C Ronaldo updates Ins training photos in the gym: focus on results rather than obstacles!

[C Ronaldo updates Ins gym training photos: focus on results rather than obstacles! 】 C Ronaldo updated his Instagram dynamics, exposed training photos in the gym, and said: "Focus on results rather than obstacles!" .

In the last round of Saudi League, Riyadh lost to Jeddah United 0-1 away, and the ranking slipped to the second place. Riyadh’s next league victory will be the King’s Cup of Saudi Arabia against Abu Dhabi.

Google released the "super brain" PaLM-E in history, and robots have become versatile since then.

What happens when ChatGPT has vision?

Editor’s note: ChatGPT has grabbed most of the limelight in the AI field during this time. But recently, an AI model PaLM-E launched by Google, which has visual ability and can guide robots without special training, has also shown impressive capabilities. The emergence ability of this largest visual language model so far makes people think about general artificial intelligence. The article comes from compilation.

On Monday, a team of artificial intelligence researchers from Google and Technical University of Berlin launched a multimodal visual language model (VLM), which is called Palm-E. The model has 562 billion parameters and integrates vision and language for controlling robots. Researchers claim that this is the largest VLM ever, and it can perform various tasks without retraining.

According to Google, PalM-E can generate an action plan for a mobile robot platform (developed by googlebot) with a mechanical arm, and then execute it by itself, just by giving it a high-level command, such as "Give me the rice cake in the drawer".

PaLM-E realizes this by analyzing the data from the robot camera, and the whole process does not need to preprocess the scene representation. In this way, there is no need for human beings to preprocess and annotate the data, and the control of the robot can be more autonomous.

In the demo video provided by Google, PaLM -E carries out the instruction of "get me a bag of rice chips from the drawer", which includes several planning steps and visual feedback from the robot camera.

This model is also flexible and can respond to the environment. For example, the PaLM-E model can guide the robot to the kitchen to take out the rice cake bag. Because PaLM-E is integrated into the control system, it can be tolerant of possible interruptions during the task. In a video example, the researchers put the rice cake bag picked up by the robot back several times, but the robot will find the rice cake bag again and pick it up again.

In another example, the same PaLM-E model is shown to control the robot autonomously through tasks with complex sequences. Previously, such tasks often required manual guidance. Google’s research paper explains how PaLM-E transforms instructions into actions:

We demonstrated the performance of PaLM-E in challenging and diverse mobile control tasks. In the setting, we mainly follow the setting of Ahn and others. (2022), that is, robots need to plan a series of navigation and manipulation actions according to human instructions. For example, give the instruction "I spilled my drink, can you bring me something to clean up?" After that, the robot needs to plan an action sequence including "1. Find the sponge, 2. Pick it up, 3. Give it to the user, 4. Put it down". Inspired by these tasks, we developed three use cases to test PaLM-E’s embodied reasoning ability: fitness prediction, fault detection and long-horizon planning. Low-level policies come from RT-1 (Brohan et al., 2022), which is a transformer model. It can use RGB images and natural language commands, and then output end-effector control commands.

PaLM-E belongs to the "next-token predictor", so it is called "PaLM-E" because it is based on Google’s so-called "PaLM" large language model (similar to the technology behind ChatGPT). By adding sensory information and robot control, Google "visualized" PaLM.

Because it is based on the language model, PaLM-E can continuously observe, for example, images or sensor data, and encode them into a series of vectors with the same scale as language tags. In this way, the model can "understand" sensory information in the same way as language.

Google also provided a demonstration video, which showed that a robot "gave me a green star" under the guidance of Palm-E. The researchers said that this green star "is an object that this robot has not directly touched before."

In addition to the RT-1 robot transformer, PaLM -E also draws lessons from Google’s previous work on ViT-22B. ViT-22B is a visual transformer model released in February this year. ViT-22B has been trained in various visual tasks, such as image classification, object detection, semantic segmentation and adding subtitles to images.

Google Robotics is not the only research group dedicated to robot control using neural networks. This research reminds people of the paper recently published by Microsoft (ChatGPT for Robotics), which also discusses the control of robots by combining visual data with large language models in a similar way.

