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Western Network News (Reporter Chen Jiaxin correspondent Yu Hai Yang Tao) On March 18, two Y172 and Y78 tourist trains loaded with more than 1,700 tourists left Xi ‘an Station, all the way south, heading for Zhanjiang and Taizhou respectively, to start a wonderful spring trip. This is the first time that China Railway Xi ‘an Bureau Group Co., Ltd. (referred to as Xi ‘an Railway Bureau for short) has opened a "silver hair" inter-provincial tourist train this year, and it is also the first time that Shaanxi Railway has opened two trips on the same day.

In 2024, Shaanxi Railway opened its first inter-provincial "Silver Hair" special train.

In order to help the "silver hair" economic growth and continuously enrich the spare time life of the elderly, Xi ‘an Railway Bureau has further expanded the tourism resources outside the province on the basis of the "silver hair" tourism special train from Xi ‘an to Tongchuan and Yaozhou in the early stage, and provided passenger transport products that meet the needs of the elderly. It is worth noting that the "Silver Hair" inter-provincial tourist train has launched different tourist routes based on the city’s scenic features and surrounding extended scenic spots on the basis of the original "car with people, night tour and scenic parking", and tourists can choose to play according to their preferences.

The special tourist train in Zhanjiang direction includes three tourist routes A, B and C, namely, witnessing Hong Kong, Zhuhai and Macao and traveling around South China, walking in Bama and living for 99 years, and panoramic view of Guangdong and southern Fujian customs, which can not only enjoy the scenery and explore the secrets, but also "buy in buy buy" to meet the rich travel needs of tourists to the maximum extent. The special tourist train in Taizhou direction includes many natural tourist attractions, such as Qianduo Scenic Area, Yingtaozhu Sakura Garden in Taihu Lake, Liyuan Garden, etc., so that tourists can enjoy flowers and boating in March in Yangchun and enjoy the beautiful scenery in spring.

Elderly tourists ride in an orderly manner.

In order to improve the travel experience of elderly tourists, Xi ‘an Railway Bureau has arranged a special person to provide bus guidance service, equipped with full-time tour guides, and divided teams according to carriages to achieve "one car and one guide", so that passengers can "have a good time and swim with confidence". In addition, the reporter learned that in March, Xi ‘an Railway Bureau will also run tourist trains in popular directions such as Xi ‘an to Huangshan and Enshi, which will help the cultural tourism market continue to heat up.

In the next step, Xi ‘an Railway Bureau will also dig deep into tourism resources and enrich tourism products according to the seasonal characteristics of spring, summer, autumn and winter. On the basis of running the original tourist trains in the province, it will select high-quality scenic spots in various places and carefully design inter-provincial tourist routes, so that traveling by train and by special train will become a new fashion for tourism.

"S is thin, M is beautiful, L is rotten, XL is rotten, and XXL is rotten." There is also a small line on the size table, "Only for girls aged 18-35, please consult customer service first according to your figure". Recently, a suggested size table for women’s wear in RT Mart shopping malls caused controversy. In response, its official Weibo statement said that improper wording in publicity materials would strengthen internal management to ensure that such incidents would not happen again.

To be honest, I thought it was a spoof at first. I can’t figure out how a publicity board full of malice towards women got green light all the way to the wall. Wen Wenjun, who thinks that playing homophonic terrier is very humorous, used just two lines to account for all the discrimination against women’s age, gender and figure, and there is really no one.

According to the clothing size, the female compatriots, who account for three fifths of all women, are all in the queue of "worse than bad". Also coincides with the "Double Eleven" period, so the IQ and EQ are not online, offending the gold owners and sisters who are the main force of "buy buy Buy". I’m afraid this business will really be "broken up".

It’s 2020, but the mainstream aesthetic of women still stays on the long legs with black silk. Every once in a while, there are female stars who are hung up on hot search because of their "expansion". It seems that women can only be equated with self-discipline if they are white, young and thin, chopsticks legs, A4 waist and paper people.

Even actress Gong Li, who was named "Gong Huang" by the domestic entertainment circle, was not spared. In August this year, a street photo of Gong Li and her husband caused a heated discussion among netizens. In the photo, Gong Huang wore a pink floral dress, and the whole person looked natural and graceful. However, in the netizen’s message, the words "the waist of the bucket is full of fat, and the unicorn arm is raised" are still very heartfelt.

Top female artists who are over 50 years old and internationally renowned have to be humiliated by their bodies. It also makes female compatriots realize that in the world ruled by deformed aesthetics, women never seem to escape the fate of being examined, evaluated and humiliated by their bodies.

