Support Mu Shuai! Roman fans will bring white handkerchiefs into the stadium and wave at the kick-off to protest Mourinho’s suspension.

Marco Conidi, an Italian singer who wrote the famous song "Mai sola mai" for Rome in 2006, also participated in the protest. He wrote on Instagram: "The most important thing tomorrow is that everyone brings a white handkerchief. Let’s wave it before the game to protest that our respected coach has been absurdly disqualified from conducting. Everyone supports Mourinho!"

Five secrets you don’t know about ChatGPT

ChatGPT is a language model based on artificial intelligence, which has strong natural language understanding ability and is one of the most popular intelligent chat robots at present. However, besides its obvious function, it also hides some secrets that you don’t know. Here are five secrets you didn’t know about ChatGPT:

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1.ChatGPT keeps learning and never stops.

ChatGPT is a model based on machine learning, which constantly learns and improves its ability to meet the increasingly complex language requirements. Unlike some traditional language models that only train on specific data sets, ChatGPT can collect and process a large amount of text data around the world, and use these data to improve its own model.

2.ChatGPT has rich personality characteristics.

ChatGPT can adjust its personality characteristics according to the needs and interests of different users. It can simulate different types of languages, including humor, seriousness, intelligence or sensibility. This enables ChatGPT to provide personalized services according to different user situations and enhance user satisfaction.

3.ChatGPT can understand context and semantics.

In addition to simple question-and-answer and dialogue functions, ChatGPT can also understand more complex contexts and semantics. It can understand the language context, solve ambiguity problems, and make appropriate answers according to the situation. This semantic understanding enables ChatGPT to better serve users and provide more accurate answers and suggestions.

4.ChatGPT will not save user data.

ChatGPT is an intelligent chat robot to protect users’ privacy. It will not save any user data and will not disclose the user’s personal information and conversation content. This allows users to use ChatGPT with confidence without worrying about privacy leakage.

5.ChatGPT has a wide range of applications.

ChatGPT is not only a simple intelligent chat robot, but also can be applied in many fields. For example, in the field of health care, ChatGPT can provide diagnosis and treatment advice for patients; In the financial field, ChatGPT can help users with financial planning; In the field of education, ChatGPT can provide personalized education services for students. Because of its powerful natural language processing ability.

To sum up, as a language model based on artificial intelligence, ChatGPT is not only an intelligent chat robot, but also has the advantages of rich personality characteristics, strong semantic understanding and wide application fields. At the same time, it also pays attention to protecting users’ privacy, does not save user data, and brings users a better experience. In the future, with the continuous development of technology, we believe that ChatGPT will be more widely used and more powerful, bringing more convenience and surprises to people.

Live broadcast of materials science | When molecular design and experimental design have AI blessing: MaXFlow artificial intelligence application is upgraded again.

Lecture topic:When molecular design and experimental design have AI blessing, the new version of MaXFlow3.6.1 material will be released.

Lecture time:Thursday, March 16th, 2023, 15:00.

Speaker:Chuangteng Technology Lecturer

Enter the live room and remember to collect it after opening it.

It takes only 2 seconds to obtain a stable 3D molecular structure?

The generation of three-dimensional conformation of molecules plays a key role in the design of small molecules in materials science, life science and other fields. Traditional methods usually need to predict the distance between atoms, the gradient of distance or the local structure such as twist angle, and then reconstruct its 3D conformation.

In MaXFlow3.6.1, the DMCG component will be launched soon. DMCG is a method to directly predict the atomic scale, that is, to directly generate the three-dimensional coordinates of molecules without considering the intermediate value. This method can adaptively combine bond and atomic information, and refine the generated conformational coordinates through continuous iteration. This method has achieved good performance on both GEOM-QM9 and GEOM-Drugs data sets.

