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Original title: Top ten luxury mineral water brands in the world. How much is the most expensive bottle of mineral water?

How much is the most expensive bottle of mineral water?

It may be hard for most people to believe it …

According to the comprehensive ranking, the top ten luxury mineral water brands in the world are: Beverly Hills 90h20, modigliani, Exousia Gold, Kona Nigari, Fillico, Berg Iceberg Glacier Water, Iluliaq Glacier Water, Bling H2O Buling Mineral Water, CHATELDON Chatterdon Mineral Water and AQUADECO Yajia Spring. The details are as follows: The details of the top ten luxury mineral water brands in the world are as follows.

1. Beverly Hills 90h20 mineral water (reference price: 680,000)

This water was selected as the "Best Mineral Water Award in the World" by many high-quality water engineers. It is said that the water source comes from the middle of the Los Angeles Mountains. Its packaging is also very luxurious, and the bottle cap is inlaid with 600 white diamonds and 250 black diamonds.

2. modigliani mineral water (reference price: 420,000)

It is said that the bottle body is made of 24K pure gold, and it is from the artist Fernando. The water comes from Fiji and France, and it contains gold powder.

3. Exousia Gold (reference price: 170,000)

When making water, a special distillation method is used, which is said to have the effect of delaying aging.

4. Kona Nigari (reference price: 2730 yuan)

The water source is selected from the seabed of Hawaii Island. It is said that drinking the water for a long time can help to lose weight and improve the skin condition.

5. Fillico (reference price: 1491 yuan)

The low hardness natural mineral water from Kobe, Japan, has a gorgeous bottle. The bottle cap adopts the shape of a crown, and the bottle body is inlaid with many Swarovski crystals, which are matched with a gold coating. Limited to 500 bottles for sale every month.

6. Berg iceberg brand glacier water (reference price: 900 yuan)

The water source is the ancient glacier in the west of Greenland 15,000 years ago, with soft water quality, slightly sweet taste and low mineral content.

7. Water of Iluliaq Glacier (reference price: 320 yuan)

The water comes from the Selmec Kujalek Glacier in Greenland, and the annual output is very small, and it will only be produced according to the demand. The company will also mark the name of the user who buys glacier water on the bottle, which is the love of celebrities and rich people.

8. Bling H2O Buling mineral water (reference price: 307 yuan)

This kind of water is very popular abroad, and many globes and stars have drunk it. The water source is from Dayun Mountain, Tennessee, USA. The bottle is frosted glass, and the logo is inlaid with 64 Swarovski crystals.

9. CHATELDON Chatterdon mineral water (reference price: 108 yuan)

It is the royal mineral water of King Louis XIV, which is rich in minerals and can usually only be bought in high-end restaurants.

10. AQUADECO Yajia Spring (reference price: 82 yuan)

It is said that the water source comes from an aquifer formed in the ice age tens of thousands of years ago, with a cool entrance, pure water quality and minerals.

Among the top ten most expensive mineral water brands in the world in 2022, besides emphasizing healthy water quality, bottle design and added value occupy the main premium factors.

Editor in charge:

At the end of August, the Crescent Spring Scenic Area of Mingsha Mountain in Dunhuang presented a spectacular sight of camel teams like dragons. Yang yanmin

At the end of August, the Crescent Spring Scenic Area of Mingsha Mountain in Dunhuang presented a spectacular sight of camel teams like dragons. Yang yanmin

The picture shows that at the end of August, Dunhuang Mingsha Mountain "camel man" walked in the desert. Gao Ying photo

　　Zhongxin. com Lanzhou, September 4 (Reporter Feng Zhijun, Gao Ying) In the early autumn morning, the "enthusiasm" for tourism in Dunhuang, Gansu, an international tourist city, has not diminished. The local crescent spring scenic spot in Mingsha Mountain presents a spectacular scene of crowds and camel teams. The golden grains of sand became hot under the direct "baking" of the sun, and a large number of camel teams continued to flow, and camel bells were heard endlessly, as if they were in the ancient Silk Road thousands of years ago.