A female star in the spotlight should take a scale with her when eating a meal. If you eat a little fat, you will be ridiculed by the whole network. Some people argue that the harshness of actresses’ figure has industry particularity, because they belong to the representatives of traffic and attention. You can think about it carefully. Is being fat or thin the only criterion to judge an artist’s quality? Don’t you see, how many red flowers are there, and there is a good skin, but I don’t know where the face value is higher than acting. After many years of debut, acting will only be silly and sweet.

Not only stars, but also ordinary women are kidnapped by the abnormal aesthetic of "one fat destroys everything", which is both a victim and a perpetrator. Under the single aesthetic effect of being thin and young, the standard of beauty becomes thin and thin again.

The popular "BM style" this summer, the once popular "A4 waist", "keeping goldfish on the clavicle" and "touching the navel with the backhand" all made the "fat girl" feel ashamed. In order to become beautiful, some girls go to great lengths to soak in Chili water, induce vomiting, and even shrink their stomachs to lose weight. Others are addicted to plastic surgery, leaving serious sequelae.

It’s easy to get rid of the brand of "XXL corresponding to’ broken’" in shopping malls, but it’s difficult to break the hidden rules of female body humiliation.

The beauty of women should not be confined to the standards defined by others. Beauty is a lot of money. Only by establishing healthier and diversified aesthetic standards can women have more self-confidence, not be shackled by the standard of "white and thin", accept the traces left by years and love their bodies, live high.

At this year’s "Talk Show Conference", a remark made by star agent Yang Naizhen is worth reflecting-"Girls should not be defined by standards, there is no standardized beauty and ugliness, just like yourself."

Let more women stop criticizing themselves for the eyes of strangers, have the right to health and beauty, and break the shackles of stereotypes and concepts. There is still a lot that the whole society needs to do. Let’s start with something like "XXL corresponds to’ breaking up’".

Source: The Paper.

Generative AI is getting more and more popular. Is this really a good business?

Recently, AI painting is on fire.

By inputting some words, AI can generate an image that matches the words in a few seconds. These images are wild, and some are even bizarre. For example, people have extra fingers on their hands, and their fingers bend unnaturally. Even, AI can generate some meaningless billboards and alphabets that humans have never seen before.

Although AI painting is outrageous, it has set off a wave of science and technology: the spring of generative AI has come.

David Beisel, a venture capitalist at NextView Ventures, said that in the past three months, the word "generative AI" once became a hot word. Moreover, the generative AI technology has developed rapidly and the market enthusiasm is so high that many people even quit their jobs to start a business in this field.

There is no doubt that AI has been in a prosperous stage in the past five years or so, but most of these past advances have to do with understanding the existing data-for example, the AI model has been able to quickly and efficiently identify whether there are only cats in your mobile phone photos. However, the generative AI model generates something completely new that has never been seen before. In other words, generative AI is not just about analyzing existing data, but creating.

Boris Dayma, founder of Craiyon generative AI, believes that "generative AI is not only creating old images, but also creating many new things, which are completely different from what we have seen before."

Sequoia Capital also said in a blog post on its website: "Generative AI has the potential to create trillions of dollars in economic value." Sequoia Capital predicts that generative AI may change all industries that require human beings to create original works, from games to advertising to the legal profession. It is worth mentioning that Sequoia Capital also pointed out in its blog post that this message was partly written by GPT-3 (GPT-3 is a generative AI capable of generating text).

Working principle of generative AI

In the past, deep learning technology was widely used to train the model on large data sets. When the program understands the relationships in these data, the model can be applied to actual scenes, such as identifying whether there is a dog in a picture or translating text, and so on.

The working principle of the image generator is to reverse this process. For example, instead of translating English into French, it translates English phrases into images. Specifically, it usually has two main parts, one is to process initial phrases, and the other is to convert data into images.

At first, generative AI was based on a method called GAN, that is, the generative adversarial network. In essence, this method is to make two artificial intelligence models compete with each other to better create images that meet the target.

At present, generative AI is usually based on Transformer, such as image generator DALL-E and so on. DALL-E was first created by OpenAI in 2021, and in 2022, OpenAI released DALL-E 2.

Christian Cantrell, a developer who focuses on generative AI, said: "With DALL-E 2, we can really cross uncanny valley." (The Valley of Terror theory is a hypothesis about human perception of robots and non-human objects. It was put forward by Japanese robot expert Masahiro Mori in 1970. )

Another commonly used AI-based image generator is Craiyon (formerly known as DALL-E Mini), where users can enter phrases in the browser and see the illustrations it generates within a few minutes.

