The latest trend of artificial intelligence： from popularization to evolution

With the continuous development of science and technology, artificial intelligence has gradually entered our lives and become an indispensable part of today. In the past year, the innovation and development in the field of artificial intelligence have been quite rapid. In order to let everyone know the latest trends in this field better, this article will describe it from the following aspects.

First, smart home and smart assistant

The concept of smart home has always attracted much attention, and this high-tech product that can automatically control home equipment is no longer out of reach. The application of artificial intelligence technology allows us to control home appliances through intelligent voice assistants, which can realize automatic control and make our living environment more convenient and comfortable. Moreover, intelligent voice assistants such as Alexa of Amazon and Google Home of Google are becoming more and more popular, and these products have become an important part of the future family.

Second, machine learning in the financial field

The financial field has always been an important field of artificial intelligence application. In the past year, a large number of financial institutions have begun to use artificial intelligence technology to process millions or even billions of financial transaction data. For example, some banks have begun to use artificial intelligence technology to detect fraud and money laundering. In addition, artificial intelligence technology can also predict and analyze in the investment field, so many machine learning programs in the financial field have begun to be applied.

Third, artificial intelligence in the medical field

The medical field is also one of the important fields of artificial intelligence application. With the progress of big data and artificial intelligence technology, artificial intelligence has become more and more influential in the medical field. In the past year, artificial intelligence technology has been safely applied to medical diagnosis and patient treatment. Artificial intelligence technology can process a large amount of data into useful information, and improve doctors’ decision-making ability according to this information. More and more hospitals have begun to use artificial intelligence to improve work efficiency and medical quality.

Fourth, the evolution of robots

Robot is no longer a fantasy in movies and TV series, but it can be used in various fields. In the past year, the continuous emergence of new technologies in the field of robotics has made robots more intelligent and efficient. Technologies such as automatic navigation, speech recognition and face recognition enable robots to interact with humans more meaningfully through artificial intelligence technology.

In short, with the continuous evolution of artificial intelligence technology, this field has developed rapidly, and we have seen the application of artificial intelligence in various fields. Through the application of this technology, our life is more convenient, less workload and faster innovation. Of course, there are still many challenges in artificial intelligence, but I believe that through various innovations and efforts, artificial intelligence technology will continue to evolve and update our lifestyle.

Serie A analysis schedule Maleche VS Turin! Prospective prediction of Serie A for visiting teams with both offensive and defensive skills

Maleche ranked 15th with 27 points after 25 rounds. Turin League met three defeats at home, but six defeats away. Serie A team Turin ranked 9th with 34 points after 25 rounds. Turin has scored 3 wins, 4 draws and 3 losses in the past 10 games.

Lecce’s defensive and offensive performance this season is not satisfactory, with an average of only one goal per game in the league and ranking sixth in Serie A. Turin suffered three defeats in various competitions, but its opponents Juventus, AC Milan and Florence were very strong in attack.

Lecce met two defeats in the league. Among them, they are 0-1 Sassuolo at home. Defense has declined in the past eight rounds of the league. Lecce’s coach is Baroni, a 59-year-old local coach.

During his coaching career, he played against Turin three times and failed to achieve good results in three games. The coach in Turin is 47-year-old Croatian Julic. During his coaching career, he played against Lecce four times, and all four games achieved good results.

OpenAI makes opponents unable to play？ ChatGPT’s use cost is greatly reduced： the range is as high as 90%

Artificial intelligence is undoubtedly the track of the current fire. As the price of processing power of Large Language Model (LLM) drops, it will help this technology to enter the mainstream faster.

Due to the fierce competition among big language model companies OpenAI, Anthropic and Cohere, this cost difference has dropped to only about 5%.

In order to enhance competitiveness, OpenAI directly cut the price of using this technology by 90%, which may be devastating to competitors.

In addition, the sharp price reduction of ChatGPT of OpenAI will allow more users to participate, and hardware manufacturers will also design higher-performance chips, such as NVIDIA H100 GPU.

However, Ori Goshen, co-CEO of AI21, said that most companies will not use the general model of ChatGPT, but need models trained for industries such as finance or medical care, or models trained based on a company’s own data.