　　Wang Kerui, 38, is a camel driver in the scenic spot. He told the reporter of Zhongxin.com that camel riding is one of the projects that many tourists must "punch in" when they come to Mingsha Mountain. Each camel team is arranged by number, ranging from 4 to 5 peaks to 6 peaks, all of which are led by special camel drivers, leading tourists to shuttle between the vast sand mountains. At the peak of summer vacation, you should walk at least ten laps in the scorching sun every day, with a distance of nearly 70 kilometers at most.

　　"Get up at four o’clock every morning and arrive at the scenic spot at five o’clock, and take the camel to the hospitality position … …” Wang Kerui said that the most tiring and hottest time every day is two or three o’clock at noon, which is the highest temperature in Dunhuang every day. Originally, the sand absorbs heat, and people can feel "hot feet" when they walk on the sand. Camels often get "hot" when they walk on it. Sometimes I’m too busy to eat. After a day’s walk, people are exhausted and feel that "my legs and feet are not my own".

　　"Step on the pedal and hold the saddle steady!" Every time we meet a new group of tourists, camel drivers should constantly repeat the safety instructions when riding camels to tourists. It is thirsty to shout down again and again in the high temperature.

　　Wang Kerui said that the busiest time is often when a circle has not come back, and the next batch of guests are already waiting. The camel people have almost no rest time, so they can only take a break in the shade and have a drink of tea, and then start the next round of hiking.

　　In order to ensure the riding safety of tourists, every camel driver has to undergo training for about three months before taking up his post. Wang Kerui said, although this job is very simple, it is still difficult to take the camel away, but it must be taken by a master. The first-hand leaders teach you how to tie the belly belt, saddle up, rein in the reins, and how to walk. These are all technical and seemingly simple, but it is still very difficult to do. First of all, the most basic thing is to ensure the safety of tourists.

　　It is understood that at present, there are about 1,300 humped camels and more than 400 camel pullers serving tourists in Crescent Spring of Mingsha Mountain in Dunhuang.

　　Zhao Ziming, a post-90s camel breeder in Mingsha Mountain, Dunhuang, now has his own "small team". He uses all the 30-peak camels in his family for tourism projects and employs seven people to take care of the camels’ "diet and daily life".

　　Zhao Ziming said that during the tourist season, camels will be fed with feed and other "supplementary nutrition". In the past, camels could be fed by hand, but now the conditions are better than before. In addition, with the continuous considerable income in recent years, the feeding quality of camels is also constantly improving.

　　In September, the peak of summer tourism in Dunhuang gradually "cooled down", and the work of camel drivers will gradually return to dullness. As the sun sets, the breeze in the evening gently smoothes the footprints left by the previous camel team on the sand dunes, and the camel’s face is wrapped in a shawl to resist the sandstorm and continues to move forward, measuring the vast desert with his feet. (End)

On February 14th, Chengmai County’s "Spring Cup" men’s nine-person township volleyball league ended successfully in Jiale Town, and Jinjiang team won the championship. Wang Guangjun, member of the Standing Committee of the County Party Committee and Minister of Propaganda Department, attended the award ceremony and presented awards to the winning teams.

In this men’s nine-a-side volleyball league, two teams from Shandong and 14 teams from towns and villages in Chengmai County were specially invited to participate in the competition. The competition is divided into two stages. The first stage is the group single round robin, and the top two places in the group are decided. The second stage is the cross knockout. After the cross knockout, the top four are decided to enter the semi-finals and finals.

On the same day, after the previous stage of group competition and cross-competition, the teams of Jinjiang, Yongfa, Wenru and Jiale, which reached the top four, competed for the top three. On the field, the players of each team fought bravely for the first place, showing their superb skills and good competitive style, which triggered cheers from the audience, and the cheers were higher and higher. After fierce competition, Jinjiang team won the championship, Yongfa team won the second place, Wenru team and Jiale team won the third and fourth place respectively.

Through the competition, we will further improve the competitive level of volleyball in Chengmai County, spread an active and healthy lifestyle, create a festive and peaceful holiday atmosphere for the Spring Festival and a strong national fitness atmosphere, and promote the high-quality development of sports in Chengmai County.

