-
Categories
-
Pharmaceutical Intermediates
-
Active Pharmaceutical Ingredients
-
Food Additives
- Industrial Coatings
- Agrochemicals
- Dyes and Pigments
- Surfactant
- Flavors and Fragrances
- Chemical Reagents
- Catalyst and Auxiliary
- Natural Products
- Inorganic Chemistry
-
Organic Chemistry
-
Biochemical Engineering
- Analytical Chemistry
-
Cosmetic Ingredient
- Water Treatment Chemical
-
Pharmaceutical Intermediates
Promotion
ECHEMI Mall
Wholesale
Weekly Price
Exhibition
News
-
Trade Service
[ Focus on Chemical Machinery Equipment Network ] On November 7, at the closing ceremony of the 3rd World Forum on Science and Technology and Development, the "Top Ten Scientific Issues for Development in 2021" were released, covering the three major areas of medical care, ecology, and information
.
Among them, the field of information includes four major issues, namely, what is the human brain information processing mechanism and the formation mechanism of human intelligence; how the digital revolution changes the sustainable development model of human society; high-speed and open information dissemination and the impact of machine trust on the future human social structure What is the impact mechanism; in the world being tracked and connected, how people can ensure personal privacy and security in four aspects
.
Chemical machinery and equipment network hotspots pay attention to chemical machinery and equipment.
Among them, the field of information includes four major issues, namely, what is the human brain information processing mechanism and the formation mechanism of human intelligence; how the digital revolution changes the sustainable development model of human society; high-speed and open information dissemination and the impact of machine trust on the future human social structure What is the impact mechanism; in the world being tracked and connected, how people can ensure personal privacy and security in four aspects
.
It can be seen that the Internet age, information society, and intelligent technology have become common issues for mankind
.
With the application of technologies such as the Internet of Things and 5G, a grand digital revolution has swept the entire society
.
Technology blessed the industry and gave birth to more intelligent industrial spaces, and the information industry continued to be active on the stage
.
The industrial intelligence is in front of the stage, but behind the scenes, it is still facing a "big test"
.
.
With the application of technologies such as the Internet of Things and 5G, a grand digital revolution has swept the entire society
.
Technology blessed the industry and gave birth to more intelligent industrial spaces, and the information industry continued to be active on the stage
.
The industrial intelligence is in front of the stage, but behind the scenes, it is still facing a "big test"
.
Industrial intelligence "flowering period" is flourishing
In the era of the Internet of Everything, the digital revolution is changing many industrial chains.
Among them, industries are blooming in many places
.
According to data from the Ministry of Industry and Information Technology, as of the end of August, the number of large and medium-sized industrial equipment of a certain scale and influence exceeded 100, the number of connected industrial equipment reached 76 million sets, and the number of 5G+ industrial Internet under construction nationwide exceeded 1,800
.
Among them, industries are blooming in many places
.
According to data from the Ministry of Industry and Information Technology, as of the end of August, the number of large and medium-sized industrial equipment of a certain scale and influence exceeded 100, the number of connected industrial equipment reached 76 million sets, and the number of 5G+ industrial Internet under construction nationwide exceeded 1,800
.
A batch of intelligent industrialization is progressing in an orderly manner, helping the formation of characteristic industries, taking coal mining in the western region as an example
.
Technology updates the coal operation mode, connects people and machines, machines and machines, and recognizes underground images in high definition to ensure timely data return
.
Based on the information obtained, coal mining companies use remote equipment control to realize automated, unmanned production, and achieve the purpose of speeding up, reducing costs, and safe and efficient mining
.
.
Technology updates the coal operation mode, connects people and machines, machines and machines, and recognizes underground images in high definition to ensure timely data return
.
Based on the information obtained, coal mining companies use remote equipment control to realize automated, unmanned production, and achieve the purpose of speeding up, reducing costs, and safe and efficient mining
.
AI intelligence assists multiple sectors such as project planning, collaborative operations, and testing services
.
For example, the China National Building Material Group's online freight platform cooperates with Baidu Smart Cloud to implement operations such as truck planning routes in batches, and improve the matching rate of trucks and goods; Lenovo Wuhan Digital Factory actively introduces 5G Internet of Things to realize data upload to the cloud, which can be achieved in 30 minutes Product line change
.
Not only that, artificial intelligence, 5G, big data, space technology, etc.
have landed in deep space exploration, environmental monitoring, biomedicine, geological environment and other fields.
