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Electronic Enthusiast Network reports (text/Li Ningyuan) The rapid development of the robot industry has spawned various types of robots, which are subtly changing our daily life and production methods. In order to speed up the application and expansion of various robots, the concept of "robot+"came into being.

On January 18th this year, the Ministry of Industry and Information Technology and other 17 departments issued the "Implementation Plan for Robot+Application Action", which pointed out that by 2025, the density of robots in manufacturing industry will double compared with that in 2020, and the application depth and breadth of service robots and special robots have been significantly improved, supporting some emerging fields to explore and develop robot applications.

Constantly released robot market potential

According to the data given by IFR and the Chinese Institute of Electronics, we can see that the domestic robot market has been in a steady growth trend, from $7.7 billion in 2018 to $17.4 billion in 2022, with a compound annual growth rate of more than 20%. According to the forecast of the Chinese Institute of Electronics, the domestic robot market is expected to reach the market scale of $25.1 billion in 2024. The rapid growth of the whole industry provides sufficient market space for the continuous and in-depth application of various robots.

In terms of subdivision types, industrial robots are undoubtedly the most widely used and covered robots at present. According to the data of IFR and Chinese Institute of Electronics, the global industrial robots began to return to strong growth in 2021 and 2022 after the market scale declined in 2019 and 2020. In 2022, the global industrial robot market was close to 20 billion US dollars. China’s industrial robots have maintained a steady growth rate. In 2021, the market size of China’s industrial robots is about 7.5 billion US dollars, accounting for 43% of the world. It is estimated that the market size of China’s industrial robots is expected to reach 11.5 billion US dollars in 2024.

Service robots rely on the popularity of artificial intelligence, cloud computing, big data, Internet of Things and other technologies, and the downstream functional scenarios are constantly expanding. According to the data of Chinese Institute of Electronics, the global service robot market will grow from 13.8 billion dollars in 2020 to 21.7 billion dollars in 2022, and it is expected to reach 29 billion dollars in 2024. From the domestic market, the market growth rate of service robots is faster, with a compound annual growth rate close to 30%. In 2022, the market size of domestic service robots is close to 7 billion US dollars, and it is expected to exceed 10 billion US dollars by 2024.

In recent years, we can always hear some new progress of rehabilitation robots and medical robots in the market, which really reflects that special robots have begun to be applied in a deeper level under the stimulation of emerging needs such as medical needs, agricultural needs and nursing rehabilitation needs. According to the forecast of the Chinese Institute of Electronics, the market size of China’s special robots is expected to exceed 3.4 billion US dollars in 2024, and the domestic growth rate in the same period is also above the global market growth rate.

Intelligence in the development field of "robot+"

The "Robot+"Application Action Implementation Plan "delineates a total of 10 economic fields and social and people’s livelihood fields for the in-depth application and development of robots. The fields of economic development are manufacturing, agriculture, construction, energy and trade logistics, and the fields of social livelihood are medical health, aged care services, education, business community services and safety emergency applications.

In the action implementation plan, one word has been mentioned many times, that is, "intelligence", and key words such as intelligent transformation, intelligent transformation and intelligent system construction have been mentioned many times. Intelligence is undoubtedly the most important link in the development of all kinds of robots around the concept of "robot+"in the future.

The intelligence of robots is closely related to AI chips. The rapid development of intelligent robot applications and algorithms, such as deep learning, convolutional neural network, image recognition, voice recognition and intelligent perception, put forward 2-3 orders of magnitude performance optimization requirements for AI chips. Thanks to the rapid development of new materials, processes and devices, such as 3D stacked memory and process evolution, it also provides the AI chips with the feasibility of significantly improving performance and reducing power consumption.

In the future, robots can foresee that there will be a large number of data computing and intelligent interaction needs, and the chip itself needs to have high throughput, programmability, expansibility and high memory and bandwidth. With the increasing demand for AI processing and intelligent interaction, SoC has become an inevitable trend of development. Technavio, a market research organization, also shows that the SoC market will be mainly driven by robots and 5G fields in the next few years.

AI chips are embedded in the robot system in the form of SoC, which can not only optimize the local performance of applications such as video processing and intelligent sensing interaction, but also make it easier to systematically optimize the overall architecture of the robot.

Write it at the end

The "Robot+"Application Action Implementation Plan also mentioned that it is necessary to build a number of benchmark enterprises for robots+applications in the upstream and downstream of the industrial chain to support the development of the robot industry in all directions. With the blessing of national policies, domestic robot applications are being developed into in-depth and diversified applications, and the robot market that constantly releases potential will also drive the upstream and downstream of the domestic robot industry chain into a new stage of development.