MaXFlow3.6.1 is about to launch the online molecular 3D coordinate generation module DMCG. DMCG can directly predict the three-dimensional coordinates of each atom without providing intermediate values such as bond length and bond angle, and visualize the optimized three-dimensional structure. This method automatically extracts bond and atom information from molecular SMILES, and obtains the lowest energy conformation through iterative optimization. DMCG has achieved excellent performance on both GEOM-QM9 and GEOM-Drugs data sets, and its intrinsic properties such as band gap of the generated conformation are consistent with the real values. This method will provide an effective basis for subsequent property calculation and molecular simulation.

With it, the optimization of reaction conditions will no longer make you "bald"

In the process of preparing new materials, many reaction parameters are usually involved. In order to find the best preparation scheme and obtain the best yield, a lot of experimental verification is often needed, which brings a lot of workload to researchers and is very time-consuming and labor-intensive. How to optimize the experimental design scheme by means of AI, so that researchers can find the best scheme only through a limited number of experiments?

MaXFlow, a molecular simulation and artificial intelligence platform, integrates machine learning algorithm with experimental design (DOE), which helps researchers quickly lock the optimal interval and greatly reduces the number of verification experiments.

In MaXFlow3.6.1, EDBO component will be launched soon, which integrates Bayesian optimization algorithm. Bayesian optimization is a global optimization algorithm based on iterative response surface, which shows excellent performance in the tuning of machine learning model. In recent years, Bayesian optimization has also been applied to the chemical field. Using Bayesian optimization method in experimental design can effectively help optimize process parameters, thus realizing data-driven decision-making.

At this conference, you will also learn about MaXFlow’s rich model building functions.

Wang Xing couldn’t help it, so he bet heavily on AI.

On March 8th, Wang Xingyu, the co-founder of Meituan, announced on WeChat that he would personally participate in the first financing of the company "Beyond Light Years" founded by Wang Huiwen and serve as its director. Wang Xing is also preparing to join the entrepreneurial wave of AI.

"The AI ? ? big model makes me both excited about the huge productivity that will be created soon and worried about its future impact on the whole world." Wang Xing said: "Lao Wang and I have been on the road to entrepreneurship for nearly 20 years. Since he is determined to embrace this big wave, I must support it."

Prior to this, Wang Huiwen, the former founder of Meituan, announced on February 13th the establishment of Beijing Lightyear Beyond Technology Co., Ltd., dedicated to creating China OpenAI. Wang Huiwen said that he planned to invest 50 million dollars in his own name, with an estimated value of 200 million dollars. Among them, 75% of the company’s equity was used to introduce top research and development personnel.

ChatGPT, is setting off a new technical competition about AI. It is an AI dialogue software developed by OpenAI Company in the United States, and its intelligence is comparable to that of human beings. As soon as it was released, it was very popular all over the world in the form of the speed of light. Since February, both Microsoft and Google have increased their investment in artificial intelligence. Microsoft has released a new generation of Bing and Edge based on ChatGPT technology. Google also launched Bard, which is based on Google’s LaMDA big data model.

"I don’t understand AI technology at present and I am studying hard." Wang Huiwen said before that top venture capital companies have prepared $230 million for the next investment, and the project is not to worry about money. On the recruitment requirements of the company, he said, what we want is the top research and development personnel in the industry, who have a strong belief in the transformation of artificial intelligence and firmly ensure that AI benefits mankind.

Wang Huiwen also posted a message on social media: "I will enter the artificial intelligence track, and I will take out 50 million US dollars to join the team, regardless of salary and position, and seek a team."

Manchester United want to sign a Premier League player to succeed Degea! Tenghage worried about the goalkeeper passing the ball and pointed out the reasons for the mistake.

Because the Premier League lost seven goals against Liverpool and Betis made many mistakes in the Europa League, Manchester United goalkeeper Degea won the best save award in the Premier League for the first time, but he stood at the forefront. According to British media, Manchester United are still considering bringing in David Laya of brentford or diogo Costa of Porto as the new No.1 candidate. Once the performance is not good, Degea will face the cleaning of British media, which has been the customary operation in the past two or three years.