(Photo: Chengmai County Rong Media Center)

Image source network

The word "culture": its appearance in China can be traced back to the Western Han Dynasty. "Culture" is not only a system of civilizing and educating, but also a system of rites and music. This understanding has been maintained in our country until modern times. The meaning of the word "culture" that we use today is obviously different from that of ancient times. It was introduced from the west through Japanese translation at the end of the 19th century. At that time, there was no definition of the word, and people only used the word "culture" according to their own understanding and needs. According to analysis, there were about three meanings at that time; First, it is synonymous with "civilization"; Second, in a broad sense, it includes spiritual and "civilization" contents; Three, narrow sense, refers to the spiritual content. To this day. The meaning of culture is broader; There are also many people who agree that culture refers to "ideology", and everything outside politics and economy is among them; Others make a broader understanding that everything created by human beings (that is, the integration of material civilization and spiritual civilization) is culture; Besides, some people have other explanations.

In view of the fact that scholars at home and abroad have different opinions on the concept of "culture", it has been suggested that the word "culture" may be a vague concept naturally, and it is difficult to make a clear and complete definition. Instead of pursuing a simple and precise definition, people should determine a flexible range from the perspective of set.

Although there are many definitions of culture, I personally think that it should be the same in many aspects, and we can roughly summarize it into the following three aspects;

First, ideology (also known as ideology) means people’s world outlook, way of thinking, religious beliefs, psychological characteristics, values, moral standards, cognitive ability and so on.

Second, the way of life, that is, people’s attitude towards their food, clothing, housing and transportation, marriage, birth, illness, family life and social production activities, and some forms taken in these aspects.

Third, spiritual materialized products, that is, from the formal point of view, are some material things, but through the material form, they can reflect people’s differences and changes in ideas.

From the above three parts, the scope of culture is basically outlined. But we should pay attention to: the word culture; It should be an organic whole, which is not only the simple addition of the contents of these three parts, but also the mutual influence and premise of the contents of these three parts, and should be organically combined according to a specific sequence.

Why is the game fun? Author: Wang Yahui, Version: Turing New Knowledge | People’s Posts and Telecommunications Publishing House, March 2023. (Poster design: Liu Xiaofei)

Recommended reason:

On May 12th this year, Nintendo released "the legend of zelda: Tears of the Kingdom", which sold 10 million copies worldwide in just three days, and triggered a wave of sharing among players on social media at home and abroad. With the development of media technology, the "ninth art" of games is increasingly attractive to people. Why is the game so fun? As a veteran gamer and the author of "The Game of China", Wang Yahui answers this fundamental question in a simple way through a large number of classic game cases such as Super Mario, Tetris, Diablo and the legend of zelda.

This book holds that games have clear and macroscopic "Rules" written in the instructions, and also have hidden and precise "Game Mechanics" that require players to explore themselves, while classic games can often derive the most complex and changeable mechanisms with the simplest rules. Judging from the two dimensions of time and space, which are the most basic for human beings to know the world, whether it is an extremely simple but popular elimination game such as Tetris and Bubble Dragon, or the most popular Jedi Survival, it is a superb use of the "space restriction" mechanism. Max payne, a classic adventure action game, tapped the potential of time mechanism through the use of bullet time.

In addition to space and time, this book also discusses the game mechanism in many aspects, such as money, props, skills, tasks, collection, etc., sorts out the classic design patterns in the study of game mechanism, and expands the horizons of ordinary readers to understand the game.

Editor/Shang Zhongming Wang Mingbo

Proofreading/Xue Jingning Fu Chunyu

CVPR 2023, one of the top three computer vision conferences, was exposed in the paper of China Smart Car Company.

Domestic autonomous driving companyHao mo zhi hangThe paper Bev-Lane Det: A Simple and Effective 3D Lane Detection Baseline submitted by the technical team of its Artificial Intelligence Center was successfully selected into CVPR2023.

What problems should the new research solve?

3D lane detectionAs a hot topic in the field of automatic driving, it plays a vital role in vehicle routing. In the past, related technologies were often difficult to be applied because of its complex spatial transformation and inflexible representation of 3D lanes.

Faced with these problems, Millie independently developed an efficient and robust monocular 3D lane detection, referred to as:BEV-LaneDet.