The price reduction of ChatGPT is only the beginning. This technology will enter large-scale commercial use at a rapid speed, and it also shows OpenAI’s determination to seize the market. In the future, not many companies will have the strength to fight against it.

Inhand networks： In the field of distribution network fault monitoring, we independently developed the technology of grounding fault judgment, location and fault type identification based on artificia

Inhand networks answered investors’ concerns on the investor relations platform on March 9.

Investors:Does the company have similar technology of chatgpt? Are there any such technologies used in Internet of Things and industrial Internet scenarios?

Secretary inhand networks:Hello investors, in the field of distribution network fault monitoring, we have independently developed the technology of grounding fault judgment, location and fault type identification based on artificial intelligence. In the field of smart business, we have successfully applied artificial intelligence technology to develop a series of products, such as monitoring and management of container layout, AI door-opening cabinets, intelligent bill-receiving cabinets and so on. Thank you for your interest in the company.

Investors:I would like to ask the company’s business layout and income in the charging pile, as well as its future development plan.

Secretary inhand networks:Hello, investors, the company has an intelligent networking scheme specially suitable for charging piles/stations, and some projects have landed one after another, but the current revenue accounts for a small proportion; At present, all countries in the world are accelerating the pace of vehicle electrification. The global demand for charging piles/stations continues to increase, and the requirements for networking and digital operation of charging piles/stations continue to increase. The company will expand its market share in the global digital operation of charging piles/stations in the future. Thank you for your interest in the company.

The third quarterly report of inhand networks 2022 shows that the company’s main income is 285 million yuan, down 15.55% year-on-year; The net profit of returning to the mother was 50,512,200 yuan, a year-on-year decrease of 45.04%; Deducted non-net profit was 45.2393 million yuan, down 28.23% year-on-year; In the third quarter of 2022, the company’s main income in a single quarter was 86.4701 million yuan, down 38.26% year-on-year; The net profit returned to the mother in a single quarter was 12.3611 million yuan, a year-on-year decrease of 78.77%; The non-net profit deducted in a single quarter was 11.2706 million yuan, down 65.2% year-on-year; The debt ratio is 10.36%, the investment income is 6,974,700 yuan, the financial expenses are-12,192,500 yuan, and the gross profit margin is 47.57%.

In the last 90 days, the stock has been rated by 6 institutions and 6 buy ratings. In the past three months, the net inflow of financing was 30,006,700, and the financing balance increased; The net inflow of securities lending was 0.0, and the balance of securities lending increased. According to the financial report data in recent five years, the Securities Star valuation analysis tool shows that the moat of inhand networks’s industry competitiveness is poor, its profitability is good, and its revenue growth is good. There may be hidden troubles in finance, and the financial indicators that should be focused on include: accounts receivable/profit rate, operating cash flow/profit rate. The stock has a good company index of 2.5 stars, a good price index of 2.5 stars and a comprehensive index of 2.5 stars. (The index is for reference only, and the index range is 0 ~ 5 stars, with a maximum of 5 stars)

Inhand networks’s main business: R&D and application of industrial Internet of Things technology, providing customers with industrial Internet of Things communication (M2M) products and "cloud+terminal" overall solutions in the field of Internet of Things (IoT).

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

[Zheng Xing Dong Mi Interactive]

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

＂AI Generation Application＂ Yanhuang Yingdong released the first AI low code platform in China.

AIGC(AI Generated Content) and its application topics are growing explosively. With the continuous penetration and integration of industry and technology. 36Kr Research Institute has an insight that AIGC not only continuously enhances the quality, efficiency and practicability of content production, but also extends its radiation breadth. Among them, the breakthrough of key technologies and basic theories will become an important factor in the ecological landing of AIGC industry.

On March 9th, Yanhuang Yingdong officially released the first AI low-code platform in China, as a successful attempt to inspire the integration of ToB software industry and AIGC, marking that the low-code field has officially entered a new stage of integration with AI generation applications.

"Based on the AGI (Artificial General Intelligence) language model, the application to be developed is understood through natural language, and the reasoning result is transformed into an application model structure that conforms to the aPaaS platform, and then the same effect as the artificial application is shown". On the landing side, Liu Jinzhu, CEO of Yanhuang Yingdong, explained to 36Kr the company’s accumulation and precipitation in MDA(Model Driven Architecture) technology and years of exploration of AI application scenarios in recent 20 years, and finally found a breakthrough point in the combination of MDA and AIGC, which provided basic conditions and experience support for the landing of low-code platform for AI generation application.

