In the era of digital economy, the application of AI and cloud computing technology has become the consensus of the development of all walks of life. With the further deepening of the integration of artificial intelligence and industry, the development of AI has temporarily become a phenomenon of the times.

Recently, Baidu Smart Cloud released a series of white papers on the “Integration of Cloud and Intelligence” technology and application analysis, drawing a clear “map” for the future direction of enterprise AI technology development.

For the problem of how to go to the cloud and how to use AI empowerment in the intelligent upgrade of enterprises, the white paper gives the “optimal solution”: under the general trend of integration of cloud and intelligence, build a full-stack model of enterprise AI development.

Three keywords for future enterprise AI development: scenario first, independent innovation, efficiency is the key

An industrial study conducted by Tsinghua University shows that for a new technology to develop for a long time, it needs to be embedded in existing production factors and can continue to create value.

The same is true for companies developing AI technology. Whether a new technology can continue to develop is a prerequisite for self-consistent business. From an enterprise perspective, this is also the purpose of developing AI technology: to empower specific businesses.

Baidu’s “Cloud Intelligence One” white paper also reveals this point.

The white paper mentions: “The definition of requirements based on business scenarios is the basis for successful AI algorithm model development.” Baidu found in the process of serving companies that more than 80% of the requirements need to be customized according to actual application scenarios.

Reflected in the development of AI technology, a good AI development platform needs to consider the technology development environment that matches the application scenario.

We take Baidu’s AI development platform as an example. For actual business scenarios such as quality inspection, inspection, OCR, remote sensing image analysis, text classification processing, and product inspection, Baidu has built a series of algorithms, tools and components to help companies in AI During the development process, AI development oriented to scenarios and business was established.

Such AI development may make the application route from AI technology development to the business end shorter, and the investment in AI technology may also be more intuitive to see the effect.

In fact, because of the diversity and complexity of scenarios, companies have very scattered demand for AI technology development, because companies need to integrate with specific businesses. This is why many companies are trying to build their own AI development capabilities, because only with independent technological development can they have sufficient flexibility and adaptability in business applications.