In BEV-LaneDet, Millimeter team first converted all the internal and external parameters of the input image into unified internal and external parameters through the virtual camera, which ensured the consistency of the spatial relationship of the front cameras in different vehicles and effectively promoted the learning process.

Moreover, Millimeter Team uses feature extractor to extract the features of the front view image, and proposes a simple but effective 3D lane representation, which is called "Key-Points Representation". This module is more suitable for representing complex and diverse 3D lane structures.

On this basis, inspired by FPN, Millicent team also designed a lightweight and chip-friendly spatial transformation module called "Spatial Transformation Pyramid", which is a fast multi-scale spatial transformation module based on VPN, mainly responsible for the transformation from front view features to BEV features.

Finally, the team predicted the lane on the plane tangent to the local road surface, divided the local road surface into s1×s2 grids, predicted confidence, embedding for clustering, lateral error offset and the height of each grid, and used fast clustering method to fuse the results of each branch in reasoning to obtain 3D lanes.

How did BEV-LaneDet perform?

Through the above methods, the F1-S?core of BEV-LaneDet can reach 185FPS on the OpenLane dataset, which is 10.6% higher than the current SOTA.

BEV-LaneDet can also lead the current SOTA method by 4.0% in the performance of Apollo 3D Lane Synthetic.

At present, Mimo Zhixing is the first echelon player in domestic self-driving mass production, and the paper written by its technical team BEV-LaneDet was selected for CVPR, which is actually the embodiment of the technical strength behind the commercial progress.

At present, HPilot has iterated three generations of products, and has achieved mass production on nearly 20 models of Wei brand, tank, Haval, Euler, Great Wall Gun and other brands. In the future, passenger cars equipped with Millimeter-assisted driving products will reach millions of orders of magnitude. As of February 2023, the mileage of user-assisted driving has exceeded 35 million kilometers. NOH, the first city in China that can land on a large scale, has also reached the delivery status with its software sealed.

In addition, the terminal logistics automatic delivery vehicle has initially completed the commercial closed loop, delivering more than 1,000 units, and the delivery order volume of the terminal logistics automatic delivery vehicle Little Magic Camel series has also exceeded 160,000, and the commercialization process is accelerating in an all-round way.

Introduction to CVPR

IEEE (Institute of Electrical and Electronics Engineers) CVPR (Conference on Computer Vision and Pattern Recognition) is one of the three top conferences in the field of computer vision and pattern recognition.

The main content of the conference is computer vision and pattern recognition technology. CVPR is the world’s top computer vision conference (one of the three top conferences, the other two are ICCV and ECCV). In recent years, there are about 1,500 participants every year, and the number of papers collected is generally about 300.

CVPR has strict employment standards. According to CVPR officials, CVPR2023 received a total of 9,155 papers, a record high, and the organizing committee finally hired 2,360 papers, with an acceptance rate of 25.78%.

CVPR is also the witness of major changes in the field of AI vision. The current wave of AI driven by deep learning originated from Hinton’s blockbuster in CVPR Challenge.

Address: https://arxiv.org/pdf/2210.06006.pdf.

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[Smart Car Reference] Original content is prohibited from being reproduced at will without the authorization of the account.

Inspired by recent biological discoveries, researchers have developed a new model that shows enhanced memory performance. This is achieved by modifying a classic neural network. Computer models play a key role in studying the process of making and retaining memories and other complex information in the brain. However, building this model is a delicate task.

The intricate interaction between electrical and biochemical signals and the connection network between neurons and other cell types create the basic structure for the formation of memory. Nevertheless, due to the limited understanding of the basic biology of the brain, it has proved to be a difficult task to code the complex biology of the brain into a computer model for further study.

Researchers at Okinawa Institute of Science and Technology (OIST) improved the widely used memory computer model (called Hopfield Network) by incorporating biological insights. This change has inspired a neural network, which not only better reflects the connection between neurons and other cells in the brain, but also has the ability to store more memories.

Thomas Burns, a doctoral student in the group of Professor Zhishu Shenjing, who is the head of OIST’s neurocoding and brain computing department, said that the increased complexity in the network makes it more realistic.

