标签归档 西安耍耍

Zhang Linyan’s overseas famous scene! Hold up a trophy in both hands, Cao Meng Club: Awesome.

Recently, the China Women’s Football Team sent good news that talented teenager Zhang Linyan was selected as the Golden Glove Award in the Swiss Women’s Football Super League. Next is Zhang Linyan’s famous scene abroad. In a photo released recently, Zhang Linyan can be seen holding trophies in his left and right hands, and Grasshopper Football Club praised this in the essay.

When it comes to studying women’s football, fans may think of China’s top soccer player Shoupeng Wang, who played in French Ligue 1 for one season. After all, Shoupeng Wang contributed to the team’s growth in the 2018-2019 season, which is a bright spot. Yu Wai Shoupeng Wang also won the honor of Miss Asian Football by scoring 8 goals and 10 assists for the Parisian women’s football team. This is really great.

However, times have changed. Since Wang Shuai broke off her contract with Paris after the French Women’s World Cup and returned to China, it was not until the Indian Women’s Asian Cup was held that there was no obstacle for China women’s football team to study abroad. Paddy fields At the beginning of last year, the overseas development of China women’s football team, which returned to the top of Asia after 16 years, set off another wave of upsurge.

From Zhang Linyan, Li Mengwen, Yang Leina, Li Jiayue, and even Shoupeng Wang, who started her overseas trip again, the number of China women’s football team studying abroad surged to more than 10 in one year. I can’t figure it out!

Among these more than 10 foreign players, some have gained a firm foothold abroad. For example, Shen Mengyu and Shen Menglu, China teenagers who currently play for the Su Chao Celtic women’s football team, have made great contributions. In particular, Shen Menglou, who joined the Celtic women’s football team this season, has a great ability to break through from the sideline to the last line of the frontcourt, and often beats her opponents without hesitation.

Another talent that can’t be ignored is Zhang Linyan, a talented teenager from China who is now shining brilliantly on the Swiss stage. He scored 10 goals, sent 9 assists and scored 2 goals. In addition, Zhang Linyan’s two high-quality long-range goals so far have also been rated as the best goals in the second round of the league. Rookie Zhang Linyan is a special presence on the Swiss stage!

Recently, with the good news that Zhang Linyan was selected as the Golden Glove Award in the Swiss Women’s Super League, FIFA also affirmed and praised Zhang Linyan, saying that "the future is limitless!"

Zhang Linyi’s overseas famous scene was exposed, and Grasshopper Football Club recently took a photo of Zhang Linyi’s celebration. It is suspected that Zhang Linyi looks more relaxed than Zhang Linyi. In this regard, grasshopper football club also wrote: the best left-handed player in the league and the best right-handed 11 in the league! Zhang Linyi is amazing!

In addition, in the second round of the quarter-finals of the Swiss Women’s Super Play-offs, Zhang Linyi scored two goals in a row, forcibly avoiding the goalkeeper’s push and no goal, and finally helping her team win. Cao Meng girls advanced to the semi-finals with a score of 4-0.

It can be seen that at present, Zhang Linyan is hot, and in the next group match of the 2023 Women’s World Cup, Zhang Linyan may once again become the secret weapon of China women’s football coach Shui Qingxia! What do your fans say about this?

Mr. Laundry helped Haier 2023 Qingdao Marathon, and the official designated care brand strength stole the show.

On April 22nd, Haier 2023 Qingdao Marathon officially started. As the official designated care brand of Haier 2023 Qingdao Marathon, Mr. Laundry is committed to providing runners with a more comfortable and secure care experience, being a clothing care housekeeper around you, and helping every runner to go to the mountains and seas.

The new model meets old friends, and Mr. Laundry is praised by users.

Focusing on the needs of users, the care services provided by Mr. Laundry are not limited to sweatshirts and sports shoes on runners, but also include daily clothes, special fabrics such as silk and cashmere. Mr. Laundry can solve the cleaning, nursing and treatment of various fabrics in life. Mr. Laundry’s innovative business model of "1+N+ Ecology" changes the single service of traditional laundries, and provides users with clothes life cycle solutions for washing, protecting, storing, riding, purchasing and collecting clothes.

Mr. Laundry also met many old friends at this Qingma scene. "It’s the first time to run a green horse, but I’ve been an old user for more than ten years at the laundry man & Jieshen Store at the entrance of my community!" The marathon runner, Ms. Song, who lives in Taizhou Road, said. Since 2021, Mr. Laundry set up a joint venture with Qingdao local brand Jieshen for 30 years, the upgrade speed and achievements of the new-type eco-care store have been well received by users in the island city: "At first, it was washing clothes, and then the store had eco-products, as well as home cleaning and home appliance cleaning services. Now the store can even buy Haier household appliances directly, which really provided us with great convenience. I ran into the new track with Mr. Laundry & Jieshen."

Professional runners prefer professional care, and Mr. Laundry is reliable.

In 2023, it was the fifth year that Haier and Tsing Ma walked hand in hand, and it was also the second time that Mr. Laundry made his debut at Tsing Ma Circuit. As a great achievement of Haier’s transformation on the eco-brand track, Mr. Laundry, under the guidance of eco-brand strategy, relies on the platform-leading IOT technology and ecological resources, and establishes a caring ecology trusted and recognized by consumers with a full-link caring solution, which helps the caring industry to develop towards the goal of being more standardized, orderly, green and environmentally friendly, and upgrading services. As of March this year, Mr. Laundry has covered 1,528 network contacts in 30 provinces across the country, built 12 operation centers, 3 self-owned 6S standard central laundry factories and 37 cooperative factories, and the rapid development is backed by the recognition of national users and the guarantee of professional care ability.

"I usually run a lot, and my shoes are dirty and worn quickly. Many of our runners have the need for professional care of running shoes. They should be clean, but don’t brush them too violently." Mr. Li, who specially came to Qingdao from other places to participate in the marathon, said that he was very interested in Mr. Laundry’s treatment mode of "washing, drying, ironing, sterilization and disinfection" and the exclusive care service mode of "one customer, one cylinder and one disinfection".