AI generation application is the core capability of the next generation AI low code platform.

Low-code development platform refers to a tool that can quickly generate applications without coding or through a small amount of code. On the one hand, it can reduce the labor cost of enterprise application development, on the other hand, it can double the development cycle and help enterprises reduce costs, increase efficiency and iterate flexibly.

According to Forrester analyst Lu Guannan, the existing exploration scenarios based on Generative AI (also called AIGC) technology cover text generation, image generation, video generation and code generation. At present, there is no case of directly generating commercial applications in production environment through generative artificial intelligence in China. In addition, Gartner once pointed out in the research report that the global low-code development platform can be divided into head SaaS enterprises and general platform enterprises. In the early days, the path of the integration of AI and low-code development platform was that the head SaaS enterprise realized the communication between AI technology and tool software by integrating generative AI, thus helping users to reduce repetitive, mechanical, rule-oriented work and even undertake creative work.Now, as a general platform enterprise, Yanhuang Yingdong has implemented the second path of integration of AI and low-code development platform through model-driven architecture technology, combined with general artificial intelligence and generative AI.

On the one hand, AI generation application can assist ordinary people or product managers to directly generate the desired application system, and AI automatically generates results according to the input application name; On the other hand, supplementary requirements can be input to emphasize AI’s understanding of generation requirements. From this, we can see that the low-code field is welcoming a revolutionary breakthrough: from passive acceptance to inspired creation, AI generation application is the core capability of the next generation AI low-code platform.

Take the "Easy Whale Cloud" low/no code platform as an example,In the testing stage, based on the AIGC mode, when the user inputs the desired application name (such as invoicing), the platform infers the relevant contents of invoicing through the AI products trusted by the user, and automatically assembles a complete application. When the AIGC generation application is not satisfied, the user’s personalized needs can be met by dragging and dragging, and the iteration continues.

「Before」Hand-built, complete the initial structure in hours.

「After」AI generates applications and completes the initial structure in seconds.

It is worth mentioning that in order to let some people "try early" first,Yanhuang Yingdong has opened the trial invitation code for new and old customers, experts in the field of AI and low code.It is reported that on March 18th, the 2nd Low Code Geek Challenge jointly organized by Yanhuang Yingdong and Low Code Times was held in Shanghai, and the contestants had the opportunity to give priority to using the "Easy Whale Cloud" AI low/no code platform for AI generation applications."Easy Whale Cloud" official website will also issue trial accounts to registered users in a limited time., used for communication and interaction.

Similar to AI generation application, AI generation code refers to letting AI learn programming technology and write high-quality code according to learning, which is used to assist programmers to realize code completion, algorithm logic generation, language conversion and application program generation. Today, AI code generation is more and more deeply involved in the actual programming work. With the rapid development of IT productivity, the related thinking and discussion about AI accelerating digital talents and its influence on IT practitioners are gradually heated.

Thousands of industries have zero threshold, and everyone is a developer.

According to Xu Enqing of Yunda Institute of China ICT Institute, AIGC will drive the development of low/code-free high level, which is reflected in the following three aspects:

-Technical side: program developers can develop software through natural language instructions, expand visualization resources on a large scale, and improve the controllability of application code;

-Application side: AIGC helps non-programmers to quickly enter the creative environment of application construction and accelerate the development process of national development;

-Market side: AIGC provides diversified solutions in a short time, and cooperates with low/no-code technology to complete some more complex business innovations.

The industry is blowing the horn of a new wave. The low-code platform for AI generation application is expected to open a new AIGC track, which will empower all industries to cultivate digital talents, accelerate digital transformation and build digital China.

In the past, there were some problems in the communication between business personnel and IT, such as poor timeliness, inaccurate information and high communication cost. Correspondingly, the low-code platform supporting AI generation application accurately realized the participation of digital talents in the whole process from conception, testing, optimization to landing. On the one hand, the diversity of AI generation applications brings more inspiration and innovation to digital talents and enhances the digital innovation of society. On the other hand, it is also accelerating the implementation of the goal of "everyone is a developer" and the construction of digital talents.

