Computing power think tank
What's the most expensive in the 21st century? It could be blockchain talent
Zhang Yan (pseudonym), who graated from a 211 university in Shanghai with a master's degree, began his internship in a blockchain company this summer, mainly responsible for the collection of instry information. During the internship, his salary is 8000 yuan, and after becoming a regular, his monthly salary will reach 22000 yuan
Zhang Yan's starting salary is much higher than that of fresh graates' first employment. According to the statistics of Shanghai human resources and Social Security Bureau, the average monthly salary of college graates with bachelor's degree is 4793 yuan, and that of graates with master's degree or above is 8001 yuan
according to the analysis of instry insiders, at present, there is a high shortage of talents in the instry, few talents meet the recruitment requirements, and the imbalance between supply and demand leads to a high premium of talents. It is expected that in two to three years, when the blockchain technology is applied and fully blossomed, the relationship between supply and demand in the market will enter a stable stage
how expensive are blockchain talents
"our recruitment has not been smooth. We may have 5-8 people in a quarter, which can only reach 20% of our expectation." Deng Xu, the founder of Yunxiang blockchain, has been hoping to rapidly expand the team to a team of 100 technicians, but he is struggling to find suitable talents
recruitment information of a company
"my ideal blockchain talents mainly have two standards, one is computer foundation, the other is algorithm foundation." Deng Xu said
according to Yan Li, founder of computing power think tank, there are three types of blockchain talents:
first, in terms of content research, most of these talents were originally engaged in financial information, traditional research and other jobs, and after one to two months of training, they can start their jobs
the second is proct technology development, which requires mature computer technology talents, such as research on underlying data development, data storage and so on. They need to redistribute their work areas in the blockchain scenario, and they can adapt to the post demand after two to three months
the third is the refiner of proct requirements, which is the most difficult person to find. They need to understand the business logic of blockchain, dig out pain points, and understand technology, so as to connect the customer's needs with the ability of technical developers
Shang Yang, an analyst of yiou think tank, also pointed out to Zhongxin Jingwei that the essence of blockchain is a distributed encrypted database, and the core idea is decentralization. Blockchain is evolved from bitcoin. Before, there were almost no relevant courses in Colleges and universities, so today's practitioners of blockchain technology are mostly self-taught. Objectively, all those with computer professional background have the conditions to learn. But technology is not the key, the key is to find the appropriate application scenarios. Only in a certain scenario, the data distributed storage can be irreplaceable and bring significant benefits to the enterprise, can it be regarded as a good application scenario, so the application on the chain is still in the exploration stage
"there are too few application-oriented talents," Shang Yang said. The application and transformation of any new technology needs a process. At present, many technicians do not understand procts
According to Deng Xu, there are three main reasons for the shortage of talents in blockchain: on the one hand, the popularity of blockchain is fast, while the number of technicians is small, resulting in the imbalance between supply and demand; On the other hand, blockchain is actually a comprehensive technology, including computer language, algorithm, communication, cryptography and so on. At present, talents trained by colleges and universities generally have only one or two aspects of knowledge reserve. In addition, with the popularity of ICO last year, a large number of new blockchain companies were born, further aggravating the imbalance between supply and demand of blockchainwith the fire of blockchain concept, some colleges and universities began to offer courses, and training institutions also entered the market one after another. Yan Li suggests that top universities with science and engineering majors can continue to give full play to their advantages and cultivate talents for blockchain technology application; In terms of business, it still mainly relies on talents from traditional instries; Social organizations, research centers and other institutions can organize vocational training for talents in the blockchain instry, but good vocational training must last two to three months instead of two or three days of "quick" training
However, Deng Xu pointed out that at this stage, training can only supplement some middle and low-end technical talents for the instry, but it can not solve the problem of high-end talents. Shang Yang also pointed out that universities with relevant courses are also facing the problem of retaining teachers“ On the one hand, it's easy to be poached by enterprises. On the other hand, most people who really understand technology and application choose to open their own companies or speculate in money. ""blockchain technology is the closest technology to money, so many people can't concentrate on technology, and the technology is very complex and boring." Deng Xu said
content source observer network
About
} are black sesame CEO and coo Liu Weihong
black sesame CEO. Previously, he was a member of the founding team of omnivision, a global vision chip leader. He has worked in Silicon Valley chip instry for more than 20 years and has rich experience and technology accumulation in image processing chip and software algorithm
CTO Qi Zheng is the main design member of Intel Pentium II chip, CSO Zeng Daibing is the chief engineer of ZTE microelectronics, and coo Liu Weihong was the president of chassis and control system division of Bosch China ADAS
because of its strong R & D team, heima, a start-up company, can make the ADAS chip huashan-1 A500 within three years and launch it in mass proction. This year, it will launch huashan-2 a1000 chip and launch the fad automatic driving platform
since the beginning of this year, if new cars are not equipped with L1 / L2 automatic driving, they are "embarrassed to sell", the popularity of automatic driving is rapidly increasing, and the higher level of L3 or even L4 automatic driving is on the eve of mass proction, and the demand for automatic driving chips and computing platform solutions in the instry is explosive growth. The market scale of autopilot chips alone is expected to reach trillion US dollars, becoming the largest single market in the semiconctor instry