The innovative care mode and sincere caring service also give Mr. Laundry enough confidence to be qualified as the official designated care brand of Haier 2023 Qingdao Marathon. It is with this confidence and sense of responsibility that Mr. Laundry will base himself on the care needs of runners, bring high-quality and professional care services and bring more surprises to runners!

ChatGPT invested $180 million in anti-aging company, trying to increase the average life expectancy of human beings by 10 years.

In mid-2022, a startup company named Retro Biosciences came into public view, and it announced that it had obtained $180 million for a bold task: increasing the average life expectancy of human beings by 10 years. Just a short year ago, the company was headquartered in a warehouse near San Francisco. There were many containers on the concrete floor, where scientists worked and did experiments.

Retro said that as part of the "radical task", it would "stimulate the speed" and "tighten the feedback loop" in order to stop aging or even reverse it. But it is vague about the source of its funds. According to reports, it was still a "mysterious" startup, and its investors were anonymous.

Now MIT Science and Technology Review can reveal that all the investment was provided by Sam Altman, a 37-year-old senior entrepreneur and CEO of OpenAI.

Altman spent almost all his time on OpenAI, an artificial intelligence company, whose chat bots and electronic art programs have always been unique in the field of science and technology because of their comparable human capabilities.

But altman’s money is another matter. He said that he had emptied his bank account to fund two other very different but equally ambitious goals: pursuing unlimited energy and prolonging life.

He said in 2021 that one of the projects is Helion Energy, a nuclear fusion power generation startup, and he has invested more than 375 million US dollars in the company. The other is Retro, who invested a total of $180 million in the same year.

"This is a lot of money. I basically invested all my current assets in these two companies, "altman said.

Altman’s investment in Retro has never been disclosed before. This is one of the largest personal investments ever made by a startup company seeking to increase human life span.

Altman has always been a well-known figure in Silicon Valley. He used to run Y Combinator, a business incubator in San Francisco, but with the release of ChatGPT by OpenAI and its popularity all over the world, his name has been known all over the world.

It is reported that the breakthrough based on artificial intelligence technology has turned this seven-year-old company into a "member of the technology giant club". Microsoft promised to invest $10 billion in it, and altman, who has 1.5 million Twitter followers, is consolidating his status as a technology tycoon, and his invention will definitely change the society profoundly.

Altman is not on Forbes’ list of billionaires, but he is still very rich. His extensive investments include early shares in companies such as Stripe and Airbnb.

He said: "In the biggest bull market in history, I have always been an investor in technology stocks at an early stage."

Hard core technology

Now, in his words, he has invested his capital in a level that is "orders of magnitude far beyond the Y Combinator era". He has been betting these funds on several technical fields that he thinks will have the greatest positive impact on mankind: artificial intelligence, energy and anti-aging biotechnology.

Helion, headquartered in Everett, Washington, is eager to conquer atoms to create an "infinite clean energy". Joe Betts-LaCroix, CEO and co-founder of Retro, said that the company’s goal is to "prolong human life by discovering how to rejuvenate our bodies".

All these companies, including OpenAI, are what altman called "hard-core" start-ups-companies that need a lot of investment to make scientific progress and master difficult technologies. This is a shift for altman, from supporting fast-growing applications and companies in the era of Web 2.0 prosperity to supporting scientists engaged in long-term research.

Hard science companies need higher capital costs, but altman believes that their bigger goals are more likely to attract talented engineers. He recently quoted Daniel Burnham, a Victorian architect, on Twitter: "Don’t make small plans, they don’t have the magic to stimulate the blood flow."

Although nuclear fusion and life extension may be the most incredible projects (some researchers even think it’s daydreaming), few people believed that artificial intelligence would pass the medical school exam in 2023, just like ChatGPT, a chat robot of OpenAI, did this year.

Altman said that in fact, hard-core startups may have a better chance of success than simple companies. This is because there may be a thousand start-ups developing photo sharing applications, but only a few companies can build experimental nuclear fusion reactors.

enlarge the scale

Altman said that the areas he has been betting on are those where he can see some potential trends, so that technologies that seem impossible today are expected to spread quickly. This is what happened to OpenAI, which was established in 2015.

The company focuses on a machine learning technology called transformer and has steadily expanded its scale. In the process of creating its products, it only spent more than $1 billion on purchasing computing power.

The resulting model (program) can create pictures and complex text paragraphs in a few seconds, even close to human works. "We have an algorithm that we can learn, and as it performs more operations, it seems that it can be further extended," altman said.

As for the realization of controlled nuclear fusion, the trend that altman sees is bigger and stronger magnets. In order to fix the 100 million-degree thermal plasma vortex in the reactor core, we need very powerful magnets. Altman said that he initially invested about $10 million in Helion, but later increased the stakes because he was "very confident".

Although the problem of nuclear fusion has not been solved (reactors still use more energy than they produce), he has been urging Helion to list how to build several reactors every day-if nuclear fusion wants to replace coal and natural gas as the main power source, increasing production capacity is a necessary part.

"That’s what I’ve learned from my career. Scale it up and see what happens, "altman said.

Young blood

About eight years ago, altman became interested in the so-called "young blood" research. In these studies, scientists stitched young mice and old mice together so that they shared a blood system. Surprisingly, these old mice seem to have partially recovered their vitality.

This is a terrible experiment, but to some extent, it is very simple. Altman, then the head of Y Combinator incubator, asked his staff to investigate what progress anti-aging scientists were making.

He said: "It feels like this is a result I didn’t expect, and that is another result I didn’t expect. This means that something is happening quietly … Maybe there is a secret hidden here, and it is easier to find than we thought. "

In 2018, Y Combinator opened a special course for biotech companies, inviting companies with "radical anti-aging plans" to apply, but soon after, altman left Y Combinator to concentrate on his increasingly busy work in OpenAI.

By 2020, some researchers in California showed that they could achieve the effect similar to obtaining "young blood" by replacing the plasma of old mice with saline and albumin. This shows that the real problem lies in the "aging blood". Just by diluting it (and the toxins in it), we may be one step closer to drugs that resist or even cure aging.

Bates Lacroiva recalled, "Sam called me and said,’ My God, have you seen this plasma intervention paper?’ That’s not what I said, but the general idea is similar. Bates Lacroiva was a part-time biotechnology partner of Y Combinator and now leads a gathering of longevity lovers.

