.

Artificial intelligence (AI) refers to the computer system to achieve a certain degree of autonomous decision-making and task execution by simulating human intelligence and learning ability. In recent years, artificial intelligence has been widely used in various fields, including natural language processing, image recognition, speech recognition and so on.

With the continuous progress of artificial intelligence technology, its impact on society and employment has attracted more and more attention. The following are some possible impacts:

  1. Automation replaces some jobs: Artificial intelligence can perform some jobs that require manpower through machine learning and independent decision-making, such as data processing and customer service, which may lead to some traditional jobs being replaced by automation.
  2. Create new employment opportunities: Although automation may replace some traditional jobs, the development of artificial intelligence will also create new employment opportunities, such as data analysis and machine learning engineers.
  3. Improve production efficiency: artificial intelligence technology can help enterprises optimize processes, improve production efficiency and reduce costs, thus improving the competitiveness of enterprises.
  4. Personal privacy and security issues: Artificial intelligence can collect and analyze a large amount of personal data, which may cause personal privacy and security issues.

Generally speaking, the development of artificial intelligence has brought many opportunities and challenges to society. In the process of dealing with its influence, we need to pay attention to human welfare and moral issues, and at the same time, we need to constantly improve our technical level and adaptability.

Unmanned Aerial Vehicle (UAV) is an unmanned aerial vehicle, which can be operated by remote control or preset program. In recent years, with the continuous development of technology, drones have been widely used in various fields, including transportation, military, security and so on.

In the field of transportation, drones can be used for logistics distribution and traffic monitoring. For example, drones can deliver express parcels to your doorstep without manual delivery; At the same time, drones can also monitor traffic conditions in cities with traffic jams in order to make timely adjustments and optimizations.

In the military field, drones are also widely used. UAV can be used for reconnaissance, strike, aerial refueling and other tasks, and its maneuverability and concealment are incomparable with traditional military equipment. Moreover, with the continuous improvement of technology, the weapons and equipment of drones are becoming more and more advanced.

In the field of security, drones can also be used for monitoring and support. For example, drones can be used to monitor borders and coastlines to prevent illegal entry and drug trafficking; At the same time, drones can also be used for firefighting, rescue and other tasks to improve efficiency and safety.

Of course, with the increasing application of drones, it also brings some problems and challenges. For example, the privacy and security issues of drones require the joint efforts of the government and enterprises. At the same time, the regulation and management of drones also need to be strengthened to ensure their normal and legal use.

Generally speaking, the application prospect of UAV is very broad, which can bring many benefits and conveniences, but also requires us to pay attention to and solve related problems and challenges.

The development of virtual reality technology has attracted people’s extensive attention. With the continuous development of technology, virtual reality technology has been gradually applied to entertainment, education, medical care and other fields, and has played an important role in these fields.

In the entertainment field, virtual reality technology is widely used in the production of entertainment content such as games and movies. Virtual reality technology can provide users with more realistic game experience and movie-watching experience, thus increasing users’ immersion. In addition, virtual reality technology can also be used for live broadcast of concerts, exhibitions and other activities, so that the audience can feel the atmosphere of the event site personally.

In the field of education, virtual reality technology has been widely used in learning and training. Virtual reality technology can provide students with richer learning experiences, such as simulation experiments and virtual field trips. Through virtual reality technology, students can have a deeper understanding of the learning content and learn and explore in practice.

In the medical field, virtual reality technology is also widely used in surgical simulation, rehabilitation and other aspects. Virtual reality technology can help doctors to operate and treat more accurately, thus improving the success rate of surgery and rehabilitation effect. In addition, virtual reality technology can also be used in psychotherapy and anti-pain therapy to help patients relieve pain and discomfort.

The development of science and technology in the future will bring great influence and change, involving all aspects, including society, economy, education, medical care, security and so on. The emergence of new technologies such as artificial intelligence, unmanned aerial vehicles and virtual reality will greatly change our way of life and work. In this era of rapid development, how to deal with future changes has become an important issue.

First of all, we need to strengthen the research and development of new technologies. Governments, enterprises, academic institutions and other aspects need to increase investment and support in science and technology to promote the development and application of science and technology and better meet people’s needs.