Robots aside, Google researchers have observed some interesting effects, which are obviously because PaLM-E uses a large language model as its core. First of all, it has the performance of "positive migration", which means that it can transfer the knowledge and skills learned from one task to another. Compared with the robot model with single task, the performance of the former is significantly higher than that of the latter.

In addition, they also observed a trend of model scale: "The larger the language model is, the more it can maintain its language ability when training with visual language and robot tasks-in terms of quantity, the PaLM-E model with 5620 parameters almost maintains all its language ability. “

PaLM-E is the largest VLM reported so far. Although we have only received the training of single image prompt, we have observed the emergence of emerging abilities such as multimodal thinking chain reasoning and multi-image reasoning. Although this is not the focus of our work, PaLM-E has set a new SOTA (Best Performance) on the OK-VQA benchmark.

——Danny Driess

Researchers claim that PaLM-E has demonstrated its emergent abilities, such as multi-mode thinking chain reasoning (which allows models to analyze a series of inputs including language and visual information) and multi-image reasoning (which uses multiple images as inputs to make reasoning or prediction), even though it has only been trained with single image cues. In this sense, as the deep learning model becomes more and more complex, PaLM-E seems to continue to surprise people.

Google researchers also plan to explore more applications of PaLM-E in real-world scenes, such as home automation or industrial robots. They hope that PaLM-E can stimulate more research on multimodal reasoning and embodied AI.

The word "multimodal" is very hot now, and we will hear more and more in the future, because major companies want to make general artificial intelligence that looks like human beings to perform general tasks.

Translator: boxi.

Unlock the new milestone!

Unlock the new milestone! # Messi Club’s 300th assists # [Like]

Paris beat brest 2-1 in this round, and Messi assisted Mbappé to finish the lore in the 90th minute. This assist is the 300th assist in Messi’s club career, and Messi unlocked a new milestone in his career!

The specific distribution of these 300 assists is 269 assists in 778 games in Barcelona and 31 assists in 65 games in Paris. # Messi assists Mbappé # # brest 1-2 Paris Saint-Germain #

1:0! Harland outbursts: 28 goals in 26 games broke the team history record again, and Manchester City was 2 points behind Arsenal.

In the early morning of March 12th, Beijing time, the 27th round of Premier League continued, and Manchester City played away against Crystal Palace. In the first half, Rodley’s shot was saved by Guaita, and in the second half, Foden’s free kick was saved by Guaita. Then Alvarez turned to lead the ball and volleyed it high, Gundogan made a point and Harland hit it. In the end, Manchester City beat Crystal Palace 1-0 away.

Manchester City beat Newcastle 2-0 at home in the last round to win the local derby. However, Nalsen’s winner made the Gunners still lead the standings by five points, making it difficult for Manchester City to defend the Premier League title. Crystal Palace, headed by former Arsenal captain Vieira, has never won a game in the last 10 games, only four points higher than the relegation zone before the game, but they won 1 win and 1 draw against Manchester City in two rounds last season. In the first leg, Manchester City won 4-2 at home, and Harland scored a hat trick.

Although the key matchup of the second leg of the Champions League knockout round is about to come, Guardiola did not have a clear rotation in this game. The two main players, De Braune and Walker, all sat on the bench, and the four central defenders, Ake, Diaz, Akanji and stones, lined up in the defense line; Rodley, Gundogan and B are in the midfield; Grali, Foden and Harland teamed up to attack the Trident.

There is a big gap between the two sides in terms of strength. Crystal Palace directly stationed troops to defend, while Manchester City formed a siege. In the second minute of the opening, Grali made a cross from the left, Diaz headed the ferry, and Rodri shot was saved by Guaita bravely. In the 4th minute, Grali made a breakthrough through a dragon, and then a shot in front of the restricted area missed slightly. In the 26th minute, Akanji made a long-range shot outside the restricted area, and the ball grazed the crossbar. In the 28th minute, Rodley went straight to the left, Grali made a cross on the left, and Aker inserted it and passed it again. Harland outflanked in front of the door and pushed it high. In the first half, Manchester City had 72% possession and 8 shots, but the score was still 0-0.

In the second half, Manchester City continued to exert pressure. In the 55th minute, Grali won an excellent free kick for Manchester City, and Foden shot the free kick directly. Guaita once again turned the ball away. Seeing that the situation continued to be deadlocked, Guashuai took the lead in taking the initiative to replace people, and Alvarez went on stage to strengthen the attack. In the 60th minute, Grali sent a straight plug from the right, and Alvarez turned and led the ball, then volleyed high.