Bates Lacroix agrees that it’s cool and some companies should pursue it. "How about I fund you to do it?" Altman said.

But Bates Lacroix was already studying a different idea. He just finished an early joint venture project, a company called Vium. The company tried to "digitize" the rat population and added cameras and artificial intelligence to monitor the experiment. Vium has raised more than 50 million dollars, but it has not been successful. That year, it was merged into another biotechnology company, which bought its assets for $2.6 million.

Bates Lacroiva’s new plan is to set up a company to pursue cell reprogramming-another hot area involving the technology of making cells younger through genetic engineering. He has collaborated with Chinese scholar Ding Sheng Ding who has developed a new method of reprogramming cells. Bates-Lacroiva also believes that the process that cells use to process toxins (called autophagy) may be a direction worth exploring.

Altman’s answer is: "Why don’t you do all these things?"

"I will. I will set up a multi-project company around the biology of aging, which is a big project, "Bates Lacroiva recalled." Then he said,’ Great, let’s do it.’ "

The new company needs a lot of money-enough to keep it going for at least seven or eight years while conducting research, encountering setbacks and overcoming them. And it needs to finish the work quickly. The expenses of many biotech startups are decided by the board of directors, but in Retro, Bates-Lacroiva has all the decision-making power. "There is no bureaucracy here," he said. "I am a bureaucracy."

For example, Bates Lacroix did not wait for scarce laboratory space, but filled a warehouse with 40 prefabricated containers and used them as laboratories. This means that he can quickly carry out the first experiment, including repeating some plasma work on mice. Bates Lacroiva presented some preliminary results at a conference in 2022, saying that mice undergoing plasma exchange seemed to become stronger.

Mysterious start-up company

Retro employees submit experimental memos every week to record which work is progressing smoothly and which work is frustrated. Bates Lacroix said that he usually calls altman on weekends to tell him the highlights, and altman sometimes makes suggestions.

However, up to now, things related to this company in altman have been kept secret. This is a decision made by Bates Lacroiva, who wants Retro to open its own path. Altman agreed, because he tried to be "very careful not to hide the brilliance of the CEOs I worked with."

When Bates Lacroiva officially disclosed the company information in mid-2022, in a series of tweets, he still didn’t disclose altman’s name, but said that he was "lucky to get the initial capital of 180 million dollars", which was enough to "safely" support the company to run until 2030, when it planned to realize "the first proof of concept to extend life".

People familiar with the company’s thinking say it’s also because altman’s name may be a distraction. Of course, he is famous, but this reason may be wrong. Although altman’s position in the entrepreneurial world is unparalleled, his reputation is almost nonexistent in the biological laboratory and pharmaceutical industry, and a person’s scientific record is the most important in this circle.

"I’ve never heard of the name Sam altman," said Irina Conboy, a researcher at the University of California, Berkeley, although her work on plasma has amazed Sam. But she is really more familiar with Bates Lacroiva and his research on longevity.

"100 million is just a number, not a breakthrough," Comboy said.

Public discontent

Every technology also has risks. As far as artificial intelligence is concerned, it is chat bots that may spread lies and false information. As for reversing the age, if it is really effective, one of the risks often mentioned is public dissatisfaction, especially if it will be offered to the rich like altman first.

The basis of this idea is that if altman’s financial support is magnified conspicuously, Retro may become a victim and be classified as a vanity project misled by billionaires in pursuit of immortality.

We have reason to be so worried. In 2016, Peter Thiel, one of altman’s mentors, was ridiculed by the media as a "vampire looking for young victims" after he expressed interest in receiving anti-aging blood transfusion treatment. A year later, HBO’s spoof program "Silicon Valley" released an episode called "Blood Donation Boy". In the film, the CEO of a fictional technology company is in a meeting, and his vein is connected with that of a handsome young man called "blood transfusion assistant".

"We really don’t want to see those old billionaires pay for plasma donors," Bates Lacroiva said in the summer of 2022. Instead, he said, the company hopes to find more "credible" interventions, such as drugs that mimic the effect of blood replacement, for millions of people to use.

"We don’t want to treat billionaires with prejudice. I’m just saying that we don’t want to see treatments that are super expensive, awkward and difficult to implement. "

Altman said that his personal anti-aging methods include "trying to eat healthily, exercise and get enough sleep" and taking metformin. Metformin is a diabetes drug, but it is very popular in Silicon Valley because it may make people without diabetes healthier. "I hope I can use Retro therapy one day!" Altman said.

OpenAI in the field of anti-aging

Anti-aging research seems to be a promising investment field. One reason is that it has not received much funds in the past, at least relative to the scale of the research project. According to the data of the Center for Medicare and Medicaid Services in the United States-about $4.3 trillion, accounting for nearly one-fifth of the GDP of the United States-it is used for medical care, most of which is used to treat the elderly. Longevity researchers generally believe that if a drug can delay aging, it may help delay a series of serious diseases, including cancer and heart disease.

Bates Lacroiva said that in order to have the widest impact, he is looking for interventions that can scale up and affect "millions or billions" of people.

However, when Retro lifted the veil, the research on the problem of old age was becoming very popular. The Saudi government said that it will provide 1 billion dollars for related research every year, and an organization called Altos Laboratory has been established, claiming that it has 3 billion dollars. Famous investors are also involved, such as Yuri Milner, and even Jeff Bezos is rumored.

Compared with these investments, altman’s bet looks relatively small, even making Retro look insignificant. One of its projects is to test the rejuvenation technology on T cells, which are part of the immune system and play an important role in fighting infection and avoiding cancer.

These cells are particularly useful because they can be removed, rejuvenated in the laboratory and sent back to the patient. But other startups have similar goals, including Altos and NewLimit, a biotechnology company founded by cryptocurrency billionaire Brian Armstrong in 2022.

The competition for researchers is particularly fierce. Altos persuaded 24 university professors to leave their jobs and offered millions of dollars in salary and other benefits, which absorbed almost half of the top scientists in the field of reprogramming.