In order to meet such requirements for flexibility and adaptability, Baidu Feida’s core open source framework has made a lot of optimizations for the deep learning technology needed in the industry. For example, for the development needs of enterprises, Baidu Smart Cloud has launched the Flying Paddle Enterprise Edition, which meets the diverse AI development needs of enterprises through a zero-based EasyDL development platform and a full-featured BML development platform. Judging from the cloud intelligence integration white paper, there are currently two types of developers on Baidu’s AI open platform, one is AI application developers, and the other is AI algorithm developers. AI application developers may be relatively more familiar with the company’s own business, but do not have a deep understanding of AI technology. Therefore, a zero-threshold development platform such as EasyDL is needed to meet development needs. For example, an AI model that can simply extract business data and automatically extract features can be made through EasyDL, and it can be deployed on different hardware platforms to meet the application requirements of the enterprise. For AI algorithm developers, they may pay more attention to the effect of the algorithm than the process from technology development to application. Therefore, on the full-featured BML development platform, they can meet the needs of users through preset models and visual modeling. The demand for development efficiency. In fact, AI technology development platforms such as Baidu Feida should not only meet the flexible needs of enterprises for AI development, but also the efficiency of AI development is also valued by enterprises. Because the development and application of AI technology is not only a technical issue for enterprises, but sometimes it is also a cost issue. This means that the development platform needs to consider the issue of efficiency from the underlying architecture of AI development. Also take Baidu Feipad Enterprise Edition as an example. In the data labeling process of enterprise AI development, the intelligent cleaning and automatic annotation capabilities of Feipad Enterprise Edition can greatly reduce the cost of data annotation. For another example, the continuous iterative optimization capabilities of the Flying Paddle Enterprise Edition based on the data closed-loop realization model can also further improve the efficiency of enterprise AI development. The development of AI technology by enterprises means a certain cost investment. Therefore, it is very important to improve the “cost-effectiveness” of AI development. The key to improving the “cost-effectiveness ratio” is actually choosing a high-quality AI technology development platform. So, what kind of development platform is considered high-quality? A platform that understands the actual technology development needs of the company better than the company. Take Baidu as an example, AI technology has been implemented smoothly in various fields. For example, in the energy field, it has cooperation with State Grid and Southern Power. In the field of communications, Baidu AI has also successfully landed in China Unicom and mobile companies. At present, the commercialization of AI is smooth, indicating that Baidu has a deep understanding of AI. The deeper the understanding of technology, it means that Baidu better understands the pain points of enterprise AI technology development. Therefore, in terms of technology and understanding of commercialization, Baidu may better help companies develop and apply AI technology. Why cloud intelligence integration is the general trend of future AI technology development The development of enterprise AI technology is inseparable from the general trend of AI technology evolution. The current development and evolution of AI technology has three main characteristics. The first is that under the guidance of low-cost and high-efficiency enterprise needs, AI capabilities have evolved from single-point modular development to technology development and application in multiple business scenarios. In the first stage of the development of AI technology, the development of enterprise AI technology is mostly in the application exploration stage. After the business scenario is found, the development of AI technology is further deepened. This is because enterprise-side AI development requires low-cost and high-efficiency solutions, and it also needs to lay the foundation for technology development for the full application of AI technology in the future. This requires that the AI ​​technology development platform not only meets the needs of enterprise modular AI development, but also needs to meet the needs of comprehensive intelligent upgrades in the future. For example, in the process of upgrading AI technology from a single point of application to multiple business scenarios, companies will inevitably encounter management issues such as the development, application, and operation and maintenance of AI capabilities, such as the sharing of AI data between different businesses. Problems such as engaging in data Lonely Island are formed within the enterprise. In this regard, Baidu’s solution is to build a set of AI capability production and centralized management platforms for enterprises, and build an infrastructure for enterprise intelligent upgrades. The advantage of this is that enterprises can form a middle platform of capabilities from AI development to operation and maintenance management. Baidu Smart Cloud is the foundation of this infrastructure. This actually leads to the second feature of the future development of AI technology: Cloud is a platform for large companies to export AI capabilities, and there is a coupling between AI and cloud. For example, a certain industry needs AI vision capabilities and AI knowledge graphs. Through the integration of cloud intelligence, it is possible to meet the needs of enterprises for AI capabilities. This is actually the coupling between AI and cloud. In terms of specific cases, in the cooperation between State Grid and Baidu Smart Cloud, on the basis of the integration of cloud and intelligence, and based on the knowledge graph, Baidu Smart Cloud has built a set of grid fault handling system for State Grid Electric Power, and realized the grid fault handling. The ability of automatic reasoning and judgment and knowledge retrieval has improved the efficiency of power grid fault judgment and disposal by more than 20%. In the development of cloud-intelligence AI, Baidu’s brain integrates a large-scale AI production platform that integrates software and hardware, and the cloud is a platform for Baidu’s AI capability output. With such AI technology capabilities, AI has become the intelligent hub of the enterprise, opening up the internal data of the enterprise , Knowledge and business, and can promote more intelligent business innovation. The reason why it has such an ability to develop and apply AI technology is because Baidu has full-stack AI technology and a complete development ecology as the basic support. In addition to coupling, the third characteristic of current AI technology development is the full-stack technology development. Why is Baidu Smart Cloud able to provide so much support for enterprise AI technology development under the integrated cloud and intelligence system? The core reason is that Baidu has full-stack AI technology and capabilities. The full-stack technical capabilities are reflected in the AI ​​development infrastructure, which brings about a more cost-effective AI technology development program. As an infrastructure, cloud intelligence can meet the future needs of enterprises for high performance, high cost performance, and high utilization of AI second-tier facilities on the enterprise side. The second is to provide full-process optimization and development efficiency tuning, and to provide solutions for enterprise customization needs. For example, Baidu Smart Cloud uses a three-tier infrastructure of AI computing, storage, and containers, and under the AI ​​development architecture that integrates software and hardware. AI and cloud are not simple additions, but fusions at the bottom. Therefore, the performance of the computing layer is higher, and the data The processing speed is faster, the storage layer data processing is faster, and the container layer resource management is more efficient. We take the artificial intelligence platform of State Grid as an example. Based on full-stack AI capabilities, State Grid has built relevant general AI capabilities including image recognition, face recognition, speech and text recognition, and knowledge graphs. On the development side, State Grid has implemented a full-process collaborative development model, enabling model developers, application developers, and business application personnel to have intelligent power service capabilities through the development tools and various interface services provided by the Baidu development ecosystem. From the enterprise perspective, what enterprises need is to customize AI development solutions on demand. Therefore, AI vendors are required to have sufficient technical capabilities to support them, as well as flexibility in deployment. The demand for AI capabilities of an enterprise is not static, but is constantly adjusted as the business changes. For example, a product with 2 million and 200 million users not only means that the demand for AI computing power has increased, but the focus of AI algorithms may be different. Therefore, AI cloud is a more “flexible” solution that can better meet the needs of enterprises. We assume that after 200 million users of this enterprise need to identify users, not only AI data processing is needed, but AI image processing capabilities may also be needed. This means that the AI ​​development platform also needs to have full-stack AI capabilities as the underlying support, so as to meet the needs of different AI capabilities for the future development of enterprises. At present, Baidu has many successful cases in the development of full-stack AI. The experience behind these cases is not only an asset for future enterprise AI development, but also for the development of enterprise full-stack AI capabilities in the future. s help. Written at the end: Giant technology companies are grabbing the big track, such as Baidu, Microsoft and other companies, aiming to build infrastructure in the era of smart economy and become “water, electricity, and coal.” The posture of traditional enterprises is to “lean against the big tree so as to enjoy the cool”, and use other people’s technology to efficiently empower themselves. Therefore, when enterprises are upgrading their intelligence and choosing AI “big trees”, they must not only pay attention to the present, but also consider the future. The white paper reveals the general trend of AI development in the future. In the future, AI technology will further integrate with the industry and bring technological dividends to various fields

