分类归档 khj

Live on March 12 th, Italian national team coach Mancini is going to look for a striker abroad to solve the problem of the national team’s front line. The Italian famous Sudilivio expressed support for this.

Mancini had previously publicly stated that there was a big problem in the Italian national team’s front line, but the media revealed that he might call up Compagno, who plays in Romanian league, and Retegie, who plays in Argentine league. Di livio said: "At present, he is in a delicate period. Obviously, the national team lacks strikers and needs to find a solution. I agree with Mancini that he went abroad to find players to solve this problem. We must find players in this position in the next few years and find excellent and young strikers, and they need to adapt quickly in a short time. "

Di livio went on to say: "When I played football, there were many excellent strikers who could not be selected for the Italian national team, because there were many candidates for this position, and the coach was even criticized for not selecting a striker. The problem now is that young players sometimes can’t take the final key step. They may get lost, but this is a big problem for Mancini. "

Asked by the media how the Serie A league and clubs should help the Italian national team, Di livio replied: "I think they are already trying to help Mancini. The club is signing many young players, something is happening, but maybe there is a lack of quality in the process of finding players. "

Chronic sinusitis is a highly heterogeneous disease involving nasal cavity and sinus mucosa, and it is one of the most common chronic respiratory inflammatory diseases. The prevalence rate in China is about 8%, and 20% of patients are chronic sinusitis complicated with nasal polyps. In order to make the classification and treatment of nasal polyps more efficient and accurate, the research team of the Third Affiliated Hospital of Sun Yat-sen University developed the first artificial intelligence pathological diagnosis system for chronic sinusitis. It is reported that the "Single Vision Home Edition" of the system has passed the clinical test, reaching the level of a senior pathologist, and has been tested and used in a number of 3A hospitals with 5G network systems in Guangdong-Hong Kong-Macao Greater Bay Area.

Patients with nasal polyps need comprehensive treatment mainly by surgery, but the curative effect is not satisfactory at present, and the postoperative recurrence rate is high. The reason is that there are different subtypes of nasal polyps, and the treatment methods and prognosis of different subtypes of nasal polyps are very different. Therefore, accurate classification and individualized treatment of nasal polyps is one of the main ideas to break through the bottleneck of curative effect of nasal polyps. However, at present, the commonly used manual diagnosis method is to randomly select 10 visual fields of nasal polyps slides under a microscope and calculate the number of inflammatory cells in them, which has huge workload, low accuracy and impossible to calculate the whole film.

The Third Hospital of Sun Yat-sen, in conjunction with Tsinghua Pearl River Delta Research Institute and other hospitals and research institutes, has developed and iterated (at the cellular level, molecular level/full film and single vision) an artificial intelligence pathological diagnosis system for chronic sinusitis, developed a "full film platform version" and a "single vision family version" of AI doctors for different application scenarios, and built a cloud platform.

Among them, the "full-film platform version" of AI doctor is an artificial intelligence pathological diagnosis system for nasal polyps based on full-film, and related research results have been published in high-level journals such as JACI, eBioMedicine, a The Lancet sub-journal, and Chinese Journal of Otolaryngology and Head and Neck Surgery. The "Single Vision Home Edition" system has been developed and tested. The AI doctor "Sandy" can accurately identify the common inflammatory cells of chronic sinusitis and generate the first artificial intelligence pathological diagnosis report of chronic sinusitis. According to the standard of senior pathologists, its accuracy has exceeded 90%, which is helpful for accurate diagnosis of chronic sinusitis and subsequent individualized medication guidance.

□ Zhou Jinan Zhen Xiaozhou

You can code, write poems, translate novels, even take exams and make online consultations … ChatGPT, an artificial intelligence chat robot that is responsive, has exceeded 100 million monthly active users only two months after its launch.

ChatGPT’s popularity has once again triggered widespread concern about the development of artificial intelligence technology around the world. ChatGPT adopts the route of "big data+big computing power+strong algorithm=big model" in the technical path, and explores a new paradigm in the direction of "basic big model+instruction fine-tuning", in which the basic big model is similar to the brain, and instruction fine-tuning is interactive training, and the combination of the two realizes the language intelligence approaching human beings.