According to Dayma, since its launch in July 2021, Craiyon has produced about 10 million unprecedented pictures every day, which adds up to 1 billion. Earlier this year, the use of Crayon soared, and Dayma also took Crayon as its full-time job. In addition, Dayma has created a Twitter account to post the weirdest and most creative pictures generated by Craiyon. For example, ketchup comes out of the tap on the Italian sink.

In addition, Stable Diffusion has also received wide attention. The project was released in August this year and has been open source on GitHub. Developers can run the project on computers, not just in the cloud or through programming interfaces. For example, Stable Diffusion can be integrated into Adobe Photoshop by plug-in, allowing users to generate backgrounds and other parts of images, and use layers and other Photoshop tools to operate in applications.

Cantrell, the developer of the plug-in, said, "I want to meet these creative professionals, so that they can introduce artificial intelligence into their creative work, instead of destroying their work."

It is understood that Cantrell has worked for Adobe for 20 years. After leaving in 2022, Cantrell focused on the direction of generative AI. Cantrell said that Stable Diffusion has been downloaded tens of thousands of times, and artists told him that they used this plug-in in many unexpected places, such as making Godzilla animation or creating pictures of Spider-Man.

Start-up companies get together

Some investors regard generative AI as a potentially transformative change, just like the early development of smart phones or the Internet. This kind of transformation has greatly expanded the potential market of this technology.

"Before that, artificial intelligence was not unprecedented. Before 2007, we were not without mobile devices, "said Beisel, a seed investor." But at this moment, everything came together. The final consumer can experience and see something different from before. "

Cantrell believes that machine learning is similar to a more basic technology: database. "Machine learning is a bit like a database, which opens up a whole new world for network applications. All the applications we have used in our life are built on the database. But no one cares about how the database works. People only know how to use it. "

Michael Dempsey, managing partner of Compound VC, said that in the past, it was "very rare" for laboratory technology to enter the mainstream, but at present, generative AI has attracted wide attention of venture capitalists. Nevertheless, he warned that the current generative AI may be in the "curious stage" near the peak of the hype cycle, and the companies established at this stage may fail because they don’t focus on the specific uses that enterprises or consumers are willing to pay for.

Others in the industry believe that startups that can apply new technologies such as generative AI today may challenge technology giants such as Google, Meta and Microsoft in the future.

At present, many companies applying generative AI technology have already received large amount of financing, and their valuations have also risen. For example, earlier this year, Hugging Face was valued at $2 billion after receiving investments including Lux Capital and Sequoia Capital; OpenAI has also received more than $1 billion from Microsoft and Khosla Ventures.

In addition, according to Forbes, Stability AI, the developer of Stable Diffusion, is negotiating with investment institutions to raise up to $1 billion in venture capital.

Cloud vendors and chip vendors will benefit.

Besides start-ups, cloud service providers such as Amazon, Microsoft and Google can also benefit from it, because generative AI may require a huge amount of computation.

Meta and Google have also taken action and started recruiting talents. In September of this year, Meta released an artificial intelligence application called "Make-A-Video", which can generate videos, which makes the generative AI technology a step further.

"This is a great progress," Zuckerberg, CEO of Meta, posted on his Facebook page. "It is much more difficult to generate videos than photos, because besides correctly generating each pixel, the system must also predict how they will change over time."

Recently, Google matched with Meta and released a program code called Phenaki, which can also convert text into video and generate several minutes of footage.

This craze may also boost chip manufacturers such as Nvidia, AMD and Intel, because the advanced graphics processors produced by these companies are ideal for training and deploying artificial intelligence models.

At a recent meeting, Huang Renxun, CEO of Nvidia, emphasized that generative AI is the key use of the company’s latest chip, and he said that this kind of program may "revolutionize communication" soon.

At present, there are not many uses of generative AI that can generate commercial benefits. Many exciting breakthroughs today come from free or low-cost experiments. For example, some writers have tried to use image generator to generate images for articles. An example of Nvidia is to use a model to generate new 3D images, including people, animals, vehicles or furniture, which can be filled into the virtual game world.

Ethical issues can not be ignored.

While generating AI excites the industry, the ethical issues it brings are also worthy of attention.

The first is employment. Compared with professional illustrators, generative AI is obviously cheaper. Therefore, generative AI is likely to rob artists, video producers and other people engaged in creative work of their "rice bowls".

In addition, there are complex problems in originality and ownership of the content created by generative AI.

Generated AI is trained on a large number of images. Therefore, it is still controversial whether the creator of the original image has copyright requirements for the generated new image.

Some time ago, an artist won an art competition in Colorado, and his winning image was created by a generative AI named MidJourney. After winning, the artist said in an interview that he selected one image from hundreds of images generated by himself and post-processed it in Photoshop.