"Why is there so much complexity in biology? Memory may be one reason, "Mr. Burns said.

In the classical Hopfield network (left), each neuron (I, J, K, L) is connected with other neurons in pairs. In the improved network made by Burns and Professor Shenjing, three or more groups of neurons can be connected at the same time. Source: Thomas Burns (OIST)

Hopfield network stores memory as a weighted connection pattern between different neurons in the system. The network is "trained" to encode these patterns, and then researchers can test its memory of these patterns by presenting a series of vague or incomplete patterns to see if the network can recognize them as patterns it already knows. However, in the classical Hopfield network, the neurons in the model are connected with other neurons in the network to form a series of so-called "paired" connections.

Paired connections represent the connection between two neurons at the synapse, which is the connection point between two neurons in the brain. But in reality, neurons have complex branching structures called dendrites, which provide multiple connection points, so the brain relies on more complex synaptic arrangements to complete its cognitive work. In addition, the connections between neurons are regulated by other cell types called astrocytes.

Burns explained: "There are only paired connections between neurons in the brain, which is simply unrealistic. He created an improved Hopfield network, in which not only pairs of neurons, but also three, four or more groups of neurons can be connected, such as astrocytes and dendritic trees in the brain. "

Although the new network allows these so-called "collective" connections, on the whole, it contains the same number of connections as before. The researchers found that a hybrid network with paired connections and collective connections performed best and retained the most memory. They estimate that its effect is more than twice that of the traditional Hopfield network.

It turns out that you actually need to balance the combination of various features to some extent, Burns said. A single synapse is necessary, but you should also need some dendritic trees and some astrocytes.

Hopfield networks are very important for simulating brain processes, but they also have powerful other uses. For example, a very similar network type called Transformers is a language tool based on artificial intelligence, such as ChatGPT, so the improvements identified by Burns and Professor Shenjing may also make such tools more powerful.

Burns and his colleagues plan to continue to study their modified Hopfield networks to make them more powerful. For example, in the brain, the connection strength between neurons is usually different in two directions, so researchers want to know whether this asymmetric feature can also improve the performance of the network. In addition, he also wants to explore ways to make the memories of the network interact, just as they do in the human brain. Our memory is multifaceted and huge. We still have a lot to discover. "

Live on March 12 th, in the 27th round of Premier League, Tottenham beat Nottingham Forest 3-1 at home. With this victory, Tottenham consolidated its position in the top four of the standings. After the game, Sun Xingyi, who scored a goal, expressed his joy of winning through social media.

Sun Xingyi wrote: "It’s a beautiful day to get three goals and three points. Have a good rest and recover, and fight again next week. "

At 11pm on Saturday, March 18th, Beijing time, in the 28th round of Premier League, Tottenham Hotspur will challenge Southampton away.

The definition of AI artificial intelligence

In recent years, artificial intelligence can be said to be really hot, which has attracted the attention of many people and enterprises. It is a branch of computer science, which can imitate human intelligence to perform tasks, which is equivalent to having self-thinking consciousness. It is a new technical science used to research, develop, simulate, extend and expand the theoretical technology and application system of human intelligence. Since its appearance, artificial intelligence can be said to be increasingly mature and its application fields are increasing. Artificial intelligence can simulate the information process of human consciousness and thinking, and can deal with problems like human beings, even surpassing human beings.

Application of AI artificial intelligence in enterprises

Artificial intelligence can now be said to have become the first choice of major enterprises, and has run through all aspects of manufacturing such as design, production, management and service. Now artificial intelligence technology has been widely used in security, e-commerce, finance, medical care, education, personal assistant, autonomous driving and other fields. Artificial intelligence technology can automatically perform tasks, no longer need manual processes or tasks as in the past, improve enterprise performance and productivity, and can also exceed the human limit, give full play to the value of data and create huge benefits for enterprises.

At present, artificial intelligence has actually penetrated into all fields of our lives. In real life, almost everyone has access to AI artificial intelligence. From the aspects of food, clothing, housing and transportation to the new economy, until the meaning and value of life itself, artificial intelligence can be said to have brought rapid changes to various industries of human beings.