The cause of the incident was that on June 7, Baidu’s wholly-owned subsidiary Dazi County Bairuixiang Venture Capital Management Co., Ltd. invested and established Jidu Technology Co., Ltd. with a registered capital of 2 billion yuan. The legal representative is the CEO of Jidu Automobile. Xia Yiping’s business scope includes sales of new energy vehicles, new energy vehicle production and testing equipment, and so on.

But it is worth noting that the Jidu Technology Co., Ltd., which was solely funded by Baidu, is not the previously known Jidu Automobile.

As we all know, Baidu and Geely jointly established Jidu Automobile in March this year, with Baidu and Geely holding 55% and 45% of the shares respectively.

So why does Baidu set up Jidu Technology in addition to Jidu Auto, and does Geely know about this?

At present, Baidu has responded that Jidu is a technology-based automobile startup invested and established by Baidu and Geely. Based on the current business development needs of the company, the shareholders of both parties have jointly decided to register the company in Beijing, the company’s future shareholding structure and Operation and management methods will be further communicated to the outside world after specific information is available.

In short, the state of Baidu’s sole proprietorship is only temporary, and the company’s equity ratio and operating ownership will be further adjusted in the future.

But it is intriguing that Geely has not responded to this so far.

Because of this, many people in the industry have also speculated whether Baidu might leave Geely aside and build cars on its own.

However, from the perspective of Kung Fu Motors, it is unlikely that Baidu will build a vehicle solely at this time.

For Baidu, Geely chose Geely because Geely has strong core technology and advanced manufacturing capabilities, including industry-leading car-building architectures such as CMA and SEA Haohan.

In particular, the SEA Haohan architecture released in September last year is a pure electric original architecture with user travel experience as the core. It realizes the trinity of hardware layer, system layer, and ecological layer. It has the world’s largest bandwidth and is the world’s most efficient smart electric vehicle solution. The plan is to create a highly customized and evolving zero-boundary intelligent travel experience for users. Using Geely’s established platform architecture, design and R&D, supply chain and factories, Baidu only needs to develop and redefine software on a mature platform, and use user thinking and experience thinking to easily build a different smart car.