But Bates Lacroix also managed to attract some top talents. In 2022, he flew to Switzerland to visit Alejandro Ocampo, a researcher at Lausanne University. In 2016, Ocampo was the first scholar to study the rejuvenation of mice, and his research helped trigger the current craze for longevity investment.

"I’m glad to see Joe coming to see me in person," Ocampo said. He was so grateful for the attention he received that he later agreed to become a paid consultant for the company.

He also said that Bates Lacroiva is willing to accept his view that the age reversal of human beings will not happen in the short term. Some of Ocampo’s recent experiments explored why the reprogramming method he studied would kill some mice instead of making them live longer.

Ocampo said: "Some optimists think that we will achieve eternal life in 10 years, while some pessimists say that we will never prolong human life. As a realist, my personal opinion is that many people are choosing simple and fast experiments, but if we do the same, I don’t think we will go very far. Because this will not be an easy road. "

Ocampo said that Bates Lacroix convinced him that Retro was willing to explore these basic problems with its own funds. "They want to promote the development of science, not just pursue short-term goals," he said. "Other companies want to find an application scenario immediately, but they are willing to spend time exploring basic science."

Bates Lacroiva did not discuss Retro’s funding sources with Ocampo. Ocampo said that he didn’t know that altman was funding the startup until he was interviewed by MIT Science and Technology Review.

In an interview, altman didn’t worry about the competition from other companies. He believes that most biotechnology companies are accustomed to slow action and are usually "not good at management". He believes that the research on longevity needs an "OpenAI-style effort".

Altman said: "Retro’s main task is to become a truly excellent biological start-up company, because this is a rare thing. It combines great science with the resources of big companies in the spirit of a startup company. This is our current project. "

Original text:

The brand-new Chongqing team appeared in China football! The warm-up match defeated the newly promoted Super League, which made the fans sit up and take notice.

A few days ago, Chongqing football ushered in a brand-new professional league team, which is Chongqing Tonglianglong, which gathered many old Lifan generals. After the dissolution of the Chongqing team, Chongqing Tonglianglong began to play in the China Champions League and began to carry the banner of reviving Chongqing football. Chongqing Tonglianglong performed well in the Champions League last season and got the qualification of Chong B. After Chongqing Tongliang Dragon rushed to China B, it filled the gap that there was no professional team in Chongqing football.

Chongqing lifan used to be a strong football team in China, and it also performed well in the Super League, and once beat Evergrande. Chongqing team has also trained international players like Zhang Chiming and Feng Jin. Unfortunately, before the Super League started last season, the team once again encountered the crisis of unpaid wages. Finally, after comprehensive consideration, Chongqing team decided to quit professional football. Chongqing team quit professional football, which made Chongqing football lose its professional team.

At the critical moment, Chongqing Tonglianglong stood up, started to play in the China Champions League in a team, and recruited the Chongqing football flag Wu Qing. Chongqing Tongliang Dragon has now rushed to China B, attracting the attention of a group of old Lifan generals. Chongqing Tonglianglong can consider introducing Liu Huan whose contract with Guoan expired. After leaving Guoan, Liu Huan went to Dalian for trial training.

Whether Liu Huan can stay in Dalian is a huge unknown. Because Liu Huan’s Dalian team is in a precarious state. Dalian team doesn’t even have the qualification to introduce new aid. If this problem is not solved in the future, Liu Huan will not be able to complete the registration. Therefore, Liu Huan can consider returning to Chongqing. At the same time, Chongqing Tonglianglong chose to play a warm-up match in order to test the training results during this period.

Chongqing Tonglianglong chose to play with Qingdao Manatee, a new Chinese Super League army. Originally, fans thought that Chongqing team would be played by Manatee. Unexpectedly, the Chongqing team was very tenacious in the game and finally defeated its opponent 1-0. The strong play of Chongqing team in the warm-up match made the fans see the hope of rushing to armour. I look forward to Chongqing Tonglianglong’s steady and steady progress in the Chinese B League and achieving the goal of rushing to the first division in the new season.

Laundry technology sharing: can ChatGPT make autonomous driving faster?

Recently, the hottest topic in the science and technology circle is "ChatGPT". However, ChatGPT is only an external manifestation, and what deserves more attention is the development of AI technology behind it and its future application.

Some people even describe the changes brought by ChatGPT optimistically: Before ChatGPT, AI was only a module of existing scene products at most. Then, after ChatGPT, AI will redefine the product framework of existing scenarios.

Whether it is as optimists say remains to be seen, but whether autonomous driving, as one of the important scenes of AI landing, will have further development in this wave has still aroused many people’s discussion.

Some people think that autonomous driving needs more graphics, images and data processing ability, requires higher image algorithm, and has little correlation with natural language processing ability. It is not possible to realize autonomous driving with ChatGPT’s ability at present.

Of course, some people think that the appearance of ChatGPT shows us a possibility, that is, trained AI will make high-level autonomous driving expected to appear in a few years.

Why does the progress of AI technology make people pay attention to whether autonomous driving is affected?

Observing the development history of autonomous driving, it is not difficult to find that every major breakthrough of autonomous driving is synchronized with the development of AI technology.

We know that,AI is actually imitating the brain neural network and learning some very humanized skills by analyzing a large amount of data.In 1980s, the first practical application of neural network happened in the field of automatic driving.

In 1987, researchers at Carnegie Mellon Artificial Intelligence Laboratory tried to make a truck that could drive automatically. They manually write codes for all driving behaviors and write as detailed instructions as possible for various situations encountered by trucks on the road, so as to make the vehicles run automatically. But unfortunately, this way can only make the car achieve a speed of several inches per second.

Manual code writing failed, and another doctoral student named Dean pomerleau chose another way: neural network.

He named his system ALVINN. After adopting this system, trucks use the images taken by the roof camera to track what drivers are doing, so as to observe how to learn to drive on the road. In 1991, ALVINN drove from Pittsburgh to Erie, Pennsylvania at a speed of nearly 60 miles per hour.

However, a more direct and broader impact occurred in 2012.

Jeff Hinton, a professor at the University of Toronto, and two of his students, Alex Krzyzewski and Ilya Satsky, won the first prize in the ImageNet image recognition competition, and published a paper introducing the algorithm AlexNet. This paper is not only the turning point of artificial intelligence, but also the turning point of global technology industry.