Manchester United are currently negotiating a new contract with Degea, who has entered the last six months of his contract. However, his recent performance has led the British Daily Telegraph to say that the club may introduce a new goalkeeper this summer. Brentford’s Raya has been selected for the Spanish team twice, and his contract is about to enter the final year. Manchester United may sign at a lower price. The German transfer market network is valued at 22 million euros, but as Chelsea and Tottenham are also interested in the 27-year-old goalkeeper, the actual price may not be so low.

Compared with Laya, 23-year-old Costa is expensive, and the valuation of Portugal is 45 million euros. If you really want to get him, I’m afraid you need to double the price, and the breach of contract is 75 million euros. Not only that, the new goalkeeper will also ask for a very high salary, I am afraid it will not be much lower than the salary after the salary reduction and renewal of the contract.

The British media confirmed that Tenghage’s primary signing goal is the center and frontcourt, so he will only consider changing the goalkeeper if the budget allows. But Tenghage made it clear that Degea must improve his passing skills. "I can’t ignore (Degea’s passing mistake) today, but I think we have also seen many games in which he really performed well. "Tenghage said," We are working hard, and David (Degea) is also working hard. 」

As for the reasons for Degea’s mistakes, Tenghage thinks that there are objective factors besides personal skills. For example, in the Premier League, the match ball was provided by Nike, while the Europa League chose Japanese Morten’s football. "The result of the team’s analysis is that there is a lot of snow during the game, and the use of different football in the Europa League may cause him to encounter some problems. But I know that we can handle it, and he will do better on Sunday. "Teng Hager said.

Manchester United will face the relegation team Southampton at home this Sunday. The Red Devils beat their opponents 9-0 at Old Trafford, but Tenghage reminded his disciples not to underestimate their enemies: "We have seen that Southampton beat Chelsea away two weeks ago, so we must play well on Sunday to beat them. The points at the bottom of the list are very close, so they will be very active and hope to get points in the Dream Theater. Therefore, we must put in 100% and give our best performance. 」

In addition to Degea, the future of injured Manchester United center Marchal this summer is also uncertain. It is rumored by British media that Tenghage may sell him and bring in a new center. The 27-year-old French demon king can only play 14 times in 43 games this season and suffered five different injuries. In the past three seasons, he only scored 14 goals.

Tenghage hinted that Marchal would be given one last chance: "I believe a striker like him will improve our team. At different times in the game, and between different games, you always need a player who can bring different effects to the team. See what you need and what the game needs. Marchal can create something through his movement, his handling of the ball, his ball dealer and his shot. 」

Tenghahe said that Degea’s passing performance is problematic and needs attention. In addition, Tenghahe also talked about Dean Ma and Cupid.

This article is translated from TA’s team LW: Erik Ten Hag Addresses David de Gea’s poor kicking display against real betis:’ From today I can’t ignore it’

Manchester United manager Hach said that he could not ignore Degea’s poor performance in the game against Betis, and the Spanish goalkeeper had difficulty in getting the ball out of the backcourt.

Tenghahe believes that Degea’s passing ability has improved this season, but he raised concerns before Sunday’s home game against Southampton.

Degea’s footwork was very poor in the first leg of Manchester United’s game against Betis Europa League 16, especially in the first half, but Manchester United won 4-1.

In a serve, Degea passed the ball directly to Juanmi, but pellegrini’s team failed to take advantage of the opportunity.

When asked if Degea can improve this problem, Tenghahe replied: "From today on, I can’t ignore this problem, but I think we have seen him perform very well in many competitions."

"I don’t know what the reason is. At that time, there was a strong wind and different football was used. Maybe he had some problems in this respect, but I know that we can handle this problem well and he will perform better on Sunday. "

"We have trained in this area, but Degea is also working hard. I think we have seen him improving this season and he will continue to improve, I believe. "

Tenghahe said that although Dean Ma has returned to training, they must be cautious about this player to avoid being injured again.