Therefore, it is right time for fad to enter the automatic driving marketin August this year, FAW Intelligent Network Development Institute reached a technical cooperation agreement with heima. FAW Intelligent Network Development Institute will start the development of intelligent driving platform based on huashan-2 a1000 to meet the demand of subsequent mass proction models. The two sides will jointly promote the application of artificial intelligence technology in the automotive instry and accelerate the instrialization of domestic intelligent driving chips
in addition, heima has signed a number of fad fixed-point models, and it is expected that there will be models equipped with fad automatic driving platform on the market next year. In addition, many enterprises at home and abroad have begun to test fad automatic driving platform, and the test vehicles have been on the road
the great success of black sesame in automatic driving chip and domain controller makes instry research institutions begin to pay attention to this start-up company which has just been established for more than four years. In April this year, cbinsights, one of the strongest think tanks in Silicon Valley, released the list of Chinese chip design enterprises. Black sesame was listed in the field of vehicle chip, becoming one of the top 65 Chinese chip design enterprises
in July this year, black sesame Huashan No.2 a1000 chip also appeared in the world artificial intelligence conference, together with pingtouge, Yitu, Cambrian and other high-end artificial intelligence chips
it can be said that after more than four years of development, black sesame has become the world's leading autopilot chip design company, and even has the ability to compete with the eldest brother in the chip instry. At the same time, the rapid progress of black sesame also promotes the domestic automatic driving chip design to a new level
in the conversation with the two founders, they also revealed a colorful egg. Next year, hei mahjong will release a chip with stronger performance. At that time, the highest computing power of fad automatic driving platform equipped with this chip is expected to exceed 1000tops, and its computing power can be fully automatic driving
this article comes from the author of car home, which does not represent the standpoint of car home
development of SAIC's intelligent connected vehicle
in terms of business landing, Zu Yijie said that the 5g intelligent vehicle demonstration experience area project has been delivered this morning to realize the marketization landing of automatic driving scenes such as high-speed, urban congestion and parking
according to the plan, SAIC will officially launch the L3 level 5g intelligent vehicle marvelr by the end of the year
At the same time, SAIC also plans to complete the transportation task of 20000 standard containers this year“ We have started a small-scale commercial operation, and will strive to complete 200000 standard containers next year, operating according to the actual commercial scenario. " Zu said at the scenein addition to these, SAIC is also laying out around the electronic and electrical architecture, software platform and data platform, so as to build the basic ability of intelligent connected vehicle
4. Didi Mengxing: nearly 40000 people have signed up to experience automatic driving.
Meng Xing, COO of didi automatic driving company, shared some of the work and thoughts of didi automatic driving in the past four years
According to Meng Xing, Didi automatic driving company was established in Beijing four years ago and now has offices in California, Beijing, Shanghai and Suzhou. Shanghai is the most important test operation scenario at presentat the end of June this year, Didi launched the didi automatic driving experience in Shanghai Jiading Auto City. Up to today, the number of applicants has reached nearly 40000
so, how does didi do autonomous driving
Meng Xing said that didi is a travel company. When doing autonomous travel, it takes into account how to integrate traditional travel with autonomous travel. This is also the reason why didi does "mixed distribution"
In addition, Didi thinks that there are three aspects to make automatic driving possible. One is AI, the intelligent ability of the car. One is the need for enough data to fuel AI. Secondly, it is necessary to have travel ecological networkin terms of technical ability, we should first have the ability of full stack. This is because "the relationship between the upstream and downstream of each mole is very close. Only when each mole has its own R & D capability can you iterate fast enough. What we are concerned about today is not the level of each mole or the overall system, but the speed of iteration. " Meng Xing said in his speech
To sum up, Didi's automatic driving business involves three aspects: AI, data and network. In Didi's opinion, only when these three aspects are well done can the automatic driving travel service be considered to be done Yu Kai, founder and CEO of horizon, shared horizon's Thoughts on automotive AI chipsin Yu Kai's view, if we think that in the era of traditional fuel vehicles, the engine is the core competitiveness and the most core component of the automobile. So in the era of software defining automobile, in the era of big data and artificial intelligence, data is oil and energy; And the chip is the engine
At present, the value chain of the whole automobile instry is undergoing profound changes and transformation. In the future, cars will become supercomputers on four wheels. In this process, chip and operating system are very important“ This may be disruptive innovation rather than incremental innovation. ". Yu Kai said at the scene Yu Kai further emphasized the importance of data and data processing abilityin his view, comparing the amount of data collected by waymo and Tesla, waymo can be regarded as an innovation of the Research Institute model. In contrast, Tesla has created a computer connected AI body with complete computing power, algorithm and data, which can be rapidly evolved through the shadow mode. Although Tesla's autopilot capability is not perfect, what's really terrible is its evolution speed
Yu Kai said in his speech, "if it is difficult for other auto companies to keep up with its evolution speed, it will become the definer of the era of intelligent vehicles and the definer of platform, and its control over this instry will surpass that of Microsoft, Intel and apple."
as for the future, Yu Kai believes that there is still a big gap between most of today's automatic driving and the future demand. He predicted that by 2030, smart car chips will become the largest market in the whole semiconctor field. At the same time, in this field, giant computing platform enterprises are likely to be born, and such giant enterprises are likely to be born in China
this article comes from the author of car home, which does not represent the standpoint of car home