580 million yuan! The autonomous driving industry ushered in the largest financing of the year
1. Mogu Autolink completed C2 round financing of 580 million yuan, the largest financing of the year for autonomous driving
According to news from New Energy Vehicle News, China Investment Network and other media on May 6, MOU AutoLink, an autonomous driving technology and operation service provider, recently completed a C2 round of financing of 580 million yuan. Investors include Chengdu Science and Technology Venture Capital, Zhuhai Haiduke Venture Capital, Tencent, Yixin, etc. According to reports, this is the largest financing in the autonomous driving industry this year . So far, the market valuation of Mushroom AutoLink has reached US$3 billion (equivalent to RMB 20.733 billion).
Public information shows that MOU was founded in 2017. In terms of technology, MOU has independently developed the world's first "vehicle-road-cloud integration" L4 autonomous driving system, which has greatly improved the safety of autonomous driving. The autonomous driving standardized product package (MOGO Package) was launched, and the signed projects cover digital transportation, intelligent network connection, vehicle-road collaboration, autonomous driving, etc.
In terms of commercialization, Momogu AutoLink starts from scenarios with real needs. The company uses 2G2B as the entry point and uses vehicle-road-cloud integration technology to realize road digitization, comprehensively improve traffic efficiency and safety levels, and assist the construction of local digital economy; at the same time, Mushroom AutoLink provides intelligent and comfortable intelligent driving vehicle operation services in the fields of public transportation, tourism, sanitation, security and other fields, achieving cost reduction and efficiency improvement for many public services. At present, Mushroom's car-to-car, road-to-cloud integration solution has been implemented in more than 10 provinces and cities, including Beijing, Hunan, Yunnan, Shandong, and Sichuan. The total contract value has exceeded 11 billion yuan, making it the company with the strongest ability to "attract money" in the past two years. one.
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2. German officials confirmed that TSMC plans to set up a factory in Dresden , but the decision has not yet been finalized.
Taiwan's "Business Times" reported on May 6 that German officials confirmed that TSMC plans to build a wafer fab in Dresden, Germany, with manufacturers such as Bosch, NXP, and Infineon. The total amount may reach 10 billion euros (approximately NT$3,400). billion), but it has not yet been finalized. German Chancellor Scholz also recently hinted that TSMC may invest. According to reports, TSMC is currently negotiating with politicians for government support. TSMC can apparently invest 7 billion euros in a new factory in Saxony. If all costs are taken into account, the total could eventually increase to 10 billion euros. According to government sources, the location of TSMC's wafer fab has not yet been finalized.
NXP declined to comment on TSMC's plans to build a factory in Germany, but welcomed any "concrete steps to support the growth of the European semiconductor ecosystem." Infineon also declined to comment on rumors of TSMC building a factory, but a spokesman said that Europe should focus on industrial chips that are particularly important to European manufacturing. Strengthening the semiconductor ecosystem will help improve Europe's technological independence and supply chain resilience. Dresden is the capital of Saxony in eastern Germany. "Saxony Silicon Valley" is the nickname of Dresden's semiconductor cluster. There are 400 local semiconductor-related manufacturers, and chip production accounts for 1/3 of the EU. It is recognized as the largest in Europe. Semiconductor community.
3. Meta poached a professional AI network chip team
NetEase Technology reported on May 6 that Meta hired a professional artificial intelligence network chip team, which has long been developing artificial intelligence network technology for the British chip unicorn company Graphcore. Meta spokesman Jon Carvill confirmed the hiring. Carvill said: “We have recently recruited a number of highly specialized engineers in Oslo to join Meta’s infrastructure team. They have deep expertise in designing and developing supercomputing systems to support artificial intelligence and machine learning in Meta data centers. study."
The move brings additional support to Meta's efforts to improve how its data centers handle artificial intelligence work, as the company grapples with surging demand for AI infrastructure from teams looking to develop new capabilities. On top of that, Meta has now joined rivals like Microsoft and Google in looking to launch innovative AI products. The products promise to generate text, art and other content that resembles real-person creations, an area investors see as the next big growth area for tech companies.