One is a leading domestic Internet company, and the other is the largest domestic brand auto manufacturer. The cooperation between Baidu and Geely can be described as a cross-regional strong alliance of leading forces in different fields. It is precisely based on this that Baidu has no need to jump out and do it alone.

In addition, Jidu Automobile CEO Xia Yiping also publicly disclosed the new progress of car manufacturing recently. He said that Jidu Automobile will unveil a concept production car at the 2022 Beijing Auto Show. The appearance and interior design of the vehicle have been basically determined, and it is initially expected to accept reservations next year. Therefore, this is definitely not the time to leave Geely flying solo.

Kung Fu Make a Case

To be sure, Baidu currently has no plans to build cars solo. Judging from this large amount of more than 2 billion, Baidu is determined to win the first model. This new model that combines the advantages of the current two major domestic giants is also worthy of our continued attention.

Specifically, leaders in Qinghai province ordered the closure of Bitcoin mining pools on Wednesday (June 9) and banned related companies from operating in the province. On the same day, leaders in the city of Changji in the Xinjiang Autonomous Region ordered the closure of the mines here, which hold the largest Bitcoin mining capacity in the world. Inside a cryptocurrency mine in Sichuan. Meanwhile, searches for the keywords Huobi, Binance and OKEx have also been blocked on the search engine Baidu and on the social network Weibo. These are the three major virtual currency exchanges in the world and are used by the Chinese to trade cryptocurrencies. This is the second time Weibo has blocked cryptocurrency-related content in the past few months. In March, the social media accounts of the three exchanges were blocked by Weibo for unknown reasons. Earlier, Weibo also blocked the account of Binance co-founder and famous shark Justin Sun. A series of moves to crack down on virtual currencies from China has caused Bitcoin to plummet since the middle of last month, at times dropping more than 50% from its peak to $30,000. The reason given is because virtual currency mining goes against China’s goal of being carbon neutral by 2060. According to data from the University of Cambridge, Bitcoin miners consume about 111.5 Terawatts per hour in a year, equivalent to the total electricity consumed in the Netherlands. On Monday, the Chinese regulator held a meeting to emphasize the task of strengthening the supervision of blockchain platforms, VPN (virtual private network) services and cross-border technologies with gambling elements. . China is taking over the world’s largest Bitcoin mining capacity. (source: Cambridge University) China currently accounts for about 65% of global Bitcoin mining capacity, according to the University of Cambridge. Among them, the regions of Xinjiang, Sichuan and Inner Mongolia currently account for the largest capacity. Qinghai province ranked ninth, accounting for about 0.26% of total capacity. The Inner Mongolia region began cracking down on miners in February and shut down 35 mining companies at the end of April. Sichuan is currently the most neutral place when it comes to hydroelectricity instead of coal mines and no new policy has yet been introduced. Outside of China, miners are actively looking for new homes. The President of El Salvador has officially recognized Bitcoin as a legal currency and promoted the mining of this virtual currency using geothermal energy from volcanoes. Phuong Nguyen (according to SCMP)

Huawei’s pivot to software comes as its smartphone business has seen sales decline because of the aforementioned restrictions. On the other hand, behind Huawei’s push into software is also an attempt to isolate potential geopolitics and any other regulation from the US. Huawei hopes to expand the software sector in its future revenue structure Accordingly, Arcfox, a brand under the automaker BAIC Group, has launched a car with Huawei’s car technology. It is known that this new model owns a cockpit equipped with the HarmonyOS operating system launched by Huawei in 2019. Huawei has also advertised its HarmonyOS can work on various devices from smartphones to TV and car. As such, Huawei will not manufacture cars, but instead will focus on technology to power the cooperating car manufacturers. At the same time, on April 25, Huawei launched a number of new cloud computing products to challenge rival Alibaba in this segment. In a press release the same day, Huawei said it expects its focus on cloud computing to increase its share of its software and services business in the group’s total revenue. In pursuing sectors such as vehicles and cloud computing, Huawei will face challenges from some of China’s biggest tech companies. Such as Alibaba, Tencent are the leading companies in the cloud computing market in China. Baidu or Xiaomi are also “expanding” in the vehicle market. Therefore, Huawei’s decision to redirect takes a lot of time and resources. According to Neil Shah, research director at Counterpoint Research, “Huawei is doubling down on its transition to a software, cloud and services company. development just like Google “.