As the key technology of autonomous driving, target detection and image recognition are highly benefited from the breakthrough of computer vision algorithm. Therefore, with the recognition accuracy of Li Feifei team, director of Stanford Artificial Intelligence Laboratory, surpassing humans for the first time on ImageNet open data set in 2015, autonomous driving, as one of the most important landing scenes of AI, has also entered the fast lane of development.

So, will the appearance of ChatGPT become the Milestone of autonomous driving again?

Generally speaking, AI can be divided into three parts: voice, vision and natural language understanding.The last wave of AI was mainly based on the breakthrough of visual image recognition technology, and this time ChatGPT is a natural language processing technology based on GPT-3 model, which can effectively simulate human language understanding ability, thus helping people better understand and analyze natural language text data.

When we want to discuss what impact ChatGPT will have on autopilot, we think that we should first find out whether autopilot here refers to mass-produced low-level autopilot (assisted driving) or high-level L4 autopilot. Secondly, does ChatGPT refer to a language model or a more generalized generation model?

From the perspective of natural language understanding, ChatGPT has a more direct impact on human-computer interaction in the assisted driving part, but it may not have a great impact on L4-level automatic driving.

Cui Dongshu, secretary-general of the Federation, also wrote in his WeChat WeChat official account that the innovation of human-computer interaction and intelligent cockpit system is very strong, especially the human-computer interaction ability of domestic car companies is very strong. Only China enterprises can understand Chinese more deeply. With the empowerment of the bottom layer in the future, the domestic automobile industry will have more good human-computer interaction effects at the application level.

For example, by using ChatGPT, the vehicle can interact with the driver by voice or text, and provide the driver with real-time feedback on vehicle status and driving information.

Before this, although a large number of in-vehicle interactive systems have appeared, the pain point of the industry mainly focuses on the "understanding" part, and most of the in-vehicle voice interactive systems are not intelligent in "understanding", resulting in a single function and command word of the whole system. ChatGPT’s explosion made the market see the hope of solution.

However, Cui Dongshu, secretary-general of the Federation, also said that,Electrification is the core of new energy vehicles, and intelligence is just icing on the cake. In the future, the core competitiveness of car companies will still be to build electric vehicles, and at the same time make full use of intelligence such as ChatGPT to empower the development of the automobile industry.

Of course, whether it is the core or not, it is not enough to have a technological breakthrough if you want to get on ChatGPT. An AI industry person told Titanium Media that "there are still cost issues, including the use cost, cloud service cost and targeted training cost."

However, from a broader generative model, the generative model with big data and large parameters will help to achieve a higher level of autonomous driving.

He Xiang, a data intelligence scientist at Mimo Zhixing, said in an interview with Titanium Media App that the vehicle-side capabilities mainly include two categories: perception and cognition. The perception ability really relies mainly on image technology, while the cognitive ability relies more on similar generation technology of ChatGPT.

That is to say,ChatGPT’s revolutionary significance lies in: letting AI model enter the era of knowledge and reasoning. At present, the biggest shortcoming of autonomous driving lies in the lack of sufficient intelligence in decision-making planning.

ChatGPT uses a training method called "Human Feedback Reinforcement Learning (RLHF)", and He Xiang, a data intelligence scientist at Mimo Zhixing, explained to Titanium Media APP.GPT is a large-scale universal pre-training language model. GPT1, GPT 2 and GPT 3 mainly improve the parameter scale, while ChatGPT mainly introduces human feedback data for reinforcement learning.

The introduction of this method can ensure the minimum output of useless, distorted or biased information according to human feedback in training.

It happens that there is also a kind of automatic driving decision algorithm called imitation learning, which is to let the machine learn how human drivers do it in different scenarios.

Generally speaking, every takeover by a human driver is an artificial feedback to the autonomous driving strategy; This takeover data can be simply used as a negative sample, which is a record that the autopilot decision is corrected. At the same time, it can also be used as a positive sample to improve cognitive decision-making

"The big model of big data and big parameters can learn more potential knowledge, including different environments and different scenarios, which is equivalent to learning a lot of common sense of autonomous driving. This common sense is very important for autonomous driving decisions." He Xiang, a data intelligence scientist at the end of the year, told Titanium Media App.

That is to say,In the process of autonomous driving research and development, the idea of human feedback reinforcement learning can be used to train a model to verify and evaluate the output of the machine model, so that it can make continuous progress and finally reach the driving level of human beings.

Therefore, it can be said that the improvement of basic ability has brought about the expansion of imagination and applicable scenarios. However, at this stage, we still can’t accurately judge how much change the big model represented by ChatGPT will bring to autonomous driving. An industry person told Titanium Media App that the excellent generalization ability trained by the big model may make there no corner case in the world.

Corner case refers to a small probability event that may occur during driving, but the frequency is extremely low. Although it is rarely encountered at ordinary times, it is likely to lead to a fatal traffic accident when encountering a corner case that cannot make a decision for an autonomous driving system.

The emergence of ChatGPT has made the industry realize that it is possible to gain a higher level of autonomous driving technology by constantly accumulating kilometers and running like this.

In fact, before this, both foreign Tesla and domestic Tucki, Baidu and Mimo Zhixing were already exploring the route of "big model".

In 2020, Tesla announced that it would introduce a large model based on deep neural network into its autonomous driving, and now it has realized a large-scale public beta of pure visual FSD Beta; Tucki expressed the viewpoint of using large models to get through the whole scene of XNGP on the 1024 Science and Technology Day in 2022. Baidu Apollo believes that the Wenxin model will be the core driving force of the elevator’s automatic driving ability.

As early as 2021, Mimo Zhixing announced that it would improve its data processing ability with the help of a large model. On February 17th this year, Mimo Zhixing officially upgraded the large model of human driving self-monitoring cognition to "DriveGPT", which will continue to introduce large-scale real takeover data, and continuously improve the evaluation effect through intensive learning of human driving data feedback. At the same time, it also uses DriveGPT as a cloud evaluation model to evaluate the driving effect of small models at the vehicle end.