Until the 78th minute,Gundogan was thrown to the ground by Ollie in the penalty area, and the referee decisively awarded a penalty. Harland stood in front of the penalty and hit it, 1-0!Manchester City finally took the lead, which is Harland’s 28th Premier League goal this season. Even if Kane scored twice this round and increased the number of goals to 20, there is basically no suspense in the Premier League Golden Boot. It is worth mentioning that this goal is also Harland’s 10th away goal in the Premier League this season, and now his home and away league goals have reached double digits. Previously, only aguero in Manchester City achieved double-digit goals at home and away in the Premier League in the 2014/15 season, and Harland became the second player in the history of Manchester City to do this.

Thanks to the only goal scored by Harland, Manchester City took away three points with a 1-0 away win and won four consecutive victories in various competitions. In the case of one more round, the difference with Arsenal was temporarily narrowed to two points, and Manchester City will face Red Bull Leipzig at home next week, which will determine whether Manchester City can enter the key battle of the Champions League quarter-finals.

[Chen Wei, deputy to the National People’s Congress: Accelerate the research and development of artificial intelligence and improve the health service capacity of Chinese medicine]

Chen Wei, deputy to the National People’s Congress and vice president of Quzhou Traditional Chinese Medicine Hospital, Zhejiang Province. Photo courtesy of respondents

In recent years, with the change of disease spectrum, the acceleration of aging, the improvement of residents’ living standards and many other factors, the demand for health services of residents has become increasingly diversified, and higher requirements have been put forward for rehabilitation, health care and other services.

"In terms of health care, Chinese medicine has advantages. The introduction of artificial intelligence technology into the field of Chinese medicine has created a new environment for its development. " During the two sessions of the National People’s Congress in 2023, Chen Wei, deputy director of the National People’s Congress and Quzhou Hospital of Traditional Chinese Medicine in Zhejiang Province, paid special attention to "accelerating the research and development of artificial intelligence and improving the health service capacity of Chinese medicine".

In her usual work, Chen Wei found that the intervention of artificial intelligence made it possible to use the "holistic concept" of traditional Chinese medicine to guide health management. "For example, in the health management at the stage of empowerment, personalized health management can be achieved by detecting and collecting relatively high-quality physical sign signals and intelligently predicting human health status through portable wearable intelligent equipment; In the health management at the stage of empowerment, the use of intelligent training means, combined with traditional Chinese medicine experience and strong artificial intelligence interaction means, can help long-term sub-health or groups with chronic diseases and physical disabilities to achieve rehabilitation training, and intelligently analyze physical function data to optimize and adjust treatment plans in real time. " Chen Wei introduced.

In the practical application of artificial intelligence equipment, many problems have also been exposed. "The main problems are unreasonable algorithm design and model construction, lack of available data of traditional Chinese medicine, lack of standards, and shortage of artificial intelligence talents of traditional Chinese medicine." For example, Chen Wei said that in the face of diseases with single condition and clear diagnosis, artificial intelligence equipment can still give a better diagnosis scheme, but in the face of more complicated cases, it will highlight the lack of flexibility and flexibility in diagnosis.

In addition, although the diagnosis and treatment of artificial intelligence brings great convenience to medical activities, it cannot give patients humanistic care. In the process of diagnosis and treatment, patients not only have to endure the physical pain caused by illness, but also bear great psychological pressure. At the same time, patients are often unable to accurately describe their illness due to great psychological pressure, lack of professional knowledge or limitations of diseases. Due to these vague or distorted information, the applicability of artificial intelligence instruments will be severely challenged.

To this end, Chen Wei suggested improving the top-level planning and pointing out the development direction. "Top-level planning is the premise of the development of artificial intelligence. In order to promote the development of artificial intelligence in the field of traditional Chinese medicine, relevant departments should scientifically analyze the development prospects and actual research and development of artificial intelligence in traditional Chinese medicine, and formulate top-level planning and phased research directions with disciplinary characteristics." Chen Wei believes that in view of the characteristics of "thousands of people and thousands of prescriptions" in traditional Chinese medicine, the planning should focus on improving the innovation of technology and the flexibility of equipment in the process of medical activities, making full use of the database of traditional Chinese medicine, and giving play to the functions of auxiliary diagnosis and treatment and health management of artificial intelligence of traditional Chinese medicine.