On the evening of April 21, Baidu Baike issued a statement on Sina Weibo, stating that the two recent edits of this entry were all normal news event completions and incorrect content corrections. There is no “hiding what is hidden from the media “, “Internal help to change the resume” and other situations. None of the historical editions described his work experience at CCTV, Baidu, and Renren as described by the media.

The full text is as follows:

1. Baidu Baike is an open platform, everyone can edit it. After investigation, the entry “Tao Lin” has been edited twice recently, and the editing account is a user of the Baike platform, not an internal employee of Baidu.

2. The two recent edits of this entry are all normal news event completions and incorrect content corrections, and there is no such thing as “hiding what” and “internal help to change the resume” as described by the media.

3. Baidu Encyclopedia welcomes everyone to supervise at any time, and please do not spread rumors.

   Attachment: the historical version of the entry “Tao Lin”

   It has been revised twice recently, and the revisions were passed at 19:17 on April 19th and 16:29 on April 21st (the revision time shown in the screenshot is the time when the user submitted it).

   

① Check the historical version function of Baidu Encyclopedia, the revision on April 19 added the content of the entry character’s recent response to the auto show rights protection incident;

② The amendment on April 21 added “Sla” to “Tesla” in the original entry.

There are 10 historical versions of the encyclopedia entry “Tao Lin”. After investigation, none of the historical versions described his work experience in CCTV, Baidu, Renren, etc. as described by the media.

Each modification of Baidu Encyclopedia’s entry will retain the historical version, and use the blockchain technology to store the evidence. The “documentation information” cannot be manually modified later. Encyclopedia users with an encyclopedia level of 4 and a pass rate of over 85%, as well as professional users with an encyclopedia level of 6 and a pass rate of over 85%, can use the historical version comparison function to view all historical versions of entries.

Baidu Encyclopedia

April 21, 2021

The above move made many Koreans angry. They think that the land of ginseng is the home of this chicken dish, Korea Times reporting. According to the Korea Rural Development Bureau, the people of this country have been cooking chicken with ginseng stew since at least the Joseon period. This dish is favored by wealthy Koreans and became popular with the popular class after the 60s. Chicken ginseng stew is the next dish in the Korean-Chinese internet copyright controversy. Photo: Getty. Sungshin Women’s University professor Seo Kyung-duk said he sent a complaint email to Baidu, asking for information to be modified about the dish. According to Professor Seo, China does not even use the HS (Harmonized System – the code to classify the goods according to the list of import and export goods) or the international name for the ginseng stewed chicken, while Korea uses the 1602.32 range. 1010. This is not the first time that netizens of the two countries have argued over copyrights of famous dishes. In early December 2020, the sheet Global Times China’s pickles reported that its sour food was ISO certified and said that ISO “is the international standard for kimchi manufacturing that China leads”. Kimchi, rice cakes used to be a controversial dish about copyright between the two countries. Photo: Getty. In China, this dish is called Pao cai, made from cabbage, mustard stalk, long beans, chili, carrot and ginger. According to the The Guardian The fact that the newspaper mentioned the word “kimchi” made Koreans think that China was trying to make kimchi its own. Last January, the controversy continued with the advertisement of Professor Seo Kyoung-duk posted on the page. New York Times. Accordingly, he gave many evidences and arguments to prove that kimchi originated in Korea to oppose China. By February, Korean-Chinese netizens continued to give evidence proving that the rice cake came from their country. Specifically, Chinese rice cake called niangao, is made from crushed rice and has toughness and toughness. In Korea, tteokbokki, literally translated as “fried rice cake” is a popular Korean street food made from small garaetteok. Garaetteok is a type of rice cake that is long, cylindrical, and usually much chewier than the Chinese version.