However,The development of high-level self-driving cars is a complex multidisciplinary field, involving a wide range of technical and regulatory challenges. The progress of artificial intelligence technology can bring some impetus, but this is not a short-term problem.

It is reported that GPT3.0 involves 170 billion parameters, with more than 300 GB of memory, and the training process costs more than 12 million US dollars. The above-mentioned industry insiders said that the autopilot algorithm is to run in the car. Can such a large model be deployed to the car? How much computing power does it need to support? In addition, autonomous driving can not be completed by repetitive and simple road data stacking, so how to ensure a large amount of data is also a key issue.

The article is reproduced from the titanium media. The opinions in the article are only for sharing and communication, and do not represent the position of WeChat official account. If copyright issues are involved, please let us know and we will deal with them in time.

About the laundry list technology company

Laundry Technology Co., Ltd. is the world’s leading spatio-temporal intelligent big data service company and the leading location data and industry application solution provider in China. Relying on self-developed patented technology, based on high-precision maps and multi-source spatio-temporal intelligent big data, we will establish city-level and industry-level holographic spatio-temporal digital twin systems, and actively serve smart transportation (autonomous driving, smart highway, vehicle-road coordination), natural resource asset management (carbon neutral and environmental protection remote sensing data service), LBS smart industry applications (mobile Internet local business location service, smart travel, smart logistics, new infrastructure, smart city, emergency rescue) and other fields. For more information, please search for "laundry list technology" and visit the company website.

Is PS going to be laid off? The accuracy rate is 99%, supporting multiple faces to intelligently identify face-lifting and skin-grinding beauty …

This is a brand new AI intelligent portrait processing software.

One-button AI face-lifting

Simple and practical

The software analyzes each face through machine learning.

And add appropriate amount of decoration to skin, eyes and mouth.

You can easily get professional results.

For example:Smooth skin,Reduce luster,Remove defects,

Carve a faceandWhitening teethWait a minute.

The previous push was the 2022 version.

Yueyue brings the latest version of 2023 today.

ON1 Portrait AI 2023 (17.0)

(New interface)

Pay attention to and privately believe that the headline number of Yueyue replies "Want"

Follow the prompts to get it for free.

Better portrait editor

With ON1 Portrait AI, it can be perfectly decorated with just one click. It uses machine learning to find every face in a photo and automatically make them look great. It analyzes every face, and adds some modifications to the skin, eyes and mouth, providing you with professional effects immediately.

You can also manually adjust the facial details through the detailed parameter slider.

For example:Smooth skin, reduce luster, remove blemishes, carve face and whiten teeth, etc.

It can run independently as software and can also be used as PS filter.

supportPS2017-2023 latest edition Chinese sinicization

Support win and mac (win system version 17.0, mac system version 17.1)

(Compatible with win10 or above and MAC10.15 or above)

2023 new features

  • Mask artificial intelligence

Mask AI uses the most advanced machine learning to segment photos and identify objects and regions such as people and animals.

Say goodbye to the tedious brushing. Mask AI uses the most advanced machine learning to segment photos and identify objects such as people and animals, as well as areas such as sky, mountains, trees, water and ground. When masking layers, effects or local adjustments, you only need to select a theme or area from the list. Mask AI will immediately create beautiful masks. You can even select an area to which you want to apply a filter or adjustment when adding an area, so that you can easily get the required adjustment.

  • Content-aware clipping

Crop and flatten photos and expand the photo canvas and fill new edges with realistic details.

If you have ever had to crop or flatten a photo and lost important details near the edge, the new content-aware cropping will be a lifesaver. It can expand the photo canvas and fill new edges with realistic details.

  • Improved Content Perception Perfect Eraser

Perfect Eraser is a perfect tool to eliminate large interference, which has been improved by more accurate algorithm and runs faster on modern computers.

  • Full screen preset preview

If you are tired of viewing thumbnails to find the right preset, there is a new way to view them in full screen on your photos.

Get flawless, natural skin

In addition, this software is simple to operate and easy to use. It can be used alone or as a plug-in for Photoshop, Lightroom, Affinity Photo, Capture One and other tools. Moreover, you don’t need the user’s superb P-drawing skills, you just need to automatically find each face in the photo according to your preferences, analyze it, and add a proper amount of decoration, which is very suitable for proofing the photo before delivery.

Software introduction

(moving picture display)

(moving picture display)

Decorate tools and control what you need

The retouching options are simply amazing, including smoothing skin, reducing luster, removing blemishes, carving face and whitening teeth.

(moving picture display)

Let AI work hard for you

Automatically find each face in the photo according to your preference, analyze it, and add an appropriate number of embellishments.

Adjust everyone separately

Each face in the photo has its own controls and adjustments.

For example, you can use different settings for the bride and groom in wedding photos.

Your editing is nondestructive.

All adjustments and edits you make are non-destructive.

You can re-edit them later, and the original photos will not be changed.

You control how to edit.

Everything is automatic, but you also have complete manual control. You can manually adjust the position of eyes and mouth, paint to improve the skin mask and use a brush to remove stubborn spots.

Improve facial shape and lighting

Brighten or reshape the face by adding fill light to make the chin thinner or balance the eye size.

To correct common mistakes in lens selection and lighting.

(moving picture display)

Use the power of frequency division

Skin modification uses frequency separation to maintain natural skin texture,

At the same time, it reduces the color and tone change of the whole skin.

It produces flawless but natural-looking skin.

(moving picture display)

Easily remove flaws

Small defects can be automatically reduced,

Using the built-in content-aware eraser and clone stamp can remove big flaws.

Presets that suit your style

Easily create your own preset to define.

Your grooming style.

Whitening teeth

Teeth and lips will also be automatically detected. You can easily brighten your smile and adjust the color and saturation of your lips.

(moving picture display)

Enhance the eyes

The eyes will be automatically detected and enhanced. White can brighten and iris can brighten.

(moving picture display)

Batch work

Work, you can make AI work for you by batch processing the entire photo folder. For each photo, Portrait AI will find each face and automatically add the right amount of modification. Very suitable for proofing photos before delivery.