It is worth mentioning that some images generated by Stable Diffusion are watermarked, which indicates that some of the original data sets are copyrighted. Previously, Getty Images (a picture trading company based in Seattle, USA) announced that it was forbidden for users to upload generated AI pictures to its picture library, because the company was worried that there might be some copyright problems in such pictures. .

With the improvement of image generation software, generative AI may also deceive users, make them believe false information, or display images or videos of events that never happened.

In addition, developers must also deal with the possibility that models trained on a large amount of data may have biases related to gender, race or culture contained in the data, which may cause the models to show such biases in their outputs.

Original link:

Source: AI Frontline, author: Kif Leswing. If there is any infringement, please contact to delete it.

In recent years, with the promotion of market demand, AGV handling robot has gradually matured. The continuous maturity of Beidou navigation and the continuous development and application of artificial intelligence in China have greatly improved the efficiency of AGV handling robots, provided great conditions for saving manpower, and made AGV handling robots gradually become the choice for automation upgrading of major factories in various industries.

In today’s era, with the continuous development of world trade, transnational logistics and logistics in various industries can’t do without handling. With the wide application of the Internet, big data and artificial intelligence, intelligent automated unmanned AGV handling robots are constantly developing and innovating, which promotes the continuous upgrading of China’s logistics industry and reforms the current industrial form.

With the growing manufacturing industry in China, China has introduced new measures to promote the development of intelligent industrial robots through the cooperation of Industrial Revolution 4.0 and enterprises, in order to enhance the strength of the manufacturing industry and cultivate competitive advantages. Unmanned AGV handling robot is one of them.

On November 30th, Beijing time, the World Table Tennis Championships had officially concluded. The final record of the National Table Tennis was to gain 4 gold medals and lost the men’s doubles championship.

Although there were no 5 gold medals, the results of Guoping are still very good, and it has also received praise from the official social media of the People’s Daily. However, Wang Manyu and Fan Zhendong, who played the best winner this time, did not be named. The only one who was named was Sun Yingsha who had lost the women’s singles championship. It turned out that she was the MVP of this year’s national table tennis, although she Did not win the most gold -content award.

《人民日报》亲自开口谈到了国乒这次的情况，并且晒出了九宫格图片，九宫格当中也是有国乒本次出征的大部分主力选手，包括孙颖莎，王曼昱，樊振东，梁靖崑，以及王楚钦和Lin Gaoyuan, Chen Meng and Wang Yidi and others.

They also accompanied: "The Houston World Table Tennis Championships ended in 2021, and the Chinese team ended with four gold results." Then he specifically designed Sun Yingsha: "Sun Yingsha World Table Tennis Championship harvested 2 gold and 1 silver. Each point is every point. Not easy, every player is good, hard, Chinese table tennis, pride for you! "

They recognized Sun Yingsha’s series of contributions, so they mentioned that Sun Yingsha’s two gold and one silver alone, which shows that Sun Yingsha is the real MVP. Wang Manyu did win, and completed the double championship and won the championship of the women’s singles and women’s doubles, but her performance was not as good as Sun Yingsha. Although Sun Yingsha said that the women’s singles won the runner -up, she was in the mixed doubles and her All the women’s double -line operations won the gold medal, and even Sun Yingsha was a third -line operation.

One day before the start of the final, Sun Yingsha even played 4 games in one day, a mixed doubles semi -final and a mixed doubles final, and there were two semi -finals of women’s singles and women’s doubles. Playing 4 games a day and remained full of victory. More importantly, Sun Yingsha defeated the Japanese team’s five giants Zhang Benzhi, Ito Makoto, Hayawa Miyu, Ishikawa Jiachun.

She defeated Hirano Miyu and Ishikawa Jiachun in the 1/4 finals of the Women’s Doubles, and defeated Ito Makoto and Haya Hina in the women’s doubles finals. Facing the Japanese five giants, people played 9 wins and 2 losses. The third -tier operations were better than Wang Manyu. She was the real MVP. Sun Yingsha.

What’s more?

Wang Manyu has only two gold medals, and the mixed doubles competition will go out early, but Sun Yingsha is 2 gold and 1 silver, so the "People’s Daily" will specifically recognize her. She is the real MVP. Only she has received such treatment. Liu Guoliang recognizes her. Normally, this is the treatment of the next Grand Slam and the National Table Tennis Demon King.

This may also be why Liu Guoliang and Li Yan will personally serve as Sun Yingsha’s coaches during this World Table Tennis Championships, find a problem for her, and give her a guest to feed her the ball. On the one hand, it is indeed because Sun Yingsha has no supervisor in charge, and on the other hand, it may be because Sun Yingsha has always been Liu Guoliang’s favorite first love general.