When asked if he was worried that Dean Ma would be injured again, Tenghahe said, "Yes, but we have always had a good plan, and so far it has not always worked."

Although Dean Ma may return to the lineup, they will carefully manage his health.

In addition, cupid, who has been absent for several months due to injury, is another player who has attracted much attention.

Tenghahe expressed confidence in Eriksson’s injury. Eriksson suffered an ankle injury in Manchester United’s FA Cup match against Reading on January 28th, but the midfielder is expected to return in April.

Tenghahe said: "I think he will definitely play again."

"But I’m not sure when he can come back, but his recovery progress is not bad, as planned. We will definitely see him again, but not before the international break. "

"Yes, he participated in the discussion of the team. But at present, his main concern is to come back as soon as possible because we need all the players. "

Manchester United will face the challenge of Southampton, which is currently ranked 19th in the league.

Wangli Technology AI large-scale psychological screening helps teenagers’ mental health.

In recent years, the mental health problems of teenagers have become more and more prominent, but there is a serious shortage of full-time manpower engaged in campus mental health. In 2022, several cities across the country issued relevant documents to strengthen the management of mental health of primary and secondary school students, and began to explore the working mechanism of screening, early warning and intervention tracking of students’ psychological problems. However, in the actual work, there are still difficulties and problems such as insufficient coverage of psychological screening and early warning, low accuracy and low closed-loop intervention rate.

In July 2021, in order to further improve the pertinence and effectiveness of students’ mental health work, effectively strengthen professional support and scientific management, and strive to improve students’ mental health literacy, the Ministry of Education issued the Notice on Strengthening the Management of Students’ Mental Health, which clearly requires active.With the help of professional tools and means, students’ mental health evaluation work is carried out regularly.Improve the screening and early warning mechanism and implement accurate intervention as soon as possible. The scientific analysis and rational application of the evaluation results, the classification of mental health education programs, and promoteEstablishing the psychological growth file of "one strategy for life".

In order to fully understand the mental health status of primary and secondary school students in the county, screen and investigate students who may have psychological confusion and problems, and improve the forward-looking, targeted and effective work of school mental health education, a county under Ya’ an City, Sichuan Province, in accordance with the implementation plan of mental health assessment for primary and secondary school students in Ya’ an City and other related work requirements,Relying on Wangli Technology to Develop Artificial Intelligence Psychological Evaluation and Screening SystemConduct psychological evaluation activities for students in grades 4-6, junior high school and senior high school in the county.

According to the plan, the mental health assessment lasted for one week, involving nearly 10,000 students in the county. Wangli Technology has formulated a standardized implementation plan for this large-scale psychological evaluation and strictly controlled all aspects of the whole evaluation work. In order to ensure the smooth progress of the evaluation of school students’ mental health status and the establishment of mental health files, Wangli Technology did a lot of preliminary work before the evaluation began, and made the process of psychological evaluation into courseware. Professional psychological technical service personnel systematically trained mental health teachers and class teachers on the operation process and precautions of this evaluation.

During the evaluation process, after the students log in the corresponding account password, the relevant school leaders and mental health teachers guide the students to fill in the answers online through the computer, and systematically evaluate the mental health status of primary and secondary school students from related psychological problems such as emotion, stress, interpersonal relationship and test anxiety. After the evaluation, Wangli Technology systematically summarized and analyzed the evaluation results and generated a detailed evaluation analysis report.