At the same time, the development of TCM artificial intelligence involves knowledge of TCM, computer, mathematics and other disciplines. The development of TCM artificial intelligence should take TCM as the core, take computer, mathematics, machinery, electronics, engineering and other disciplines as tools, improve the equipment software system, and standardize and digitize the data. In this regard, Chen Wei suggested that colleges and universities should establish and improve the training mode of compound talents of traditional Chinese medicine and artificial intelligence, optimize the high-tech innovation system, strengthen inter-disciplinary exchanges and multi-disciplinary cooperation and development, and provide conditions for training interdisciplinary comprehensive talents.

User experience is also a key point that cannot be ignored. Chen Wei believes that it is necessary to strengthen the technical training of medical personnel in TCM artificial intelligence equipment and application, so that small doctors can prescribe relatively accurate prescriptions and improve their diagnosis and treatment ability. At the same time, pay attention to the implementation of equipment use, encourage residents to actively experience the equipment and carry out the market demand survey of artificial intelligence in traditional Chinese medicine, so that the equipment can be fully utilized, truly serve the society, and promote the inheritance and development of health services in traditional Chinese medicine.

Glazer postponed the sale of Manchester United again! If you win the triple crown, you may raise the price again and want to sell 8 billion.

The Glazer family has postponed the deadline for Manchester United’s potential acquisition. According to the British "Daily Telegraph", the American boss will now decide whether to sell the club in June. Previously, it was expected that the earliest time for Manchester United to be sold was March, and it is now difficult to achieve it.

The Telegraph reported that if the Glazers wanted to sell the club, June was considered a more realistic timetable. They want to receive at least 6 billion pounds now, but the bids of Sheikh Jasim bin Hamad Al Thani from QIB consortium in Qatar and Sir Jim Ratcliffe, the former richest man in Britain, are far below this estimate, only 4.3 billion to 4.5 billion pounds.

Theoretically, Manchester United’s acquisition process has entered the second stage. On Thursday, officials of Elliot Management Elliot, an American hedge fund, took the lead in meeting with Rennes Group, which is in charge of Manchester United’s sale process, and Ross Childe, the financial adviser of Glazer family, also attended.

Elliot Foundation is willing to invest in Manchester United, including investing 2 billion pounds to repair Old Trafford, but does not intend to buy it out. They can earn the difference by doing what they did to AC Milan in the past, which can also leave the Glazer family with the option to continue to hold Manchester United.

Elliott’s representatives watched the Europa League at Old Trafford on Thursday. Next week, representatives of the Ineos Group of Sheikh Jassim and Ratcliffe will attend the detailed introduction in Old Trafford. Although only the above two parties have made their bids public so far, at least one or two other potential vests are also interested in buying Manchester United.

The British "Sun" said that a consortium organized by fans also intends to make an offer for the acquisition of Manchester United. CBS reported that the consortium hopes to "use the collective strength of Manchester United supporters around the world to regain control of their beloved clubs". This consortium will be composed of private investors and fan foundations, and fans can buy NFT digital rights certificates in exchange for membership and some control over decision-making.

The source said: "This will be the first time the club has heard about this project. We will send the details to Manchester United and invite the club, club representatives and fans to ask questions. The mission behind Manchester United is to reform the ownership structure of elite sports by giving fans the highest say. 」

However, former Manchester United defender gary neville is worried that the Glazers will use Elliott’s investment to keep the club or raise the selling price. Neville said on British Sky Sports: "It looks like a play between Joel and avram Glazer, either staying in control of the club or forcing other bidders to raise their bids. 」

The Glazers don’t mind waiting and seeing. If Tenghage can lead Manchester United to win the Europa League and the FA Cup again and achieve the "triple crown", they can completely raise the club’s price tag to their dream level of 8 billion pounds!

Kaveh Solhekol, the chief reporter of Sky Sports, said that even the wealthy Qatar consortium may give up the acquisition if the Glazers don’t cut prices, because they don’t want to be the lamb slaughtered by the lion.