Secondly, we need to adapt to the development and application of new technologies. In the process of the emergence and popularization of new technologies, we need to constantly learn and adapt to make better use of them, so as to better adapt to the changes in society and life.

In addition, we need to pay attention to the risks and challenges that new technologies may bring. In the application of new technology, some security and privacy issues may be brought, which need our attention and solution. At the same time, the development of new technologies may also have an impact on some traditional industries and employment, and we need to pay attention to and help the affected people.

Finally, we need to build a healthy, fair and sustainable development environment. The development of science and technology needs to be carried out under the legal and ethical framework to ensure that the development of science and technology is in line with human interests and values. We need to establish and maintain this environment by various means to ensure that the development of science and technology is sustainable and beneficial.

In a word, the development of science and technology in the future will bring great influence and change to our life and society. Faced with these changes, we need to strengthen the research and development of new technologies, adapt to the application of new technologies, pay attention to the risks and challenges that new technologies may bring, and establish a healthy, fair and sustainable development environment. Only in this way can we better cope with future changes and achieve the goal of sustainable development.

Ai automatic article writing software

With the continuous development of artificial intelligence technology, the technology of ai automatically writing articles has become increasingly mature. Traditionally, people think that writing is a job that requires human intelligence and creativity. However, now, artificial intelligence has begun to challenge this concept.

Ai’s technology of automatically writing articles is based on big data and natural language processing technology. It can use the existing data and knowledge base to transform this information into language expression and form articles, and it can also improve the quality and efficiency of its writing through the learning and optimization of algorithms.

Of course, there are also some problems in ai’s automatic writing of articles, such as emotional expression of articles, flexibility of language, etc. At present, the technology can not fully capture human creativity and expression, but it can be predicted that in the future, with the continuous breakthrough of technology, ai’s automatic writing of articles will perform better.

Generally speaking, ai automatic writing articles is a very promising technology. It can provide more efficient and convenient writing tools for human beings, and it can also play a greater role and creativity in some fields.

The article you are looking at is written by software.

Automatic generation of AI intelligent copywriting has become a new trend in the field of digital marketing. With the continuous progress and development of AI technology, more and more enterprises begin to use AI technology to automatically generate marketing copy to improve marketing efficiency and reduce production costs.

AI intelligent copy generation technology uses artificial intelligence algorithms and models to generate reusable and adjustable copy content by analyzing and processing a large number of data, articles, documents and other materials. This technology can not only greatly improve the production efficiency, but also reduce the error rate and cross-cultural risks.

Different from the traditional copywriting method, AI can generate a large number of high-quality copywriting in a short time, which enables marketers to focus on planning, creativity and strategy. In addition, the application scope of AI is becoming wider and wider, and it can generate various types of copywriting including advertising copywriting, email copywriting, SEO copywriting, social media promotion copywriting and product description copywriting.

Although AI intelligent copy generation technology has played an important role in improving production efficiency and reducing manufacturing costs, it cannot completely replace human creativity. Therefore, although AI will play an important role in the field of digital marketing, human creativity and creativity are still the key factors for marketing success.

AI automatic article writing software is a computer program that can use artificial intelligence technology to create and write articles independently. This software aims to generate high-quality and easy-to-understand articles through technologies such as machine learning and natural language processing, saving users time and energy.

With the continuous development of artificial intelligence technology, AI automatic article writing software has been widely used in news reports, scientific research papers, content marketing and other fields. These softwares can not only automatically generate detailed reports and articles in the corresponding fields through a large amount of data analysis and processing, but also carry out semantic matching and important information extraction, making the contents of articles richer and more accurate.

In addition, AI automatic article writing software is highly intelligent. Users only need to set keywords and themes to automatically synthesize the desired content, which saves tedious manual editing and typesetting work and greatly improves work efficiency.

However, AI automatic article writing software also has some shortcomings. Because of the need to learn from data, the articles generated by it may have some grammatical errors or logical loopholes, which need to be corrected manually. In addition, the software can only generate articles according to the set rules, which lacks innovation and flexibility.

Generally speaking, AI automatic article writing software is an innovative technology, which has the advantages of high efficiency, accuracy and simplicity. With the continuous development and improvement of technology, I believe it will be widely used and popularized in various industries.