With the in-depth development of modern information technology, the health care industry has also set off an upsurge in the application of automatic dialogue robots and AI technology. According to Accenture research, by 2026, artificial intelligence technology will save 150 billion dollars for the health care industry every year. The medical care technology combined with AI can help doctors improve the efficiency and accuracy of diagnosis. Doctors can diagnose and treat multiple patients at the same time by using the analysis and diagnosis data of AI.

Barriers of medical information system need to be broken through urgently.

In the era of intelligence, there is still a lot of room for upgrading the traditional medical information system. At present, the weaknesses of the medical industry information system are mainly concentrated in three aspects:

Difficulties in data collection;
The scope and quality of data collection;
Application degree of automation and intelligence.

For a long time, the whole process of information integration in the medical field has been centered on manual labor, and many medical institutions still face problems such as isolated islands of information systems and fragmentation of medical information.

With the increasing number of people in need of medical assistance, medical institutions will face more severe challenges when purchasing and integrating information from various internal and external sources, such as clinical applications, laboratory systems, insurance portals and many other different systems.

Usually, due to the large and complex medical data, medical staff will waste almost half of their time on data entry, which is inefficient and prone to errors.

Automatic dialogue robot can help medical staff reduce repetitive, time-consuming and trivial data handling, and realize the automation of data entry, migration, cleaning and integration.

For example, migrating medical record data from the old medical record system to the new medical record system; Acquire that data of each business system and then performing comparison conversion accord to the corresponding coding table of the country; Automatically fill in the data of one business system to other business systems; Obtaining and summarizing the data of each system can not only improve the efficiency and accuracy, but also give medical staff more time to treat patients and return to their profession.

The Spanish media "World Sports News" issued a document to support Messi: Nowadays, public opinion is more and more like to belittle football superstars, and fans are more and more inclined to belittle the most respected football legends. When Juventus lost in the Champions League and then lost the dominance of the Serie A championship, Cristiano Ronaldo was badly sprayed. Although Messi won the World Cup a few months ago, he is now facing a similar situation.

Although Messi’s recent record in the knockout stage of the Champions League is not good, he is still one of the most successful stars in the history of the Champions League. Of course, we can also admit that he was quite bad in the game against Bayern, but it doesn’t mean that everyone should belittle and disrespect Messi.

Why is it that just pointing the finger at Messi will make Dali miss a bigger vision? First, Messi has performed well this season. After a mediocre first season in Paris, Messi has returned to the peak under the guidance of Garti. Messi has contributed 13 goals and 12 assists to Paris Saint-Germain, averaging 3.4 dribbles and 2.5 key passes per game. It is undeniable that Messi has returned to his best in the 2022/23 season. In addition to his performance in the World Cup, his performance in the club is also surprisingly excellent. His data in all periods of attack are top-notch. His wonderful performance is as amazing as ever, and his decisive contribution makes him the biggest favorite of the Golden Globe Award.

Second, what is the problem with Greater Paris? The problem is in midfield! If Messi is so good, so are Neymar and Mbappé when they are healthy-then why is Paris Saint-Germain so mediocre? Why were they eliminated by Bayern Munich in the Champions League? Fabian Ruiz has shown countless times that he is one of the most disappointing signings of Barley. Messi and Mbappé both played in isolation, and the whole team played in pieces.

Third, Messi is in Paris Saint-Germain, just like Cristiano Ronaldo is in Juventus! Before Cristiano Ronaldo joined, it was a pity that Juve reached the Champions League finals twice in the past five seasons and lost to Barcelona and Real Madrid. Therefore, it sounds reasonable for Juve to think that by signing Cristiano Ronaldo, they can win the Champions League by themselves. However, the result obtained by Juve is similar to that of Paris now. The dilemma of Juve lies not in Cristiano Ronaldo, but in the fact that a club has made a serious mistake in team building, invested heavily in building a superstar and fantasized about winning the Champions League, which is doomed to failure!

Messi is also in the same situation in Paris Saint-Germain. When signing Messi, Greater Paris thought that the most powerful trident in the universe composed of Messi, Neymar and Mbappé would cover up these problems. The Galaxy battleship built by Real Madrid 20 years ago still can’t win the Champions League because football doesn’t work like this. Messi was singled out as a scapegoat, which is unfair. Renato Sanches and Fabian Ruiz are both talented players, but they are not the players that Barley needs to sign in 2022/23.