Sky Sports pointed out that many people think that 4.5 billion pounds is an incredible sum for a club that has lost money for three consecutive seasons. Bloomberg’s report quoted a football club valuation model, saying that Manchester United is actually only worth 850 million pounds. But Manchester United belong to the Glazer family, so they can decide what will happen next, and it is not yet certain whether they will decide to sell.

How will ChatGPT and robots evolve?

At present, the AI technology represented by ChatGPT is exploding on the Internet. As a natural language processing tool driven by artificial intelligence technology, it can not only conduct dialogues by learning and understanding human language, but also chat and interact according to the context, and also write copywriting, code, answer questions and automatically search for answers.

Based on artificial intelligence technology, service robots match users’ needs, deeply integrate in some specific scenarios, and solve customers’ problems conveniently and quickly. They are widely used in government affairs, taxation, public security, banks, hospitals and other fields. When OpenAI announced the opening of the APIs of ChatGPT and Whisper models, what kind of sparks will the service robots meet with ChatGPT’s "technology giant"?

Robot is the most important terminal of the relationship between ChatGPT and the physical world. The service robot connected to ChatGPT can not only think independently like human beings, but also answer users’ questions accurately, and provide more comprehensive artificial intelligence technology for the service robot. It can be said that the appearance of ChatGPT has raised the interaction ability between people and robots to a higher level. As a leading enterprise in the field of service robots for many years, Ruiman Robot has a forward-looking insight into the development trend of the industry, and integrates ChatGPT into the application of service robots through the API interface of ChatGPT model, which brings infinite innovation possibilities for the development of service robots.

It is understood that ChatGPT is built based on the GPT-3 architecture launched by OpenAI 2020, and the price of ChatGPT API is one tenth of the existing GPT-3 API price of OpenAI. This large model based on large-scale data training also provides new ideas and ways for the research of artificial intelligence applications in specific fields, and solves some human-computer interaction problems in specific fields, such as some common-sense and transactional questions and answers.

As an artificial intelligence language model, ChatGPT has no built-in speech recognition function. The service robot’s own voice recognition module, after integrating ChatGPT function, can quickly identify users’ questions, analyze and understand the meaning of users’ input through ChatGPT’s "super brain", it can identify keywords and phrases, understand the context, and produce appropriate responses according to this understanding.

Traditional service robots rely on identifying keywords that users ask, or guiding users to self-query. By using deep learning technology and large-scale training scenarios, ChatGPT has realized multi-dimensional advanced functions, so as to understand and use human language, which is very suitable for the needs of hospitals, government agencies, bank front desk, exhibition hall reception, new retail shopping guide and other fields. One of the core demands of the service industry is patience and care. The service robot connected to ChatGPT not only avoids "answering irrelevant questions", but also answers more completely and carefully.

With the empowerment and acceleration of ChatGPT in the robot field, the traditional service robot will also evolve from "function" to "intelligence". The development of AI technology should aim at human needs and solve practical problems for users. The integrated application of ChatGPT and robot with powerful functions is not a completely automated process, but a tool to enhance the robot’s ability. In the future, ChatGPT will lead service robots to undergo important changes in industrial production, social services and other fields, and lead the wave of diversified development of the robot industry.

Ten trillion parameters, can you pile up a general artificial intelligence?

# Headline Creation Challenge ## One knowledge point every day ## 10 trillion parameters, can you pile up a general artificial intelligence? #

Although the current large-scale language models, such as GPT-3 and GPT-4, have more than 10 trillion parameters, these models still cannot be regarded as the realization of General Artificial Intelligence (AGI).

General artificial intelligence refers to an artificial intelligence system that can carry out various intelligent activities like human beings. It has the ability of self-learning and adaptation, and can cope with various situations and tasks. Although the current large-scale language models can perform well in some tasks, they are still only in the category of "Narrow AI".

In addition, general artificial intelligence needs to have more abilities, such as perception, exploration, understanding and emotion, which are still not realized by simple parameter stacking. Therefore, to achieve real universal artificial intelligence, we need to innovate and make progress in algorithms, hardware and software.