At present, the development of AI mainly relies on large-scale model technology, and it is necessary to train very large-scale models with huge parameters based on massive natural language or multimodal data sets. To successfully train a large model with larger parameters, higher accuracy and higher capability, not only a huge amount of high-performance AI computing power is needed to support it, but also a large number of high-quality data sets obtained by careful cleaning and an efficient data platform are needed to ensure a long-term model training process.

After more than 20 years’ experience in data management, Julong Information adopts technologies such as big data, cloud computing and artificial intelligence combined with hierarchical architecture design of data warehouse to build a smart cube platform. Through algorithms such as relationship mining, time series mining and spatio-temporal mining, the standard data model is uniformly built in the way of business backward, so as to realize in-depth mining, serial-parallel analysis, early warning and prediction, etc., and meet the goal of "artificial intelligence driving business to improve efficiency".

Introduction to the Application Scenarios of Smart Cube Platform

Portrait analysis: based on the ontology conceptual model of the entity, build the entity portrait and refine the label. Through natural language processing technology and structured data processing technology, the emotion mining of characters is carried out by using template rules, automatic mode and mixed mode. Finally, according to the business needs, we use tag mining, emotional polarity analysis, similarity analysis, relationship analysis and other algorithms to create a portrait of the entity for analysis.

Correlation analysis: Based on the behavior, relationship and portrait data of knowledge map construction, the potential correlation between objects is portrayed by using random walk of the map, factor association, community discovery, intention recognition, semantic search, relationship mining and similarity algorithm, which helps the police to make in-depth judgment and analysis.

Clue mining: Deep-level mining is carried out in combination with emotional business scenarios, and hidden information such as people, clues, elements, relationships, behavior patterns, etc. are found through frequent item mining, association mining, classification and clustering, and anomaly detection technologies to assist the police in deep judgment and analysis.

Prediction and early warning: According to the temporal and spatial distribution characteristics of historical events, the future development trend of events is predicted and judged by using node intimacy calculation, narrative event evolution diagram, element extraction, correlation analysis, relationship mining, comparison collision, behavior pattern analysis and temporal and spatial analysis algorithms, such as event trend prediction and spatial hot spot prediction.

Case sharing: At present, the crime of electric fraud continues to be high, resulting in huge asset losses, accounting for nearly 50% of the criminal cases. At the same time, electric fraud has the characteristics of strong concealment of crime, great difficulty for the masses to prevent publicity, and rapid renovation of means. Based on more than 12,000 case transcripts, 615 million population data and more than 20,000 phone bill data collected by law enforcement users in a certain place as data input, the platform was analyzed, modeled and mined. After multi-level data screening and analysis and modeling, 10+ high-value and vulnerable portrait features were finally analyzed and mined, which was highly recognized by users.

Julong Information Artificial Intelligence organically organizes billions of data into a knowledge network that conforms to people’s cognitive style in a scientific, reasonable and efficient way, making the data easier to be understood and processed by people and machines, and providing application support such as search, analysis, mining, application, presentation, prediction and early warning in various business scenarios.

The development of artificial intelligence is inseparable from the combination of human and artificial intelligence, and our future will also be an era of co-evolution of human and artificial intelligence.

ChatGPT depicts the future world of artificial intelligence

Robots are like humans.

Thought and wisdom have surged

In this dreamy world

Seamless combination of technology and human beings

Life is like a poem.

Calm and beautiful, never stop.

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"Provide relevant training for 100,000 China teenagers in the next three years to promote the development of artificial intelligence education for teenagers".

This is the core goal of Amazon Cloud Technology 2023 Amazon DeepRacer China series activities. To this end, Amazon Cloud Technology announced that it has reached a strategic cooperation with the Science and Technology Education Collaboration of China Education Association and the Shanghai Artificial Intelligence Industry Association. We will focus on Amazon DeepRacer artificial intelligence learning tools and invest resources in four aspects: curriculum development, teacher training, platform support and competition to promote learning.

It is understood that Amazon DeepRacer is a 1/18-scale fully-automatic racing car driven by reinforcement learning and 3D racing simulator launched by Amazon Cloud Technology in 2018.