4. Amazon confirms it is investing in generative AI
According to Jiemian News on May 6, an Amazon spokesperson confirmed that the company is forming a team to research AI tools designed to generate photos and videos for merchants to use in advertising campaigns on its platform. The company is investing in generative AI and is "excited about the potential benefits to customers and advertisers," a spokesperson said. Since Amazon began disclosing advertising revenue in 2021, the business has achieved double-digit growth every quarter, bringing Amazon $38 billion in revenue last year. In addition, some giants such as Google also plan to introduce generative AI into their advertising business in the coming months.
5. Microsoft denies cooperating with AMD to develop self-developed processor "Athena"
According to financial news on May 6, people familiar with the matter previously revealed that Microsoft is joining forces with AMD to help the latter expand into the field of artificial intelligence processors. It is reported that the two companies are joining forces to provide alternatives to the AI chip market dominated by Nvidia. People familiar with the matter said that Microsoft provided engineering resources and other support to AMD and cooperated with AMD to develop an independently developed Microsoft processor code-named "Athena". In this regard, Microsoft spokesman Frank Shaw denied that AMD participated in the "Athena" research and development program. "AMD is a good partner, but they are not involved in the program."
6. Tesla’s Shanghai Gigafactory delivered over 75,000 vehicles in April
"Shanghai Securities News" reported on May 5 that according to April wholesale sales data of China's new energy passenger vehicle manufacturers released by the Passenger Car Association (full name "National Passenger Car Market Information Joint Conference"), Tesla Shanghai Gigafactory A total of 75,842 vehicles were delivered in April, a year-on-year increase of 4916%.
Relevant people from Tesla China said that while advertising investment is almost zero, Tesla aims to maximize the cost efficiency of every link. Compared with the speculative short-term profit thinking logic, Tesla makes decisions based on "first principles", allowing it to maintain a comprehensive cost advantage. Because of this, Tesla, after years of R&D accumulation, has surpassed fuel vehicles in areas such as technology, cost, and value preservation.
7. Taiwan, China, successfully developed a quantum encryption communication network
Sina Technology reported on May 6 that multiple institutions in Taiwan, China, recently jointly announced that after two years of hard work, they had successfully developed a quantum encryption communication network to ensure information security. Relevant personnel said that quantum technology has two major development directions, one is quantum computing, and the other is quantum communication. It is understood that multiple local government agencies in Taiwan and academic institutions such as Tsinghua University in Taiwan have jointly promoted a quantum development plan, investing NT$8 billion in research over five years. Currently, a point-to-point quantum communication network is running at Tsinghua University in Taiwan.
负责人表示,量子通信是信息安全的终极手段,台湾一定要做,不止在实验室用。台湾在量子技术研究方面,有17个项目,量子计算领域也在推进。网络则得益于中华电信的光纤网。在台湾清华大学试点后,未来将扩大到新竹地区,并持续推进商业化。台湾清华大学物理系副教授褚志崧表示,量子加密技术是运用量子力学的“测不准原理”,量子两两成对特性,只要窃听A,破坏了彼此的同调性,B就随之改变,因此无论花再多时间计算也无法破解,可达永久加密的目标。
8. South Korea’s three major telecom operators may all abandon 5G deployment in the 28GHz band
Flush Finance reported on May 6 that South Korean operator SK Telecom may abandon the use of the 28GHz frequency band to build a 5G network after failing to complete the number of base station construction as required by the government. According to sources, as of November 2022, SK Telecom has deployed only 1,605 28GHz 5G base stations. However, according to the requirements when it obtained the 28GHz spectrum license, the South Korean operator needs to complete the deployment of 15,000 base stations by the end of this month. However, since April this year, the company has not installed or deployed any new equipment. Considering the actual difference, it can be said that SK Telecom has actually withdrawn from the relevant deployment.
SK Telecom claims that it is almost impossible to use the 28GHz spectrum for B2C services, which also shows that the operator does not intend to complete the deployment amount required by the government. A government official said: "If SK Telecom fails to complete the required number of equipment installations by the end of May, they will need to go through a series of hearings before initiating the spectrum allocation revocation process." Previously, the South Korean government revoked the spectrum allocation revocation process. Spectrum licenses for the 28GHz band used by local operators Korea Telecom (KT) and LG Uplus for 5G deployment were due to insufficient investment and failure to meet deployment requirements.