Compatible with a variety of software

Plug-ins into your workflow

The brand-new AI image processing software can be dragged at will, and the image is not damaged, which is convenient for users to process images. At the same time, it can automatically optimize the details of faces, add independent effect adjustment for each face, and then automatically process it, which is very intelligent.

It allows you to edit the image, add various special effects, support processing operations such as fill light, reduce light, monochrome, soften, blur, sharpen, increase noise and reduce noise, and has many functions such as black and white image coloring, lossless image amplification, sharpness enhancement, stretched image restoration, image defogging and so on.

It provides users with all kinds of processing tools to process images, and strives to meet all the needs of users, creating a first-class service experience for users, smooth operation and simplified workflow, making users more convenient and efficient to use.

Lip color dynamic

Follow the prompts to get it for free.

Aux’s New Year’s New Scenery: A New Spectrum of Improving Quality and Increasing Efficiency in Future Factories

A year’s plan lies in spring, and the spirit of the start is seen.

After the Spring Festival in the Year of the Rabbit, Oaks has made great efforts to innovate, improve quality and empower industries, strengthen market expansion, and greatly increase orders to achieve a good start. From the roar of machines, from the busy work of assembly lines, and from the enthusiasm of employees, Oaks has shown great vitality.

On the one hand, Oaks actively supplements talents in all aspects through spring recruitment activities; on the other hand, it injects new kinetic energy into the high-quality development of the whole year with the attitude of improving quality and increasing efficiency in future factories and waiting for no time.

As a leader in the manufacturing industry, the high efficiency, high standard and high precision of Oaks products have always been recognized by the industry. The digital, intelligent and standardized "future factory" is the mystery of Oaks to improve quality and efficiency. With the accelerated integration of the new round of scientific and technological revolution and industrial transformation, the new generation of information technologies such as 5G communication, big data, cloud computing, Internet of Things and artificial intelligence are constantly changing the production mode of Oaks and accelerating its high-quality development.

In the future factory of Oaks, from the core motor to sheet metal, assembly and logistics, Oaks Air Conditioning Factory adopts intelligent manufacturing almost all the way. It only takes 38 seconds to get from a plastic pellet to an air conditioning panel, and the production efficiency of the factory is improved by 30%, and the proportion of intelligent products is 80%. This set of data is enough to illustrate the hard core speed of Oaks’ "intelligent manufacturing".

The intelligent future factory can not only improve the production efficiency, but also make the production process more refined and reasonable. Through the intelligent management of production, the production process and equipment are fully interconnected to realize real-time monitoring of production process and equipment operation, and can be pushed in real time through mobile APP to realize mobile management and mobile office, which can greatly improve efficiency.

In addition to the intelligence of the production process, the future factory of Oaks has also realized the intelligence of planned production scheduling, rate monitoring and comprehensive efficiency of equipment, and through the collection and utilization of big data, the efficiency of quality inspection is also very obvious, for example, through 5G+AI vision technology, it has changed the dilemma of low efficiency and difficult traceability of surface quality detection by manual naked eyes. Once the product surface has scratches, differences in color brightness and other defects, even if it is thinner than hair, the camera will not let go. The detection system will digitally calculate the defective image, compare it with the standard, and feed back the defects at the first time with the help of 5G communication technology, so as to take immediate improvement measures. This is equivalent to installing intelligent quality inspection eyes in the production process, which is a great contributor to product quality improvement.

The improvement of efficiency also means the reduction of cost. Oaks relies on the intelligent production of future factories. Traditionally, the assembly line needs more than 100 people. Now it is all completed by machines and conveyor belts, and only three workers are needed, which undoubtedly saves the cost greatly.

On the whole, with the help of digitalization and intelligent empowerment, Oaks has achieved remarkable results in optimizing production efficiency, improving product quality and reducing production costs, so that it has enough strength to cope with a more complex competitive environment and write a new chapter in development.

Knowing that there is a long way to go for development, john young is just breaking the waves. Oaks keeps pace with the times, making a good start, laying a good foundation and opening a good game for the whole year with an efficient future factory. In the future, Oaks will further accelerate the pace of upgrading intelligent manufacturing, keep up with the development speed of the times, and strive to run out of acceleration on the intelligent track.

To what extent have robots developed in China?

The development of robots in China has made great progress, and various types of robots have been popularized from manufacturing to service. The following is some information about the present situation and development trend of robot industry in China:

China is dominated by industrial production and occupies a leading position in the global market.Logistics, warehousing, processing and other businesses all involve robots.

Consumer robots are becoming more and more popular.For example, home cleaning robots, toy robots and robots that assist the elderly and the disabled.

In 2019, China successfully developed the first conversational AI robot. Its name is Xiaodi, which has the functions of speech recognition, natural language understanding, dialogue generation and emotion recognition. It is widely used in customer service and hotel reception.

Considering the aging population and increasing medical costs, China is actively exploring medical robots. Such as robotic surgery, nurse robots, etc.

In education, artificial intelligence and robots are being used in schools and higher education.For example, educational robots can help children improve their math and science skills.

The market demand is huge.With the transfer of global manufacturing, China has become one of the largest robot markets in the world. According to the data released by the Ministry of Industry and Information Technology, in 2020, the output of robots in China reached 242,000, and the sales revenue reached 51.1 billion yuan, up 8.5% year-on-year.

Low cost advantageCompared with Europe, America and other countries, the production cost of robots in China is lower, especially in the fields of processing and system integration.

Wide range of application scenariosChina robots have a wide range of applications, not only in traditional manufacturing, but also in services, health care and other fields, such as hotel reception, family support, surgery assistance and so on.

A fast-growing industryThe government’s support for the robot industry is one of the favorable factors for the development of robots in China. Policy support and industry innovation have continuously promoted the rapid development of robot industry in China.

The development prospect of robots in China is in a stage of rapid growth and expansion, and it is very likely that this trend will remain in the future. Here are some reasons:

Huge market demandWith the advancement of industrialization and the aging of the population, the demand for robots is increasing in the fields of manufacturing, medical care and service.

High technical levelChina is rising rapidly in science, technology and manufacturing at an alarming rate. With the introduction of advanced technology, the robot industry in China has also developed rapidly.

Comprehensive policy supportThe government is committed to providing all kinds of financial support for enterprises and encouraging more enterprises to invest and participate in the development of robots.

