Lei Feng, a good soldier of China People’s Liberation Army, is admired and loved by people all over the country for his selfless dedication and noble character. However, due to technical limitations, Lei Feng’s image data before his death is not complete, which makes many people have doubts and misunderstandings about his characters and deeds.

Now, with the continuous development and application of artificial intelligence technology, we have the possibility to repair the image of Lei Feng before his death, so that we can get to know this great man again.

Through AI technology, the image of Lei Feng before his death can be repaired and reconstructed, making his image more real and clear. This will not only help us better understand Lei Feng’s life and deeds, but also inspire more people to learn Lei Feng’s spirit and inherit Lei Feng’s patriotism and humanitarianism.

The process of restoring Lei Feng’s image before his death is not simple, and it needs a lot of data and algorithm support.

First of all, it is necessary to collect photos and video materials of Lei Feng before his death, and then analyze and reconstruct these materials through image processing and deep learning algorithms. Finally, a group of high-definition and authentic images of Lei Feng were obtained, which made people feel his image and deeds more truly.

Restoring the image of Lei Feng before his death is not only a technological innovation, but also a cultural inheritance and value transmission.

Through this AI technology, the history and culture of China can be better spread, and at the same time, more people can be encouraged to learn from Lei Feng’s spirit and inherit his patriotism and humanitarianism.

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

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

What problems should the new research solve?

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

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

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

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

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

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

How did BEV-LaneDet perform?

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

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

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

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

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

Introduction to CVPR

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

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

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

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

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

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

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!"

chatgpt

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

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.

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."

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. 」

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.