Big data, an underlying trend for world development in future, has turned out to be an emerging driving force on optimizing industrial structure aiming at upgrading and transformation in related industries, which is a leverage for social progress and opportunity within grasp.
According to statistics, after its reach of 15 billion CNY, China’s market size of industrial big data, will hopefully experience a vigorous growth this year up to 21.2 billion CNY, which is estimated to rise to 82.2 billion in 2020 when it is expected to see an increase in proportion to 6.64% in the application sector.
Furthermore, one incomplete government figure shows that the number of the relative policies has mounted to 63 at a national level on the development and application of big data. And due to its gradual promotion of the application, it has exerted a civilizing influence on daily life in an all-round way. Education, for example, whose advantages gained by big data not only lie in the mass of it but more in the dependence on its prediction of the study performances of individuals.
Therefore, in the time of big data, it must be more pluralistic in knowledge demonstration with focuses on one’s personality characteristics rather than simply teaching. All these efforts will have consequently led to an improvement in teaching methods turned out to be an up-to-date one supported by advanced information technology instead of the hackneyed approach. That is to say, one shall undertake the responsibility as a teacher to transfer and integrate the knowledge to be spread under the perquisite of keeping learners ‘cognitive competence and knowledge structure in mind.
Besides, the greater efficiency in studying can be enhanced via online education based on big data. Such innovative modes, having eased considerable pressure of teachers’, will have been designed to develop a new pattern of strong interaction between learners and instructors with far more specific learning targets. As a result, all these efforts have led to the further intrinsic value to learning other than mechanical memory
Machine vision is a branch of the rapid development of artificial intelligence. Simply speaking, machine vision is to use the machine instead of the human eye to make measurements and judgments. Machine vision is hailed as the "eye" of intelligent manufacturing and is the key to improving manufacturing productivity and intelligent automation. With the transformation and upgrading of the manufacturing industry and the constant advancement of intelligent manufacturing, the market demand for machine vision product technology is on the rise.
Machine vision mainly refers to computer image recognition which is using algorithm software to identify digital images. A typical machine vision system consists of a light source, a lens, a high-speed camera, a picture capture card and a visual processor.
Data show that in recent years, the global machine vision industry has developed rapidly. The market scale of global machine vision system and parts was $4.2 billion trillion in 2015 and it is expected to be more than $5 billion in 2018.
Machine vision technology is the combination of software and hardware with the main components including cameras, image sensors, visual processing and communication equipment. Visual technology can greatly improve the ability of information acquisition in industrial automation. Information will no longer be simple data of a single dimension but a wide range of large-scale data.
Industry 4.0 is inseparable from intelligent manufacturing, and intelligent manufacturing is inseparable from machine vision. Machine vision is the necessary means to realize industrial automation and intellectualization. Machine vision has the advantages of high degree of automation, high efficiency, high precision and poor adaptability to environment, which will play an important role in the process of industrial automation in our country.
Although our machine vision started late, but carried out very fast. It has become the world's third largest machine vision shopping malls after the United States and Japan. At present, the transformation of manufacturing industry in our country will surely detonate the rapid development of visual image industry.
Artificial intelligence chip can be widely used, such as smart phones, medical health, finance, retail, etc. and it has a huge space for development. With the coming era of artificial intelligence, AI chip is playing a more and more important role.
In recent years, artificial intelligence technology has become the core competence, such as Amazon's smart speaker Echo which can understand verbal commands, Alphabet's Nest security camera which can distinguish between acquaintances and strangers in order to send out alerts. AI has also enabled Facebook to match social posts with advertising.
Recently, China academy released three models of AI chip that can be used for deep learning: Cambrian 1H8 for low power oriented visual scene application, Cambrian 1H16 that has wider generality and higher performance, as well as Cambrian 1M for the intelligent driving.
These three newly released chips use the first international AI instruction set, and have outstanding versatility and efficiency in computer vision, speech recognition, Natural Language Processing and other tasks. Recently, the Cambrian predicted to occupy 30% of the domestic AI chip market in the next two years, and devices, including HUAWEI flagship models, that use their chips are expected to reach 1 billion.
The focus of improving the application mode of AI chips is to build an open-source ecosystem. Only by establishing an open AI ecosystem, can AI technology be integrated with robotics, finance and manufacturing so as to achieve faster development. With the stepping in of the Internet companies and accelerating layout of the chip manufacturers, AI chip is expected to define the IoT and AI ecosystem. Therefore the competition in the AI chip market is going to be particularly fierce. With many players participating in the game, it will present a situation of feudal lords vying for the throne.
With the more widespread use of robots, people are looking forward to its application in fiscal and tax fields. In consequence, the first smart robots specialized for tax services was unveiled in Henan Province.
This smart tax robot, also called “baby tax service provider”, can have a man-machine interaction currently as the version 1.0 of such machine, whose parts are all self-designed except the core chip from Germany.
At the scene, when the staff asked the question "Can the enterprise buy a car, can you debit it?" In spite of the incomplete information, the robot still immediately gave a voice response which was simultaneously displayed with texts on the screen.
Kong Guoqiang, president of the Taxation Institute for Harmonious Public Service, explained that the essential functions of this small and exquisite robot include precise inquiries on policies and regulations, questions and answers on tax-related issues, verification of invoices, massive tax planning cases and video learning. Even when the tax staff are tired, they can also ask her to tell a story or a joke.
Dr. Jin Dongsheng, executive director of China International Taxation Research Association and well-known expert of the State Administration of Taxation, is very optimistic about this intelligent tax-paying robot and holds that it combines accuracy, authority and timeliness.
According to reports, the 2.0 of version of this smart tax-friendly robot, will be able to achieve proxy accounting, auditing, risk control, tax returns and other functions; version 3.0 will do automatic accounting, hedging and tax planning;
It is also expected that the 4.0 version will be realized commercial and taxation bank integration automatic service before 2020.
Smart robots will not only replace the repetitive work of corporate tax and tax agents, such as invoicing, filing tax returns, even the tax department's audit work can also be done. By then, the fiscal and tax staff only need to do some research work, and creative work. Thanks to the development of artificial intelligence, changes will also be brought to college students.
October 9, Eleme.com together with Shanghai Vanke launched a takeaway robot project- Wan-Xiao-E. The project landed in Shanghai Hongqiao Vanke Center, with a robot for the white-collar in the building to provide meal services.
From the appearance, "Wan-Xiao-E" is a robot chassis that can be moved autonomously with three layers of storage space. The largest load is 80KG and can be used for three orders with eight hour of usage per charge. The robot is able to automatically go in and out of the elevator, avoid obstacles, and adapt to a variety of indoor ground environments (floor, carpet, etc.), realizing completely autonomous food delivery. At present, the robot only supports the delivery work on the 7th floor, No.3 building of Shanghai Hongqiao Vanke Center, and the range is growing.
Last month, Eleme.com signed a cooperation framework agreement with Shanghai Vanke including a number of deep cooperation, specialized research and development of intelligent logistics products around the topic of "future logistics, future city".
Eleme.com first unveiled its unmanned drone "E7" in 2017 World unmanned system conference. This UAV, which is the third generation of products developed internally, is able to perform a maximum flight speed of 65 km/h, a maximum load of 6 kilograms, and a full range of 20 kilometers. The mounted delivery box is made of air column material, which is only 485 grams and made it the lightest among similar products while with a volume of 20 liters.
Eleme.com also introduced a voice ordering system which uses the time-saving voice interaction for the ordering process with the help of the intelligent voice equipment. It also includes the functionality of the wake-up system, intention pronunciation, order confirmation and order payment.