9. The Korean government proposes to develop its own AI infrastructure
Jiemian News reported on May 6 that in order to prevent data leaks, many large companies such as Samsung have currently restricted the use of AI within the company. It is reported that when the South Korean National Intelligence Service uses the artificial intelligence GPT series in various departments, it requires that no other data be input except public information. The Ministry of Information and Communications and other departments also require employees to adhere to the principles of "not disclosing information" and "not sharing privacy." The South Korean government had previously considered introducing AI digital platform facilities, but considering the current AI trends, it believed that it would be difficult to use AI to process information in public services, and stated that it should independently develop and build controllable AI model infrastructure.
Yoon Chang-hee, chief researcher of the AI Future Strategy Center of the Korea Intelligent Information Society Promotion Agency, said in the report "Directions for the Introduction of AI in the Public Sector Based on Large-Scale Language Models" that national information, including sensitive information, needs to be treated as 'GOV-GPT' 'In the form of independently developing AI models and using command languages to control them, we can establish hybrid solutions to prevent the leakage of sensitive information in the public sector.
10. The global cloud service market will grow by 19% in Q1 2023, which is lower than expected.
Global Network News on May 6, Canalys, a world-renowned market research and consulting organization, recently released data showing that in the first quarter of 2023, global cloud infrastructure service spending increased by 19%, reaching US$66.4 billion. While cloud computing remains one of the fastest growing segments of the IT market, customer investment continues to slow in the face of ongoing macroeconomic uncertainty, with cloud growth falling below 20% for the first time. Leading cloud vendors have been adversely affected, with growth rates declining by approximately 4 percentage points from the previous quarter.
The top three cloud vendors AWS, Microsoft Azure and Google Cloud collectively grew 22% (26% in the fourth quarter of 2022) and accounted for 64% of customer spending in the first quarter of 2023. Industry experts remain optimistic about the performance of cloud computing. They believe that with the new industrial revolution brought about by the rapid iteration of artificial intelligence, the demand for computing power brought about by the development of artificial intelligence by enterprises will further increase the development speed of cloud computing. At present, the field of cloud computing still has high-quality development potential.
11. NIO and NXP cooperate on 4D imaging radar
环球网5月6日消息,恩智浦半导体宣布,蔚来汽车将采用恩智浦汽车雷达技术,包括其突破性的成像雷达解决方案。据悉,恩智浦最新的4D成像雷达解决方案具有远超于传统雷达的强大技术优势,将帮助车辆显著提高前置雷达性能,使其能在高速公路、复杂的城市场景,以及远达300米的距离内识别和分类其他车辆、弱势道路使用者或物体,为汽车用户带来更高的道路安全性和驾驶舒适性。
NXP's imaging radar solutions are part of the radar portfolio and offer seamless performance scalability and software and hardware design reuse across radar platforms. It is understood that NIO’s use of NXP’s 4D imaging radar technology will help NIO achieve high-level intelligent driving functions.
12. iFlytek announced the launch of the iFlytek Spark cognitive model
Sina Technology reported on May 6 that iFlytek today announced the launch of the "iFlytek Spark Cognitive Large Model" and conducted a live demonstration. It is reported that this large model supports multi-style and multi-task long text generation, and can write speeches, storytelling, press releases, marketing plans and other content forms. It can also write according to different article styles. According to Liu Qingfeng, chairman of iFlytek, an on-site introduction, this large model can not only automatically generate content, but also automatically synthesize the generated text content into speech and perform intelligent broadcasting. In addition, it also has multi-level cross-language understanding capabilities, and has reached the industry-leading level in multi-language understanding and error correction capabilities.
In addition, Liu Qingfeng also announced three key milestones for the technology upgrade of large models during the year: on June 9, there will be breakthroughs in open question and answer, multi-round dialogue capabilities will be significantly improved, and mathematical capabilities will be upgraded; on August 15, coding capabilities will be upgraded and The multi-modal interaction capabilities have been improved, hoping to help more partners and developer teams; on October 24, the universal model benchmark ChatGPT will be implemented. Chinese will surpass the current version of ChatGPT, and English will be able to achieve a comparable level, and in Achieve industry leadership in education, medical and other fields.
The content of this article is compiled from New Energy Automobile News, Flush Finance, Business Times, NetEase Technology, Sina Technology, Jiemian News, Global Network, Finance Union, China Investment Network , etc. It is for communication and learning purposes only. If you have any questions, please feel free to contact us. Contact us at info@gsi24.com.
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