Xu Dan

2021-04-16 12:32:10

Source: Times Finance

After Tucson is listed in the future, the commercial vehicle autonomous driving market in which it is located may also enter the eve of large-scale landing. Image source: Tuworm Creative At a time when passenger car autonomous driving is not yet mature, the field of truck autonomous driving has given birth to “the world’s first autonomous driving stock”. On April 15th, Eastern Time, the self-driving truck brand “Tucson Future” officially landed on Nasdaq. The opening rose by more than 3%, and the opening price was US$40.25, slightly higher than the IPO price (US$40), but it began to fall after rising to US$41.5, and closed at US$40 on the day, which was flat compared to the IPO issue price. It is foreseeable that after Tucson is listed in the future, the autonomous driving track will be sought after by more capital, and the commercial vehicle autonomous driving market in which it is located may also enter the eve of large-scale landing. In response to more issues related to future business planning after the listing, Times Finance tried to contact Tucson Future, but as of press time, no response has been received. Is the “first share of autonomous driving” worth US$8.787 billion? The autonomous driving track is divided into the passenger car market and the commercial vehicle market. The former, such as Baidu, Didi, etc., directly face C-end consumers, with Robotaxi as the final commercial landing scene; The specific business scenario is unmanned autonomous driving. Tucson Future was established in 2015. In the future, it will mainly provide customers with computer vision-based commercial L4 autonomous driving solutions, high-speed scenes and unmanned transportation solutions for container trucks in the port. Headquartered in Shanghai, with branches in the United States and Beijing, the main market is currently in the United States. Tucson’s future business model has been relatively clear. In July 2020, it launched its own driverless freight network “AFN”. The ecosystem consists of fully automated semi trucks, high-definition digital map routes, strategically placed terminals, and a cloud-based proprietary autonomous operation supervision system TuSimple Connect. composition. Based on this network, Tucson’s future service models mainly include three types:

Cooperate with the shipper. In the future, Tucson will use its own unmanned vehicle fleet operating in an unmanned network to provide shippers with unmanned freight services calculated by mileage.

Cooperate with the carrier. Carriers can purchase driverless trucks, operate them in the driverless freight network, and connect to Tucson’s future driverless systems when necessary.

Fleet. Fleet owners can buy and operate their own fleet of driverless trucks. These unmanned trucks will operate in the unmanned freight network according to the mileage-calculated charging mode.

Since its establishment, Tucson has gone through 10 rounds of financing in the future, and the disclosed amount of E-round financing is 350 million yuan. In addition to the founding team, Tucson’s future largest shareholder is Sina affiliate Sun Dream Inc., which accounts for 20% of Class A shares.

As the first stock of autonomous driving, what is the market value of 8.49 billion U.S. dollars? “From the perspective of Tucson’s current financial indicators such as revenue and profit, as well as its commercialization capabilities, the market value of US$8.49 billion is relatively high. However, Tucson’s future track will have high growth, and market competitors will be relatively If there is less, there is more room for imagination in the future.” Major General Ding, an IT Internet observer, told Times Finance and Economics.

The capital market has always valued autonomous driving very high. Both Baidu Autopilot and Waymo are currently valued at around US$40 billion. However, the market for autonomous driving passenger cars is very large, and the non-commercial vehicle market can match them.

Compared with its peers, Pony Zhixing, which is also on the truck autonomous driving track, is valued at more than US$5.3 billion after the latest round of financing, and Zhijia Technology is valued at US$1 billion. Tucson’s current market value can be regarded as the leader in the future. .

From the point of view of the track, Tucson’s future potential is indeed relatively large. According to an Essence Securities report, the traditional freight truck market in the United States is as high as 800 billion U.S. dollars, with high labor costs, accounting for 43% of operating costs per mile, and the problem of aging drivers is serious. 54% of commercial truck drivers are 45 years of age or older. There is a strong demand for autonomous driving technology.