Red Net News March 10th(Correspondent Tian Youye) On March 8th, the promotion meeting of the pilot area for large-scale application of "Artificial Intelligence Course in Central Library" and the summary meeting of the results of "Educational Social Experiment under the Condition of Artificial Intelligence in Hunan Province" hosted by Hunan Intelligent Classroom and Education Big Data Research and Development Center were held in Tianhua Primary School in Shazitang, Yuhua District, Changsha City.

Huang Xuguang, director of the subject education department of primary and secondary schools in the Education Technology and Resources Development Center of the Ministry of Education, and Sun Mo, deputy head of the artificial intelligence education working group of primary and secondary schools in the Central Audio-visual Education Center, attended the meeting. Among them, leaders of Hunan Audio-visual Education Center, Hunan Intelligent Classroom and Education Big Data Research and Development Center, Hunan Computer Society, Hunan Computer Society Basic Education Professional Committee, Changsha Yuhua District Education Bureau, Hunan University of Science and Technology and other 44 first batch educational social experimental units in Hunan Province and typical case schools in Yuhua District of Changsha attended the meeting.

The meeting was hosted by Hu Chao, deputy director of Big Data Research Institute of Central South University and Hunan Intelligent Classroom and Education Big Data Research and Development Center.

Zhang Xinwei, secretary of the Party Committee and director of the Education Bureau of Yuhua District, Changsha City, introduced in detail the digitalization of education in Yuhua District, such as building a model school of smart campus, building an artificial intelligence laboratory, setting up a gold medal lecturer group of smart education, and cultivating "discipline+artificial intelligence" double-qualified teachers.

Huang Xu Guang, director of the subject education department of primary and secondary schools in the Education Technology and Resources Development Center of the Ministry of Education, interpreted and deployed the pilot work plan for the large-scale application of the "Central Library Artificial Intelligence Course", and introduced the specific measures of the Central Library from three aspects: selecting pilot areas (including pilot schools), collecting artificial intelligence education and teaching lessons in primary and secondary schools, and selecting artificial intelligence education trainers and training bases in primary and secondary schools, which gave guidance for the normal, large-scale and high-quality application of the "Central Library Artificial Intelligence Course" in all pilot schools. Sun Moxuan, editor of the Education Technology and Resources Development Center of the Ministry of Education (Central Audio-visual Education Center) and deputy head of the Working Group on Artificial Intelligence Education in Primary and Secondary Schools of the Central Audio-visual Education Center, read the list of pilot areas (including pilot schools) for large-scale application of the "Central Library Artificial Intelligence Course". Eighteen units, including Shazitang Tianhua Primary School in Yuhua District, Changsha City, became the first batch of pilot areas (pilot schools) for large-scale application of "Central Library Artificial Intelligence Course" in Hunan Province.

Long Jun, Dean of Big Data Research Institute of Central South University and Director of Hunan Intelligent Classroom and Education Big Data Research and Development Center, introduced the center’s educational social experiment work under artificial intelligence conditions in recent two years, actively explored the multi-unit joint promotion mechanism, built an artificial intelligence education standard system, organized experts to comprehensively review the first batch of experimental units of educational social experiments under artificial intelligence conditions in Hunan Province, held the first plenary work seminar of experimental units to further clarify the specific requirements of educational social experiment work under artificial intelligence conditions, and conducted in-depth investigations on the results of experimental areas and experimental schools; In order to fully display and promote the successful experience of the experimental area and experimental school in the integration and innovation of social practice of artificial intelligence education, the center carried out the exhibition and exchange activities of social practice achievements of artificial intelligence education in 2022, focusing on the typical cases of social experiments of artificial intelligence education; The center will continue to carry out cutting-edge scientific and technological research around smart classrooms and educational big data, promote key technological breakthroughs, organize technical product experiments, and build an intelligent, interactive and personalized future education system.

Shazitang Tianhua Primary School, as the first batch of pilot areas (schools) for the large-scale application of the "Central Library Artificial Intelligence Course", was awarded the "Hunan Postgraduate Training Teaching and Research Base". At the meeting, it was announced that the College of Education of Hunan University of Science and Technology was approved as the "Joint Training Base for Postgraduates in Hunan Province" and awarded the license.

The conference presented awards to the winners of the 2022 "Chinese Dream-Action with Me" series activities of the Education Technology and Resources Development Center of the Ministry of Education and the winners of the 2022 exhibition of educational social experiment results under the condition of artificial intelligence in Hunan Province.

At the end of the meeting, the leaders exchanged views, thanked the Education Technology and Resources Development Center of the Ministry of Education for their concern and support for Hunan’s education work, congratulated the award-winning works and units, and encouraged all experimental districts and schools to focus on the key work of educational digitalization, take advantage of the situation and achieve more fruitful results.