However, to achieve real universal artificial intelligence, we need to innovate and make progress in the following aspects:

  1. Algorithm: Although the current large-scale language models can perform well in some tasks, they are still only in the category of "narrow artificial intelligence". Therefore, we need to research and develop more general artificial intelligence algorithms, such as reinforcement learning, meta-learning and transfer learning.
  2. Hardware: In order to realize general artificial intelligence, a lot of computing resources are needed to support the operation of artificial intelligence system. Therefore, it is necessary to research and develop more efficient and intelligent computing hardware, such as quantum computers and neuron chips.
  3. Software: To realize general artificial intelligence, we need to develop a more perfect software system, including autonomous learning and adaptability, emotion and consciousness. This requires us to deeply study the essence and mechanism of human intelligence and apply it to artificial intelligence systems.
  4. Human-computer interaction: To realize general artificial intelligence, we need to research and develop more natural and efficient human-computer interaction methods, including voice, images, gestures and other forms. This requires us to conduct in-depth research on human interaction patterns and habits and apply them to artificial intelligence systems.

To sum up, the realization of real universal artificial intelligence needs innovation and progress in algorithms, hardware, software and human-computer interaction. Although the current large-scale language model parameters have reached 10 trillion, they still cannot be regarded as the realization of general artificial intelligence. We need to make continuous efforts and exploration to realize the real general artificial intelligence.

ChatGPT

Exploring the future traffic: how does AI navigation predict that the red light will turn green and let you pass the signal light first?

With the acceleration of urbanization and the popularity of automobiles, traffic congestion has become a problem in many cities. Because of the difference of traffic signal control mechanism, navigation software sometimes leads drivers to crowded sections, which slows down the travel speed and affects the road traffic flow. In recent years, more and more navigation software began to try to predict the change of traffic lights through intelligent technology, so that drivers can travel more efficiently. So, how does the navigation know that the red light is about to turn green? This involves black technology such as machine learning and Internet of Things technology, which will be introduced in detail below.

First, the traffic light control mechanism

Before introducing the change mechanism of navigation forecasting traffic lights, let’s first understand the principle of traffic light control. Signal light control mainly adopts timing control and induction control.

Timing control: the signal light changes according to the preset time, for example, the parking red light is on for 3 minutes and the green light is on for 1 minute. This method is mainly suitable for areas with small human flow, such as night or remote areas.

Induction control: the signal lamp responds to the traffic flow on the road through the induction equipment, and dynamically adjusts the time of light color change. For example, when it is detected that the traffic volume increases and there is accumulation at the same time, the signal lamp will adjust the color change time according to the situation to give priority to ensuring the smooth flow of traffic.

Second, how does navigation predict the change of signal lights?

Based on the different control mechanisms of traffic lights, navigation software can use different technologies to predict the changes of traffic lights.

1. Timing prediction

For the signal lamp with timing control, navigation can calculate the period and time of signal lamp change by recording historical data, and compare it with the current time, thus predicting the time of signal lamp change. This method is simple and reliable, and is suitable for areas with small human flow. However, because this method can’t consider external factors such as traffic flow changes on roads, the accuracy is low for urban areas with traffic congestion.

2. Sensor prediction

For traffic lights controlled by inductive devices, navigation software can obtain real-time traffic flow data through the Internet of Things technology, so as to predict the changes of traffic lights. This method needs to cooperate with the sensor equipment on the road, and establish a data model by collecting data such as traffic flow and speed, so as to accurately predict the changing time of traffic lights. For example, Google tried this method in its own map, and established a global traffic information database by collecting users’ location data and traffic condition data, thus providing real-time congestion information on a global scale.

3. Artificial intelligence prediction

In addition to sensor prediction, machine learning can also be applied to signal light change prediction. Navigation software can build a model to predict the change of traffic lights by collecting users’ position, speed and various data used for road features, such as historical traffic volume, rush hour travel time, weather, etc., and then using machine learning algorithms to analyze these data. Using artificial intelligence technology to predict traffic lights can predict the changing time of traffic lights more accurately, and at the same time, take road traffic conditions into consideration to enhance the stability and accuracy of prediction.

III. Summary of the article

With the continuous development of Internet of Things technology and artificial intelligence, the ability of navigation software to predict the change of traffic lights will become stronger and stronger. To sum up, navigation can predict the change of traffic lights by recording historical data, sensor prediction and artificial intelligence prediction. However, at present, the accuracy of navigation software to predict the change of traffic lights still needs to be improved, and more accurate data collection and more efficient algorithms are needed to strengthen the prediction model. The technology of predicting the change of traffic lights can better realize the intelligence of urban traffic and provide drivers with a more convenient and efficient travel experience.