Different from the past, this mental health assessment has changed the decentralized model of each school’s own assessment. Wangli Technology provides a unified assessment service, which can provide multi-level reports such as county (city), school, grade and class, and comprehensively understand the overall mental health of students. Screening students’ mental health and psychological problems,Improve the coverage rate of students’ psychological screening. Combine data analysis and group report to grasp students’ psychological trends in time and establish a psychological growth file of "one policy for life". Through rigorous data analysis, the list of students who need to pay attention to is provided, which provides scientific basis for the timely development of student crisis intervention in the later period, thus improving the pertinence and effectiveness of mental health education and service, and protecting students’ mental health.

Based on artificial intelligence technology, building a big data management platform for students’ mental health can organically combine regular psychological screening of all employees with daily stress dynamic monitoring, which can make the monitoring and early warning of students’ mental health problems more timely and accurate. In addition, relying on the big data platform to establish a full-process management mechanism from screening and early warning to intervention tracking can promote the digital transformation of adolescent mental health work. At the same time, deepen the use of data,Provide data support for scientific decision-making of leaders at all levelsTo help students build a mental health service system.

Messi completed the club’s 300 assists! He may score the 800th goal of his career in the next game!

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On March 12th, Greater Paris narrowly beat brest 2-1. Messi assists, Mbappé is the winner. Mbappé scored his 201st goal in Paris in the last round of Ligue 1, becoming the top scorer in the history of the club. In this match, Mbappé scored the 3000th goal in the history of Barley, which was the 12th team in the history of Ligue 1 to achieve this feat, but ranked third in speed. They used 1858 games, only Marseille in 1801 and saint etienne in 1816 were faster.

It was only in the past ten years that Greater Paris became a giant, because Qatar spent nearly 1.5 billion euros to build Greater Paris into a strong team with Champions League competitiveness, and signed Messi, Neymar, Mbappé and Ramos. Especially the Big Three. However, this group may disintegrate next year, and even after the end of this season, Messi may leave the team.

Messi is negotiating a contract renewal with Greater Paris at this stage. He wants to stay in the five major leagues for at least one year, so that he can continue to attack the Champions League and compete for the America’s Cup at the national team level. Although the cooperation with Grand Paris may end, Messi will take the game seriously as long as he plays, and his role is almost the most obvious in Grand Paris. Only Messi can liberate Mbappé.

In this game, Mbappé ran a fast race and didn’t have many chances, but Messi’s quick delivery finally made Mbappé’s speed work. He also got the round of one-on-one challenge against the goalkeeper and won it smoothly. This is Messi’s 300th assist, all in the five major leagues, and they are all giants, Barcelona and Greater Paris.

Mbappé has worked with Messi for less than two seasons, but the number of assists he has received from Messi has already hit the top three of all Messi teammates. Mbappé wants all kinds of golden boots, and it is obviously the most beneficial to cooperate with Messi. Messi likes to assist his teammates. Suarez said earlier that Messi and Neymar had helped them compete with Cristiano Ronaldo for the European Golden Boot. They would give way and make the ball.

Messi has assisted 300 clubs, with 269 assists in 672 games in Barcelona and 31 assists in 65 games in Greater Paris. In this round of Ligue 1, Messi didn’t score, but he basically scored one goal per game recently. If Messi scores another goal, he will be able to activate the milestone of 800 goals in his career, and maybe he will break the record in the next round of Ligue 1. Otherwise, this milestone will be activated as a player of Argentina’s national team. After Ligue 1, Argentina will have two warm-up matches.

Five self-driving companies fell in half a year, and the American technology circle ushered in a "change"?

Globally, the United States has been in the leading position in artificial intelligence technology and application for a long time, and the development of driverless driving originated in Europe and America earlier. However, judging from the development of self-driving enterprises in the United States in recent years, layoffs and resignations have occurred frequently, and even more self-driving enterprises have gone bankrupt.

According to the new strategic low-speed driverless industry research institute, in the past six months, many companies in the American driverless industry have announced a large number of layoffs and filed for bankruptcy, including Ibeo, the originator of lidar, and Embark Trucks, a self-driving truck company.