However, in terms of specific operating conditions, US$8.49 billion may be more “paying for the future.” From the perspective of revenue, Tucson will always be at a loss from 2018 to 2020, with net losses of US$45.03 million, US$84.883 million, 177 million US dollars, a total of about 2 billion yuan. And Tucson said in the future that “a lot of expenses and continuous losses will be incurred in the foreseeable future.

From the perspective of commercialization capabilities, Tucson has not yet achieved mass production in the future. The prospectus discloses that it will cooperate with Navista and Volkswagen’s Traton for pre-installation and mass production to jointly build and deliver L4 unmanned trucks. At present, the vehicle has received 5,700 pre-orders and will be put into production in 2024 as planned .

Before mass production, the level of hardware reliability is not enough, so Tucson’s future half-car test vehicle still needs to be equipped with safety officers and drivers before it can go on the road.

Who is the second “Tucson Future”?

“Like the United States, it is difficult for the passenger car market to give birth to the next Tucson in a short period of time. The commercial sector is still the direction that domestic auto-driving related companies should pay attention to and make efforts.” Major General Ding said.

The passenger car autonomous driving market is vast. Most of the players entering the game are Internet companies with strong capital. Although there have been preliminary results, companies such as Baidu and Didi have already begun road tests, but they are still far from commercialization. The process is difficult.

From the perspective of the technical route alone, the domestic car-road coordinated route is still in the early stage of equipment laying, and it is far from reaching the level of mutual perception between cars and roads and other vehicles. Moreover, the current domestic laws on autonomous vehicles are basically in a blank state.

Foreign “smart bicycles” models are also full of difficulties. Earlier this month, the CEO of waymo, a leading autonomous driving company, resigned. According to foreign media reports, internal employees said Waymo did not have much direction inside, technology stagnated, and senior leaders set goals. unrealistic.

In contrast, self-driving commercial vehicles do not carry people, involve fewer safety issues, and the road conditions are relatively simple and fixed, and are easier to commercialize. The current domestic commercial vehicle autonomous driving fields are mainly truck freight and mines.

In the field of truck freight, Zhijia Technology and Xiaoma Zhixing have respectively completed D round financing and C+ round financing, and become unicorn companies. Among them, Zhijia Technology has introduced Guotai Junan International and Hedosophia as investors, both of which can provide Its listing assists, and according to media reports, it is in the process of SPAC merger negotiation in order to go public through backdoor. However, like Tucson’s future, both have not yet achieved mass production.

However, compared with the American truck freight market, the domestic truck freight market is not mature yet. Chen Mo, the founder of Tucson Future, once publicly mentioned the reasons for prioritizing the development of the American market.

First of all, there are only test licenses in China, and operations are not allowed. If trucks do not have an operating license, they cannot transport goods and cannot be profitable; in the United States, the cost of freight hardware is declining, and labor costs are rising, but the country has not yet reached the intersection; unmanned driving needs to be combined with drop-and-hook and box-drop transportation. Mode (after arriving at the transportation point, the tractor can drop the carriage and hang another carriage, which can shorten the stop time to a minimum), but many domestic trucks and trailers are integrated, and the drop-hang and drop-box rate not enough.

There is also great potential for autonomous driving in mines, with huge market space and high risk, difficulty in recruiting drivers, and strong demand for unmanned operations. According to Chentao Capital’s calculations, the total annual market size of domestic mine autonomous driving exceeds 100 billion.

Domestic mining autonomous driving solution providers are dominated by start-up companies, because mining operations are complex systems engineering, which not only require autonomous driving technology, but also dispatch and fleet management, and Internet of Vehicles communication technologies. Therefore, domestic large-scale equipment companies tend to cooperate in-depth with driverless start-up companies.

Tage Zhixing, a leading company in this field, was established in 2016 and has now completed 8 rounds of financing. Its founder and chief scientist Yu Guizhen stated that it is confident that it will be listed on the Science and Technology Innovation Board within 1-2 years.