Shanghai International Tourism Resort has also added new projects! Ji Le Tang Million Shudu Street opened

"The former family came to the resort and lived in the Disney Hotel. This time, I found a new spa street, and I tried this. Multi -sclerosis. Tang, who comes from Xishuangbanna, said" All Japanese style, very good Essence ""

On July 23, it was officially opened on the blooming soup million Qifeng Street, and Shanghai International Tourism Resort. As the country’s first "hot spring resort town", it is very suitable for resort to be a unique Japanese style and add unique Japanese style. This also means that most citizen tourists have leisure choices in resort.

Jiletang Million Shudu Street is located in a bookstore shopping village near 99 Shendi East Road. It is located in Shanghai Lavender Park with a total floor of about 18,000 square meters. This is a multi -functional complex integrated leisure, entertainment, catering, shopping.

It is reported that Jile Million Wo Wo Hot Spring Street is a 10-storey-floors. The Japanese hot spring brand "Company Nam Co., Ltd." 10th store in China, it is also its first store "Million Stone" Essence

Unlike the "Urban Hot Spring" models of other BLISS Tangmen stores, Extreme Le Tang Million Peak Street includes Japanese hot spring venues, Japanese cuisine, pure Japanese collapsed rice rooms, Japanese garden landscapes and courtyards, and so on. Bring new foam and holiday experience to consumers.

According to reports, Tang’s water in each soup hall in the temple Tang million SHUM Hot Spring Street is from the "Silver Decoction" natural hot spring water, in Shaxi, Taicang. "Fluoro" hot springs are rich in "iron acid". Happy soup will also be based on different seasons. Give public tourists more experience in bubble soup. Also, 4 private soup rooms were designed. Each decoration style is different. Outdoor scenery, suitable for family, friends gathering.

The person in charge of the headquarters street engineering operation, "One Tie 20" is a holiday method for traditional Japanese hot spring tourism. Refers to one night, enjoy two meals. Therefore, unlike other happy soup projects, this is a "hot spring resort town", which is a "hot spring holiday town". There are a variety of rooms, more than 20 rooms, for tourists to stay here and enjoy the Japanese SPA resort.

Also, "Three Tea Butterfly House" in Kim Experience Store, "Hyja Island" in Japanese restaurants, Japanese brand pharmaceutical cosmetics shop "Loyal Qiliac Tang" and other companies have opened the door. Three tea butterfly huts, tourists can experience various clothes and experience Japanese traditional culture.

Beijing tourist Zhang Yang took away the happy soup million Shi Hot Spring Street. In the first time, my name was "Three Tea Butterfly House". "I wore Disney Paradise to watch the fireworks last night. It was very interesting. I haven’t experienced clothes before going to Japan. This time, I also gave my regret at that time." The leaders of the three tea butterflies told reporters that the Japanese tea ceremony will be launched next year, one Fragrant experience, and so on. Continuous consumer experience.

Fortunately, in Unicolands, they gathered in many cosmetics, special foods, and so on. Bring a one -stop shopping experience to consumers; all -day restaurant administrative kitchen, full Japanese restaurant. Visitors can enjoy pure Japan and concessions.

It is reported that the temple Tang million SHINK Spring Street began on July 15th. However, the hot spring street soup is only open to the accommodation guests. The private soup house is not open.

Hong Wei introduced that during the trial operation, the room was almost every day in the hot spring street. The concept of peace, "sincerity, no stain" standards of "we will use the safety, remember" standards, and various services have been continuously improved, bringing consumers to consumers A better experience. "

The relevant person in charge, Shendi Group, said that the THATEXTREMELY on the street, allowing the Shanghai International Tourism Resort to have a unique Japanese style. "I hope that citizens of the garden, hot spring holidays, such as home Express Hotel, have gained a new leisure and entertainment experience here. Subsequently, we will continue to launch more high -quality projects.

Editor Zhang Qi

Responsible editor Liu Xinwei

Picture source Xinyiqi

View Author: Pudong Observation