Embark Trucks: from valuation of 5 billion to near bankruptcy only16 months

Embark was founded in 2016 and headquartered in San Francisco. It was co-founded by Alex Rodrigues and Brandon Moak. It is understood that Embark’s initial plan is to build a self-driving shuttle bus for university campuses. Soon after, the team began to turn to self-driving trucks applied to highways.

The market for self-driving trucks has broad prospects, and Embark has quickly gained the favor of venture capitalists. During the period from 2016 to 2019, Embark raised funds including: 2 million USD seed round financing led by Maven Ventures, 15 million USD Series A financing led by DCVC, 30 million USD Series B financing led by Sequoia Capital and 70 million USD Series C financing led by Tiger Global.

In 2021, Embark began to seek listing. In the transaction report, Embark said that they plan to realize the operation of self-driving trucks in the southern industrial zone of the United States from 2024. In November 2021, Embark successfully went public with a market value of about 5 billion US dollars and raised about 614 million US dollars.

However, this 7-year-old enterprise has never really started its business, let alone generate revenue or make profits. According to foreign media reports, Embark has announced the end of its operations and laid off most of its employees.

Locomation: nearly 70% of employees have been laid off, and the product has not been put into commercial operation so far.

Locomation originated from the National Robotics Engineering Center of Carnegie Mellon University and was founded by five co-founders in 2018. Locomation is developing the formation driving technology of heavy trucks-ARC Autonomous Relay Convoy. This technology allows a pilot truck with a safe driver to lead a second truck, in which the driver can rest or do other work.

In February this year, Locomation failed to raise additional investment capital, which led to layoffs. It was once rumored by the outside world as bankruptcy. In this regard, Locomation denied the media reports about the closure, but admitted that it did fire most non-engineering personnel. It is not clear how many of the 122 employees estimated by Locomation are facing dismissal. It is reported that there are 80 employees, most of whom left on February 24th.

?etin Meri?li, co-founder and CEO of Locomation, said that the company will not close down, but it has indeed reduced most non-engineering personnel in the face of economic headwinds.

For the development of the company, Finch Fulton, vice president of policy and strategy of Locomation, said that the company had recruited many smart employees, practiced strategic solutions and had some customers, but now the result was that it could not raise funds and the products could not be put into commercial operation, so it was necessary to make this decision.

Quanergy: Apply for bankruptcy liquidation and seek maximum value.

Founded in 2012, Quanergy is one of the first companies to develop LiDAR devices for automotive applications. Quanergy’s mission is to create intelligent LIDAR solutions with powerful functions and reasonable prices for Internet of Things applications to improve people’s experience and safety.

In December, 2022, Quanergy announced that the company started the orderly sale procedure of its business. In order to promote the sale and maximize the value, the Company applied for protection to the United States Delaware District Bankruptcy Court ("Bankruptcy Court") in accordance with Chapter 11 of the United States Bankruptcy Law ("Bankruptcy Law"), and intended to sell its business in accordance with Article 363 of the Bankruptcy Law.

Before submitting the bankruptcy protection case, the board of directors and management evaluated a series of strategic options to maximize the value of all stakeholders. The company also reduced operating expenses and settled a major patent lawsuit with Velodyne. Now with the protection provided by Bankruptcy Law, the company intends to expand its marketing efforts of potential buyers interested in specific business sectors or assets, and continue to seek continuous sales of business.

The company is expected to continue to operate in the process of bankruptcy protection and seek to complete the rapid sales process with the approval of the bankruptcy court. In order to help fund and protect its operation, Quanergy intends to use the available cash on hand and normal operating cash flow to fund the operation and normal costs after the application.

Argo AI: layoffs are closed, and investors "start a new stove" to receive.

In October 2022, Ford officially issued a statement: Argo AI, an autonomous driving company jointly invested by Ford and Volkswagen, will be closed and dissolved, and employees and some parts will be accepted by Ford Motor Company and Volkswagen Company respectively.