In recent years, artificial intelligence technology has developed rapidly, among which Baidu AI automatic article writing technology has attracted much attention. Baidu AI automatically writes articles by using machine learning, natural language processing and other technologies, so that the machine can automatically generate articles and solve the tedious and defects of manual writing.

The working principle of Baidu AI automatic writing articles is to input keywords, and the machine can automatically generate a grammatical article. In this process, the machine learns through artificial intelligence algorithm, which can acquire knowledge from a large number of text data and improve its writing ability. In addition, with the continuous updating of technology, Baidu AI’s automatic writing of articles is also constantly optimizing its algorithm, and it is committed to grasping semantics more accurately and improving the quality of writing.

Baidu AI has a wide range of application scenarios for automatically writing articles, especially in the fields of news, advertising, media and education. For example, in news reports, this technology can be used to quickly capture the core content of events, quickly push news, and greatly improve the efficiency of news release. In advertising marketing, this technology can automatically generate product promotion copy, and improve the click-through rate and conversion rate of advertisements. In the field of education, through Baidu AI to automatically write articles, the machine can accurately display according to the students’ keywords, and provide students with articles that are more suitable for the course.

In a word, Baidu AI automatic writing articles is an artificial intelligence technology with wide application prospects, which can greatly improve writing efficiency and optimize text quality. We believe that Baidu AI automatic article writing technology will be more widely used and developed in the future.

Strong Eagle No.20 | Opening Ceremony of Kong Jianping’s Mentor Group of Nanotechnology and the Third Strong Eagle Teacher-Student Tour

On the afternoon of March 4th, the opening ceremony of Kong Jianping’s mentor group and the third Strong Eagle Teacher-Student Tour were successfully held in Zhejiang Nano Technology Co., Ltd.. Teacher Kong Jianping, the chairman of Zhejiang Nanotechnology Co., Ltd., the founder of Rainbow Life Ideological and Political Education Platform, the founder of Qiangying, and the executive vice president of Zhejiang University’s School of Innovation and Entrepreneurship, attended the event. The 19th and 20th sessions of Kong Jianping’s mentor group participated together.

At the beginning of the activity, Mr. Nova, the mentor team of Kong Jianping, introduced the six major sectors: chip, cloud computing, blockchain, AI, application and terminal.New infrastructure of meta-universe industryDevelopment opportunities; Teacher Sunny explained it for everyone from five aspects: story, style, economic dividend, innovation ability and meta-cosmic imagination space.How to do a good job in NFT project blue chip,Compared with the characteristics of Web2, this paper analyzes "why web3.0 is the future" from multiple dimensions, encourages students to publicize and innovate spontaneously, and promotes the healthy positive cycle of NFT projects.

Subsequently, the 19th student Lou Song shared with you.Innovation opportunities of NFT AMMMa Jiahao discussed with everyone.Governance problems and values of DAO creator communityIt is pointed out that DAO creator community has the characteristics of reducing management cost under the inefficient-oriented structure; Shen Yining, a 20-year student, combined his transformation experience from investment bank to content blogger and analyzed.New ideas of traffic growth in Web3 industryZhao Chengcheng introduced how his entrepreneurial project Mind Network was built.Decentralized privacy data lakeGet a place in the industry.

Finally, Mr. Kong Jianping analyzed the top ten pain points of Web3 entrepreneurship for the students, pointing out that the core value of blockchain technology is not decentralization and building a new economic model, but to form a stronger network effect and share liquidity by opening up the user system, thus creating value and income. Mr. Kong suggested that entrepreneurs should be ecological to each other, reject leverage, rely on industry dividends, adhere to the spirit of hard work, and jointly move towards the application Web3 era in the next decade.

During the opening ceremony, Mr. Ruan Junhua introduced the mental journey and value thinking of establishing the Rainbow Life Platform. Teacher Ruan put forward three suggestions for the students: attitude, persistence in long-term, unremitting efforts and courage to pay in following the great cause; Inherit, learn to carry forward the spirit of Zhejiang businessmen, understand the spiritual strength of mentors, and influence and drive more people; Grateful, grateful to the mentor’s educational feelings, grateful to the platform, but also grateful to the opportunities provided by the country and the times.

Later, Ruan Junhua expressed sincere gratitude to Kong Jianping for his re-joining and the strong support of Nanotechnology, and awarded him a letter of appointment as a mentor.