Innovative environmentAt present, the domestic robot industry has formed an innovation ecosystem, including research institutions, manufacturers, integrators, application services and other chains.

Accumulate rich experienceIn recent years, China robot enterprises have developed their business in overseas markets, gathered many excellent technical talents and R&D personnel, and accumulated rich experience and knowledge.

Based on the above reasons, the robot industry in China will develop at a high speed in the future, and at the same time, it will promote the progress of the whole intelligent manufacturing industry, thus comprehensively promoting the transformation and upgrading of China’s economy.

The robot industry in China is one of the most popular investment fields at present, but whether it is worth investing needs specific analysis. Here are some reference factors:

market prospectThe robot market in China is huge and has great potential for future development, which is a long-term and sustainable trend.

policy supportThe state has great support for the promotion of intelligent manufacturing and robot industry, and supports it in various policy forms, such as tax policy and financial subsidies.

Competition patternAt present, the competition in the robot industry in China is fierce, especially the competition between domestic enterprises and foreign brands in the market, which requires careful consideration of their respective advantages and disadvantages.

investment riskThe technology in this industry is changing rapidly, and the market share is uncertain. Therefore, investment needs to consider the sustainability of business model and control the risks.

Generally speaking, when investing in the robot industry in China, we should pay attention to the overall operation and financial situation of the corresponding enterprises, and at the same time pay attention to the impact of the global economic situation on the development and investment of the industry.

In a word, with the continuous promotion of new technologies and innovations in China, the coexistence of robots and humans will become closer in the future. China robot has strong competitiveness and market potential due to its large market demand, low production cost, wide application scenarios and government policy support.

Sun Jihai missed, the new head of the Football Association may be locked, 1 out of 3, the dark horse in the deputy hall or counterattack.

March is destined to be an extraordinary month for football in China. According to Li Xuan’s report, in March, Du Zhaocai, deputy director of the General Administration, who is currently taking over the Football Association, will retire at the age of 64, and he will also step down. This also means that the new head of the Football Association must be implemented in March, otherwise Gao Zhidan’s words will become empty talk.

The time is short and the task is urgent. Where can we find the new head of the Football Association? In fact, this problem is not difficult. At present, the Football Association has three most suitable candidates. In addition to talking about three suitable candidates, we must talk about Sun Jihai, which has been popular recently, because it has delivered seven Xinjiang players for U20 men’s soccer team, and because of the outstanding performance of U20 men’s soccer team captain Effeldin, Sun Jihai is considered by many fans to be the most suitable to be the head of the Football Association, but in fact, Sun Jihai and Fan Zhiyi are the same. Although they are all members of the subordinate provinces of the Football Association, it is almost impossible to enter the consideration of the head of the Football Association.

Why? As the head of the Football Association, the first condition is to be able to accept the Football Association quickly. Chen Wharf dared to let a layman take office because he was surrounded by Gao Hongbo and Sun Wen. However, after this failure, according to the report of Football Daily, the General Administration is more inclined to let people within the system who understand sports take this position.

Who is the most suitable candidate at the moment? In fact, the first two suitable candidates are the two current vice presidents of the Football Association. The first one is Gao Hongbo. The advantage of Gao Hongbo is that he has been a vice president for a long time, and he is very familiar with the work of the Football Association, especially the administrative work, and can almost seamlessly connect with the current work.

The second candidate is Sun Wen. Sun Wen’s advantage here is that she is a woman. Sun Wen has led the women’s football team to achieve excellent results and accumulated enough fame over the years. Of course, the most important thing is that Sun Wen has not had much contact with the Chinese Super League team, which can also avoid the recurrence of Chen Wharf and Shanghai Harbour.

Who is the third candidate? The third candidate may be the most unexpected person for the fans. He turned down Li Xiaopeng, who works for the men’s soccer team. In fact, Li Xiaopeng is now the most likely to become a dark horse. Why? According to the report of Football Daily, there are several criteria for the General Administration to select the next head. The first one is between 40 and 50 years old, because this age can lead the Football Association to have a sustainable development time. Li Xiaopeng is now 47 years old, but Sun Wen and Gao Hongbo are both over the standard.

The second is that the General Administration is biased towards people within the system, so that it can be bound. Compared with Gao Hongbo and Sun Wen, only the identity of the Football Association, Li Xiaopeng is the deputy director of the Football Management Center of Shandong Sports Bureau, and the level has come to the deputy hall. Li Xiaopeng is more in line with the identity of the former two. The third is to know sports. Li Xiaopeng has been a coach of the club and the national team. Coupled with his experience as a player, Li Xiaopeng definitely has a chance to turn into a dark horse.

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AI medical care: the revolutionary change of future medicine

With the rapid development of artificial intelligence technology, AI medical care is becoming a revolutionary change in future medicine. AI Medical is to apply artificial intelligence technology to the medical field to improve the efficiency and quality of medical services. This article will introduce some important aspects of AI medical care and how it will change our future medicine.

First of all, AI medical care has great potential in diagnosis and treatment. Artificial intelligence can diagnose diseases quickly and accurately by analyzing a large number of medical data and images, and provide patients with more personalized treatment programs. For example, AI medical care can help doctors improve the early diagnosis accuracy of breast cancer and reduce the misdiagnosis rate. AI medical care can also predict the development trend and risk of diseases and provide more accurate medication plans.

Secondly, AI medical care can improve the efficiency and quality of medical services. With the aging population and the increasing chronic diseases, medical resources are becoming more scarce. AI Medical can optimize the process and resource allocation of medical services through automation and intelligence. For example, AI medical care can automatically record patients’ medical records and diagnosis results, reduce the workload of doctors and improve work efficiency.

Finally, AI medical care also faces some challenges and risks. For example, AI medical needs a lot of data to train algorithms, but these data often have privacy issues and uncertainty of data sources. AI medical care also needs to overcome technical limitations, such as the opacity of the algorithm and the difficulty of human-computer interaction.

In general, AI medical care will be a revolutionary change in future medicine. It will bring more accurate, personalized and efficient medical services, and at the same time, we need to face the challenges and risks seriously to protect the rights and interests of patients and medical safety.