Gu Fan, general manager of strategic business development department of Amazon Cloud Technology Greater China, said: "Although Amazon DeepRacer looks like a toy car, it is actually an effective artificial intelligence teaching tool. Teenagers who can’t program or mathematical modeling can easily get started, and the learning threshold is very low. The operator only needs to configure certain parameters to train the model, and then deploy it to the Amazon DeepRacer car. The camera on the car will judge the actual situation of the track and use the trained method to judge the driving direction and speed. "

We can reach 100,000 teenagers in three years.

It is reported that in 2023, Amazon Cloud Technology plans to hold the Amazon DeepRacer China League for developers and machine learning enthusiasts, various deep racer industry leagues, enterprise competitions and trainings for different industries and enterprises, and a series of activities for teenagers jointly organized with partners.

Gu Fan, general manager of the strategic business development department of Amazon Cloud Technology Greater China, said: "The core of our strategic cooperation with the Science and Technology Education Cooperative of China Education Association and the Shanghai Artificial Intelligence Industry Association is to reach 100,000 teenagers within three years and let them get in touch with artificial intelligence and machine learning. We hope that the three parties will cooperate with each other in four aspects: curriculum design, teacher training, digital education platform of Amazon DeepRacer, promoting learning through competition and organizing more activities for everyone to really participate in, so as to make the scale bigger and reach more students, so that everyone can get in touch with artificial intelligence at a lower threshold. "

Only with AI literacy can we adapt to the intelligent society.

Zhong Junhao, secretary-general of Shanghai Artificial Intelligence Industry Association, said: "At present, the iteration speed of teaching materials and the updating speed of teachers’ skills are not enough to meet the needs of cultivating high-tech children facing the future. Nowadays, artificial intelligence empowers all industries. It changes the social order, working methods and the paradigm of scientific research. It is the future general education, not professional education. If a teenager is strong, China will be strong. We should start from the adolescent stage, cultivate their artificial intelligence literacy, look at the future development of the whole society with artificial intelligence thinking, and help them adapt to the future intelligent society. "

"Amazon DeepRacer has provided me with motivation to continue to study artificial intelligence related knowledge and related majors in depth." Zheng Haoyue, a student from Beijing Haidian Foreign Language Experimental School, said this. (Yuan Ning)

On December 1st, Beijing time, the NBA regular season in the 2021-22 season was fighting. In a battle of focus today, the Sun will face the Warriors at home. Prior to this game, the Warriors 18 wins and 2 losses first ranked first in the league, and the Sun team ranked second in the league 17 wins and 3 losses. Therefore, this game was particularly attractive.

According to statistics, this is the first time that the NBA history has appeared more than 85%of the winning percentage, and it is in a team confrontation between the 7+ consecutive victory. The Warriors have achieved a 7 -game winning streak, and the Sun team has won the longest 16 -game winning streak this season. If the Suns can win again today, they will tie the team history of the longest consecutive victory.

Before the start of the game, the Suns officially released the preview map of the game, as well as warm -up maps such as Paul and other generals.

It can be seen that although this game can tie the long -winning record of the team history and whether they can defeat the Warriors’ top leagues, the Sun team will still be very relaxed. Paul, Booker, Claude and other people will laugh at the training ground.

The Warriors officially wrote: "The duel of the best record team of the two league, staged in Phoenix tonight!"

ESPN also debated this game. However, the result was one side, and everyone thought that the Warriors could win. Former NBA star Reydick said: "The warrior has a greater probability of winning the game, their defense is very good, they will take a lot of defense. The main tactics of the sun are to relieve it by the pick -and -roll, and then go to the ball three points. Unless Paul and the" Booker can play ultra -efficiency, otherwise it will be difficult for them to win. "

The reasons for the well-known commentator A-Smith is only one reason for the Warriors, that is Curry. He said: "I am not interested in this issue, because the Warriors will win the championship, and no one can defeat them. The Warriors will win bigger today, but the Sun team will win when they meet next time. Because they do not have Curry, Curry is the greatest shooter created by God. And the Warriors’ ball -free running and transfer balls are the top leagues. They are the purest basketball. "

Whether this game continues 17 consecutive victories, or the Warriors defend the league 1, we will know the answer in a few hours.