Instructor Kong Jianping issued admission notices to the students in turn and took a group photo.

knowledge gained by study

Ruan junhao

In this study, I deeply realized the rapid development of the digital age and the powerful power of scientific and technological progress. The following are my learning experiences:

As the next generation Internet, the core idea of Web3.0 is to establish a decentralized and open network ecosystem. Compared with Web1.0 and Web2.0, Web3.0 pays more attention to personal privacy protection and data security, and also pays more attention to users’ control and autonomy of data. When studying Web3.0, I deeply understand the importance of decentralization and autonomy, and realize that digital assets and digital identities will become the core content of Web3.0.

AIGC represents the development of digitalization, intelligence, connectivity and security, and is one of the four core technologies in the digital age. AIGC has a wide range of applications, including natural language processing, image recognition, machine learning and so on. When learning AIGC technology, I deeply understand the influence and importance of artificial intelligence on the future. At the same time, I also realize that the development of artificial intelligence needs a lot of data and computing power support, and blockchain technology can provide a safer and more reliable infrastructure for the development of artificial intelligence. For a person who wants to enter the field of web3.0 entrepreneurship, this is a blue ocean full of opportunities.

Finally, I want to thank Mr. Kong and Qiang Ying, who gave me a very good platform and a great learning opportunity.

Pompo

First of all, I am very grateful to the activities organized by Mr. Qiang Ying and Mr. Kong, which made me learn a lot. The content shared in this activity is very diverse and rich, including the infrastructure facilities of the Metauniverse, covering the whole industry chain of chips, cloud computing, blockchain, AI, applications and terminals; There is also the blue-chip market of NFT, the rising logic of mainstream NFT (such as BYAC/Azuki) and some emerging projects. There is also a story about how the DAO organization works to create a science fiction work. In addition, there are some hard-core contents, such as transactions, private data sharing, etc. Although time is limited, I can’t fully understand them, but it also broadens my horizons, gains some new knowledge and enriches my understanding of web3.

Finally, Mr. Kong’s sharing also benefited me in particular, including the development history of web3 industry, the top ten pain points faced by entrepreneurs, the advantages and disadvantages of web2 and web3, public chain ecology, regulatory policies, opportunities for globalization and so on. Teacher Kong suggested that it is very important to choose an industry. No matter what industry you do, you can spend at least 10% of your energy on web3.

zhou weijie

This activity gave me a deeper understanding of the business of the Meta-Universe industry and the Meta-Universe track. During the activity, several students shared their own business projects, and many of the technical terms made me feel the gap between being deeply involved in an industry and understanding an industry in a simple way. Bringing in the sharer’s perspective makes me understand that the understanding of business model and the combing of industrial development logic are far more important than what technology we have mastered. We need to look at business issues from a more macro perspective and use technology to help us deepen our understanding.

In the process of sharing, Mr. Kong put forward several ideas that inspired me deeply. The first is that we should fully grasp the industry dividend, look at the industry, and then deepen the cultivation. The second is that we should think more about how to use new technologies in application scenarios that could not be realized before, instead of iterating over existing things with new technologies. I am very grateful to Qiangying for giving me this opportunity to communicate with outstanding predecessors, and I am also very grateful to Teacher Kong for taking the time to guide us.

Ouyang shengxiong

I am honored to participate in the activities of Mr. Kong’s group, which made me gain a lot. As a small white who is not specialized in the web3 industry, I have learned a lot about web3. For example, the sharing of "Governance Problems and Values of DAO" made me understand a very interesting case, in which 100 people can create a science fiction novel together. Everyone can exert their unique creativity. The introduction of Decentralized Privacy Data Lake made me understand a new form of data privacy protection. In the web1 era, our data is crawled by portals, in the web2 era, the data is held by giant companies, and in the web3 era, we can protect our privacy relatively to a greater extent through encryption services. As a person who hasn’t entered the venue yet, I think I can spend more time paying attention to the progress and dynamics of web3 later. Thank you very much, Mr. Kong.