Argo AI, an autonomous driving technology company from Google’s unmanned vehicle team, was founded in 2016. A year later, it was acquired by Ford for $1 billion and introduced Volkswagen investment in 2019. Argo AI, backed by two mountains, can be said to be a star unicorn in the field of autonomous driving.

The valuation was as high as $7 billion, and the accumulated gold was $2.6 billion. The team size was as high as 2,000. However, it is such a potential L4 autonomous driving technology company that layoffs and bankruptcies are reported, and after the dissolution, Argo AI’s employees and technology may be taken over by Ford and Volkswagen.

So far, Ford has indeed done this. Just last week, Ford Motor announced that it would set up Latitude AI, a wholly-owned subsidiary, and recruited hundreds of employees for the new company from Argo AI, which it had previously invested in.

According to Ford’s statement, Latitude, located in Pittsburgh, the former home of Argo, will focus on developing an autonomous driving system for millions of cars with hands-free, eyes-off-the-road. Ford said that Latitude will focus on the automatic technology to assist human drivers in the short term, and will not completely replace human drivers with autonomous driving technology.

Velodyne: completely quit after merging with Ouster.

In 2016, Velodyne Lidar Division was separated from Velodyne Acoustics Company and became an independent company. In order to get the goods first, Ford and Baidu jointly invested $150 million in Velodyne Lidar Company. Since then, Velodyne has successively signed contracts with companies such as Mercedes-Benz, Hyundai Mobius and Boston Dynamics.

In the laser radar industry, Velodyne has always been in the leading position as the first laser radar in the world, and considers itself as "the only laser radar enterprise that can mass-produce wire harnesses." As more and more enterprises poured into the laser radar track, the products became more and more involved, and Velodyne began to decline.

Especially in terms of price. Velodyne mainly sells 64-line, 32-line and 16-line lidar, and the official prices are $80,000, $40,000 and $8,000 respectively. Because Velodyne chose the agency mode in the sales mode, the buyer also needs to pay taxes and agents’ service fees. As a result, the final price of a Velodyne64 line lidar was nearly 700,000 yuan. Other companies can provide more cost-effective products.

In February this year, Velodyne said that it had successfully completed the "merger of equals" with the lidar manufacturer OUSTer, which took effect on February 10th. The company will keep the name of Ouster and continue to trade under the company’s stock code "Oust". This also means that Velodyne has launched the historical stage.

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Although autonomous driving start-ups have fallen in the past six months, the exploration of autonomous driving in the United States is still overweight. According to foreign media reports, the American Autonomous Vehicle Industry Association released a policy framework on March 1, outlining the key priorities of federal autonomous vehicle legislation and supervision.

The framework proposed by the association includes several suggestions to the US Congress and the Department of Transportation to guide the federal government to take corresponding actions and promote the deployment and commercialization of self-driving cars in the United States.

Jeff Farrah, executive director of the association, said: "Self-driving cars are being tested and operated in various States in the United States, taking passengers and goods where they need to go. The United States is currently the leader in autonomous driving technology, but other countries are also making rapid progress. " Members of the association include Aurora, Cruise, Ford, Volkswagen, Waymo and Zoox.

With the continuous promotion of China’s position in the global political arena, China’s scientific research achievements in the field of autonomous driving have attracted worldwide attention. In 2023, China and the United States will have a new round of science and technology competition, and the industry will wait and see.

Musk: I was interested in cryptocurrency, but now I love AI.

On March 6th, Tesla CEO Elon Musk said on social media: I used to be interested in encrypting digital currency, but now I love artificial intelligence. "

According to media reports, Musk recently contacted artificial intelligence researchers and planned to set up a new research laboratory to develop a substitute for ChatGPT.

In addition, Musk’s remarks also suggest that compared with ChatGPT and Microsoft’s new chat bots, the chat bots he developed may have fewer restrictions on controversial topics.