However, according to Chentao Capital’s analysis, mining autonomous driving companies are still in the initial stage of commercial trial operation and field deployment testing. The work efficiency of autonomous driving has not yet been equal to that of manual driving, especially night operations have not yet carried out normal operations. Although many companies have received commercial orders, most of them are pilot projects and have not yet participated in the normal production operations of the mine.

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ByteDance, Baidu and CTrip are committed to ensuring fair competition. Photo: Reuters More than 20 leading Chinese technology companies have publicly pledged to adhere to antitrust principles, after regulators asked them to pay attention to the record penalty for the “giant” e-commerce. Alibaba. In a series of separate statements published by the China Market Regulatory Authority on April 14-15, some of the country’s biggest tech brands – including ByteDance, Baidu and CTrip – pledged will “ensure fair competition”, “do not abuse a dominant market position” and “do not conduct unfair pricing practices”. The pledges come after regulators summoned 34 technology companies on April 13 and asked them to “rectify” any unfair non-competitive practices, and pay attention to in the case of Alibaba. Companies have one month for full reform, after conducting internal audits and adjusting practices that compromise fair competition. Ride-hailing service Didi, video streaming platforms Kuaishou and Bilibili, as well as e-commerce company JD.com were among the parties that have made a public commitment since that meeting. JD.com said it will not force “choose one of the two” behavior on its retailers – where merchants are required to work on only one platform, not on a competitor platform. . This is the policy that Alibaba used to apply. In its statement, Didi pledged that unless necessary for regular business operations, the company will not illegally collect or misuse customers’ personal information. Last weekend, Chinese regulators fined Alibaba up to $ 2.78 billion after a months-long investigation found the company abused its dominant position in the market. Alibaba and JD.com, along with games and messaging app giant Tencent, have greatly benefited from the increasingly technological lifestyles in China and the absence of major U.S. competitors. But as these platforms with hundreds of millions of regular users are growing, public opinion is increasingly concerned about the problem of user data that these companies collect over the long term. According to observers, China has put domestic technology companies on the target to limit the reach of private companies to the daily financial activities of its people. That move could curb their dominance.

The online drinking trend has sparked controversy in China, attracting millions of followers, despite the serious health effects of those challenged.

Although it appeared a few years ago, the trend of live-streaming the drinking scene of all kinds of beer has only emerged since the beginning of last year in China.

In 2019, a man died after recording himself drinking alcohol mixed with cooking oil every day to receive donations from the online community.

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After a ban on online drinking last year, some Chinese streamer saw drinking alcohol as a way to get famous and make money. Photo: Baidu

A famous female streamer from Inner Mongolia, named Duoduoqimuge, drank 5 bottles of 620ml beer in one go. Some people drink up to 10 500ml bottles of high alcohol in a single stream. As a result, many people vomit or even lose consciousness right in front of the camera.

Chinese authorities have issued a ban on innocent eating videos to encourage people to run out of food.

Some streamers who were suspected of whether they were drinking real wine proved to the audience by lighting a fire, now streamers before the drinking challenge had to do so.

In an editorial published earlier this week, the Nhan Dan Daily suggested that the live broadcast of the drinking scene should be completely banned.

“This form of streaming stems from the view competition among streamers. This approach is really in exchange for money for their lives, “the newspaper said.

Someone even poured many bottles of wine into a large bowl and then drank them to attract viewers. Photo: Baidu

Li Yan, a cardiologist from the Oriental Hospital of the Chinese Medical University of Beijing, said that compared with overeating online, the tendency of innocent drinking causes more harm to streamer. .

“The damage from binge eating is temporary, like enlarging their stomachs,” Li told Beijing News. our bodies, especially those with high blood pressure, diabetes or high blood cholesterol “.

According to the Chinese Dietary Guidelines, a man should not drink more than 25 grams of alcohol per day, while women’s intake should not exceed 15 grams.

Northern Hiep

According to SCMP