Shan Zhang

Thank you very much for the third mentor group activity organized by Mr. Kong and Qiangying. In this activity, six guests shared their entrepreneurial experiences and experiences on the track of Web 3.0, covering the current application scene of the Metauniverse, how the financial system supports the development of Web 3.0 projects, the application and innovation of NFT technical support, the exploration of DAO community management mode, the password for realizing traffic growth and the new mode of private data management. Through these sharing, I have a deeper understanding of the Web3.0 industry. I think this decentralized idea can bring some new ideas to finance, social governance and industrial production. During the instructor’s evaluation session, Mr. Kong shared his understanding and experience of Web 3.0, covering a wide range of contents, including organizational forms, relations with the government, opportunities for Chinese entrepreneurs in this track, etc., which broadened my horizons. Dean Ruan also shared his initial intention and feeling of establishing Rainbow Life Platform and Strong Eagle, and sent a message to the students, which made me know how to be grateful and give back to the school and society while growing my own skills.

Wen Chen Yiming

The theme of this activity covers the new infrastructure of the meta-universe industry, the blue-chip road of NFT projects, the innovation opportunities in NFT AMM direction, the governance form of DAO creator community, new ideas for the growth of Web3 industry, decentralized privacy data and teacher Kong’s sharing of the industry. In the process of listening to everyone’s sharing, I learned a new organizational structure model, DAO, which is a decentralized autonomous organization. Members of the organization can freely put forward proposals and organize everyone to vote according to the importance of the proposals. It is an effective way to cooperate with like-minded people all over the world. In this way, the 19th Ma Jiahao seniors completed a book about the meta-universe, which shows that everyone can play their respective strengths in this model. In addition, some students explained the new ideas of traffic growth, including traffic entrance, activation mode, how to retain existing customers and how to let customers promote spontaneously. Finally, Mr. Kong explained to us some pain points in the web3 industry and his understanding. Through this activity, I gained a lot of knowledge about web3. Thanks to Mr. Kong and Qiang Ying for their careful preparation.

These AI artifacts are wonderful, especially the first one.

Artificial intelligence has penetrated into people’s lives, and clever use of artificial intelligence tools will greatly improve our work efficiency; Today, I will share with you several artificial intelligence super AI tools, which must be collected.

First, the sound track

Audio splitting is a limited-time free service, which provides users with the ability to remove audio services from movies without recoding, so that web pages can be used, and both Windows and Mac can perform normally.

This service supports MP4, AVI, MOV and other movie formats. Then select the movie file to be muted and press it to remove the sound effect. After processing, the download link will pop up. In addition, there are many functions such as video conversion accompaniment, video extraction accompaniment, human voice and so on.

This is a creative video that can be automatically generated according to various information such as photos, words or video clips, and according to AI and machine learning (ML) algorithms. Under its cutting-edge artificial intelligence generation engine, the concept in the user’s mind is turned into reality, and the imagination is truly released.

Third,Opus

This is an AI application that can convert text into video games. Using the strategy of machine learning (ML) and natural language processing (NLP), the scene of video game can be automatically created according to the text description. In addition, OPUS can automatically generate the game mechanism, settings and characters that supplement the narrative by evaluating the text of the story or game scene, and other people and AI applications can participate in the final game construction.

Counting Messi’s 300 assists: Su Shen Nesho’s total benefit ranks in the top three! Real Madrid was injured 14 times.

Paris Saint-Germain beat brest 2-1 and Messi assisted Mbappé. The total number of assists in the club’s career reached 300 milestones! Next, we will make an inventory interpretation through data.

Team distribution

Barcelona: 269 times

Paris: 31 times

Benefiting teammates

1. Suarez: 39 times

2. Neymar 27 times

3. Mbappé: 18

4.pedro: 17 times

5. Eto ‘o: 15 times

6. Villa: 13 times

7. Iniesta, Fabregas, Pique and Sanchez: 10 times

Hurt an opponent

1. levante: 19

2. Seville: 17 times

3. Getafe, Real Madrid: 14 times

5. Valencia: 12 times

6. Certa, Spanish, Biba: 11 times

9. Betis, Huangshe: 10 times

Distribution of events

La Liga: 192 times

Ligue 1: 27 times

Champions League: 40 times

King’s Cup: 33 times

Xichao Cup: 5 times

World Club Cup: 1 time

European Super Cup: 2 times

Most seasons

1.30 times: 2011-12 season

2.27 times: 2014-15 season

3.25 times: 2019-20 season

4.23 times: 2010-11 season and 2015-16 season.