Bright road ahead, higher productivity and stronger sense of innovation.

For enterprises, paying more attention to the low-code platform supporting AI generation applications, how large customers can be delivered, and how complex application scenarios can be developed in which industry application scenarios are the core concerns. In this regard, Jiang Yufei, the head of Hongsheng Beverage Informatization, believes that the "Easy Whale Cloud" AI low/no code platform that uses AI to generate applications has the following characteristics:

-Rapid increase in efficiency: completing an initial concept application, and improving productivity by 2 to 3 exponential levels;

-Rich capabilities: storage, forms, rules, processes and reports can be automatically generated;

-Auxiliary building: In addition to automatically generating complete applications, you can also use AI to build local functions in your own built applications;

-Simple modification: An important feature of AIGC is that people can participate and drag and drop to modify the prototype generated by AI, without code or Bug.

From the traditional programming to the low-code platform supporting AI-generated applications, the speed of application construction is increasing exponentially. Yanhuang Yingdong released the first low-code platform of AI in China this time. While opening a new curtain of the era, the integration trend of AI-generated applications and industry technologies also shows a broader prospect. "Although the low-code platform supporting AI-generated applications generates relatively simple applications limited to business and management in the ToB field, further imagination of generating applications may soon reach the link between AI and AI, and the link between low-code ecology and AI ecology. Undoubtedly, the next stage of development in the low-code field has arrived."

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[Recommended collection] Heavy! Panoramic map of Zhejiang artificial intelligence industrial chain in 2023 (with industrial policy, industrial chain status map, spatial layout of industrial resources

Analysis report of artificial intelligence industry: With the breakthrough of computing power, big data and algorithm model and the promotion of new digital infrastructure, Zhejiang Province has developed rapidly based on the basic advantages of digital economy. Zhejiang University has built the first interdisciplinary subject of artificial intelligence in China and started the research plan of brain science and artificial intelligence convergence (referred to as "double brain plan"); Alibaba City Brain and Hikvision have been selected as the national new generation artificial intelligence open innovation platform, and Zhejiang Province is at the forefront of the country in terms of scientific research and application in the field of artificial intelligence. As of February 2023, Zhejiang Province has gathered more than 800,000 enterprises in the whole industrial chain of artificial intelligence; The total annual operating income of the artificial intelligence industry exceeds 300 billion yuan. This paper will analyze the artificial intelligence industry in Zhejiang Province from the aspects of industrial policy, industrial chain status map, spatial layout of industrial resources and industrial chain development planning. Major listed companies in the industry: Alibaba (09988.HK); Netease -S(09999.HK); Hikvision (002415.SZ)

Goodbye, Paris! Barcelona’s two top wives took a happy photo, and Messi changed his mind for the retirement celebration.

Miami International, which has been rumored a lot before, is quite attractive in terms of salary and gift to the future franchise of the AFL. But Messi doesn’t want to leave the five major leagues so early, because Messi still wants to stay in shape and participate in the Copa America. Therefore, going to the United States to play football is not within Messi’s consideration, at least in these two years. Messi shook hands with Barcelona President laporta and smiled when he left the FIFA official award ceremony. This operation has made everyone see the reconciliation between Messi and laporta.

Tenhah’s Requirements for Anthony and Peristeri’s Experience on the Growth of Football Players

Recently, after a game, Tenghahe publicly asked Anthony to play more bravely in the game. He thinks Anthony can do better in the first half, run more, be bold, and especially need to use his own speed to run more on the court and go deep behind his opponent. In this way, he can better show his strength and skills.

Peristeri joined from Penarol for 9 million yuan in October 2020, but he has not been able to play for two and a half years, and once faced a purge. This is undoubtedly a very embarrassing situation, but as an excellent football player, he should adjust his mentality in time, improve his training level and strive to pursue his dreams.

Football, as one of the most popular sports in the world, requires football players to carry forward the spirit of teamwork, constantly improve their skills and abilities, and have indomitable spirit. As a promising young player, Anthony should listen to the coach’s guidance, accept challenges, constantly improve his skills and abilities, overcome difficulties and make continuous progress.