Type of assists (only League+Champions League)

Mobile warfare: 189 times

Free kick: 13 times

Corner kick: 6 times

Cross: 22 times

Through the straight plug ball: 69 times

Pawar has scored 6 goals in various competitions this season, setting a new career high.

Live broadcast: On March 11th, the game between Bayern and augsburg is underway. Bayern is currently leading 3-1, and pawar scored twice, scoring a goal to overtake the score and expanding the lead.

Statistics show that pawar has scored 6 goals for Bayern in various competitions this season, setting a new record for his single-season goals.

"Creativity is infinite, and high-quality articles are under control-how to make soft writing more valuable?"

Recently, soft writing has become a hot topic on the Internet. More and more people realize that writing is a very important way of communication. In soft writing, the most important thing is to be able to convey information to readers and guide them to resonate.

So, how to make soft writing more valuable? First of all, we need to have a clear goal and orientation. We should consider the needs and problems of readers and turn these problems into high-quality articles. In addition, we can also use some professional tools, such as Tiger Writing AI WeChat official account, to quickly generate articles that meet the requirements.

Tiger Writing AI WeChat official account is a platform that can help us automatically generate articles. It uses artificial intelligence technology, and after inputting keywords, it can quickly generate articles that conform to the text structure, grammar rules and style characteristics. In this way, we can quickly produce high-quality soft articles and improve the reading rate and conversion rate of articles.

In addition to tiger writing AI WeChat official account, we can also push articles to major media platforms by using the publishing platform of Overflow Enterprise to increase the exposure and conversion rate of articles. Yiqi Publishing Platform is a professional promotion service provider, which can help us push articles to various channels, such as social media, news media, forums, questions and answers, etc., so that more people can learn about our articles and then produce transformation effects.

Finally, we need to pay attention to the improvement of personal writing skills. Through continuous study, thinking and practice, we can improve our writing level and make our articles more convincing and attractive.

To sum up, soft writing is a process of continuous learning and exploration. Only by choosing the right platform and tools and paying attention to the improvement of personal skills can we make our articles more valuable. Come and use Tiger AI WeChat official account and Overflow Enterprise to promote your soft writing level!

Al artificial intelligence: what impact will room temperature superconducting technology have?

If room temperature superconducting technology is realized, it will have a great impact on human society. Superconducting technology can be used in power transmission, maglev train, MRI, energy, communication and other fields. The realization of room temperature superconducting technology will make the application in these fields more convenient and economical. In addition, room temperature superconducting technology can also be applied to quantum computers and other fields, which will promote the development of computer technology.

I started as James, who played as a center: I was almost eliminated by Chelsea Youth Academy that year.

Chelsea defender Reese James said in an interview that he was almost eliminated by Chelsea youth training in the past and revealed that he started as a striker.

James said: "I signed for Chelsea when I was about eight or nine years old. I stood out among my peers. We have Du Qiong Sterling, martel Croasdale, Ryan Brewster, Jamie Cumming, Mark Gay and Connor Gallagher, and several of us have succeeded."

"All of us dream of playing for Chelsea, but when we were growing up, people knew it was difficult to get into the first team because not many people could do it in recent years. We knew what we wanted, but it was difficult to achieve at that time. "

"But when Lampard was the head coach, he really helped the youth training and the first team to cooperate better. Even now that he has left, the youth training and the first team still maintain his legacy, as evidenced by the addition of some young players last season. They got the opportunity and completed their first show, which is both recognition for the players and affirmation for the staff. "

"When I was growing up, I was a striker. I admired Drogba and I always admired him. I just want to score goals and celebrate like him. I stopped playing as a striker at the age of eleven or twelve and started to develop in the midfield. I stayed there for three or four years, and then I found myself suitable to play as a right-back at the age of fifteen. I hated this position at first. Until one day, I suddenly felt adapted to this position and began to really enjoy it, about seventeen years old. But it really takes me a long time to get used to this position. When I don’t want to play this position, this position often makes me feel depressed.

"But right-back is the position where I play the most now, and it is also my favorite position. I have hardly played in other positions. I have been there since I joined Chelsea, but when I was fifteen or sixteen, I was almost eliminated. I am probably one of the worst players in that age group, and they are not sure how I will develop. When they offered me a new contract, they took great risks. I must try my best to prove that I can play football and achieve my goals. "