For Peristeri, although he is facing certain competitive pressure in the team, only through constant efforts and efforts can he get more playing opportunities, show his strength and potential, and succeed in the football field.

As football players, we should always keep in mind our responsibilities and missions, constantly improve our skills and abilities, and at the same time always pay attention to the needs of the team, strive for victory for the team and strive for our dreams. I believe that as long as you persist, you will be able to reap the victory and honor you desire.

It took Ancelotti 139 games to reach the Yum! milestone in La Liga, second only to Guashuai’s 132 games.

Live on March 11th, in this round of La Liga, Real Madrid defeated the Spaniard 3-1, and Ancelotti also won the 100th La Liga victory in his coaching career.

According to statistics, it took Carlo Ancelotti 139 games to reach the milestone of 100 victories, which tied with Mu? oz as the fastest coach in the history of Real Madrid. In the history of La Liga, only Guardiola took 132 games to reach the winner.

(Chenpi is not orange)

Premier League： Tottenham 3-1 Nottingham Forest, ranked fourth in the league, Kane double-rang, Sun Xingyu scored.

In the 27th round of Premier League in 2022/23, Tottenham Hotspur played at home against Nottingham Forest. In the 3rd minute, Richard Lisson’s goal was blown, and then harry kane scored two goals in a row. In the 62nd minute, Richard Lisson assisted Sun Xingyu to break the net. In the 82nd minute, voller scored with a header. In injury time, Foster saved Ayu’s penalty. At the end of the game, Tottenham beat Nottingham Forest 3-1, and its lead over Liverpool (5th in the league) was extended to 6 points.

Competition focus

1. Kane has scored 20 Premier League goals this season, including 8 headers. In the history of Premier League, only duncan ferguson has scored more goals in a single season (9 goals in 1997/98) than Kane.

2. Richard Lisson’s goal was disallowed, but he created a penalty and assisted the team with a goal.

3. I played against the capital team four times this season, and Nottingham Forest didn’t get 1 point.

4. After this game, Tottenham was 6 points ahead of Liverpool and held the fourth place in the standings.

5. Only 7 minutes after the substitute appeared, chris wood was replaced by his teammates because of injury.

Wonderful review

Only 3 minutes after the opening, Skip sent an accurate long pass, and Richard Lisson was inserted into the restricted area, and his right foot volleyed into the upper corner. However, after VAR playback, Richard Lisson was offside and the goal was invalidated.

In the 19th minute, Tottenham finally broke the visiting team’s gate, Richard Lisson flew back, Polo made a cross, and Kane pressed Felipe’s head hammer to break the net!

The 30th minute, Heibel crosses from the right, and Ben Davies’s head is wide!

In the 33rd minute, Kane went straight through the crotch, and Richard Lisson cut the ball and was knocked to the ground by Joe voller. The referee decisively awarded a penalty.

Kane walked to the 12-yard mark. He tricked keylor navas and pushed into the upper corner steadily, with Tottenham leading 2-0.

In the 45th minute, Brennan Johnson hit the front of the restricted area, and shelvey volleyed wide.

In the 60th minute, Nottingham Forest launched a quick counterattack. White divided the ball to the right, and Johnson’s low-angle shot was confiscated by Foster.

In the 62nd minute, Tottenham Hotspur expanded its lead, Richard Lisson passed his right foot to the back, arie grabbed the air, and Sun Xingyi quickly adjusted his left foot to shoot low and break the net!

In the 76th minute, White kicked the left corner, arie threw his head and attacked the goal, and Foster bravely blocked it.

In the 82nd minute, White kicked the left corner again, Felipe rubbed it before and after, and voller pushed it into an empty net.

Technical statistics

Player rating

Appearance lineup

Tottenham Hotspur: 20- Fraser Foster, 17- Christian Romero, 15- Dale, 34- Langlais, 23- Polo, 4- Skip, 5- Khyber, 33- Ben Davies, 9- Richard Lisson (84’21- Kulusevski), 7-.

Nottingham Forest: 12- navas, 32- Renan Lodi, 4- Joe voller, 38- Felipe, 24- arie, 6- shelvey, 5- Mangala (46’34- Andre Ayou), 23- Freuler (67’22- Yates), 11-.