The integration of "intelligent technology + industry" is accelerated in multiple fields, and new engine power Born continuously
.
.
For example, the China National Building Material Group's online freight platform cooperates with Baidu Smart Cloud to implement operations such as truck planning routes in batches, and improve the matching rate of trucks and goods; Lenovo Wuhan Digital Factory actively introduces 5G Internet of Things to realize data upload to the cloud, which can be achieved in 30 minutes Product line change
.
Not only that, artificial intelligence, 5G, big data, space technology, etc.
have landed in deep space exploration, environmental monitoring, biomedicine, geological environment and other fields.
The integration of "intelligent technology + industry" is accelerated in multiple fields, and new engine power Born continuously
.
Intelligent "winter" has traces to follow
However, behind the seemingly vigorous development, there are still many problems, and the smart market is showing signs of "winter"
.
Take artificial intelligence (AI) as an example
.
Data shows that China's artificial intelligence industry entered the capital fast lane in 2015.
In 2016, nearly 60% of the investment flocked to angel rounds of financing.
Since then, the investment rounds have gradually moved back and become colder in 2019
.
According to statistics from the Shenzhen Artificial Intelligence Industry Association, from 2012 to the first half of 2020, the Al industry in Beijing, Shanghai, Shenzhen, and Hangzhou raised 426 billion yuan.
The financing scale reached its peak in 2018, and nearly 150 billion yuan was raised that year.
.
From the data point of view, the intelligent industry is clearly in a downhill state.
From the "magic power" encounters a "technical bottleneck", industrial intelligence has fallen
.
.
Take artificial intelligence (AI) as an example
.
Data shows that China's artificial intelligence industry entered the capital fast lane in 2015.
In 2016, nearly 60% of the investment flocked to angel rounds of financing.
Since then, the investment rounds have gradually moved back and become colder in 2019
.
According to statistics from the Shenzhen Artificial Intelligence Industry Association, from 2012 to the first half of 2020, the Al industry in Beijing, Shanghai, Shenzhen, and Hangzhou raised 426 billion yuan.
The financing scale reached its peak in 2018, and nearly 150 billion yuan was raised that year.
.
From the data point of view, the intelligent industry is clearly in a downhill state.
From the "magic power" encounters a "technical bottleneck", industrial intelligence has fallen
.
Beijing Shangtang Technology Development Co.
, Ltd.
(Shangtang), Beijing Megvii Technology Co.
, Ltd.
(Megvii), Yuncong Technology Co.
, Ltd.
(Yuncong), Shanghai Yitu Network Technology Co.
, Ltd.
(Yitu) are known as AI four Xiaolong, once highly sought after in the primary market, now has a lacklustre response in the secondary market
.
The important reason is that the commercial bottleneck is obvious, and artificial intelligence has become "artificial + intelligence"
.
, Ltd.
(Shangtang), Beijing Megvii Technology Co.
, Ltd.
(Megvii), Yuncong Technology Co.
, Ltd.
(Yuncong), Shanghai Yitu Network Technology Co.
, Ltd.
(Yitu) are known as AI four Xiaolong, once highly sought after in the primary market, now has a lacklustre response in the secondary market
.
The important reason is that the commercial bottleneck is obvious, and artificial intelligence has become "artificial + intelligence"
.
Judging from the financial report data released by the four companies, from 2018 to 2020, the three major periods of R&D, sales, and management of the four companies accounted for 135% of the total revenue, and the labor cost accounted for 75% of the total revenue.
Signs
.
Looking back at the development history of the Al Four Little Dragons, in fact, visual recognition was already in its infancy in 2015.
The landing scene including security has been clearer, and the Al Four Little Dragons took advantage of the trend
.
But now the empowerment of security, smart life and other fields is very mature, entering a bottleneck period, the growth curve of the four little dragons has dropped again and again
.
Signs
.
Looking back at the development history of the Al Four Little Dragons, in fact, visual recognition was already in its infancy in 2015.
The landing scene including security has been clearer, and the Al Four Little Dragons took advantage of the trend
.
But now the empowerment of security, smart life and other fields is very mature, entering a bottleneck period, the growth curve of the four little dragons has dropped again and again
.
It can be seen that although intelligent technology is full of futuristic sense, it still lacks hematopoietic ability in terms of commercial landing and technology
.
For example, most AI technologies do not appear alone, but are embedded in a certain product and are task-oriented
.
Industrial models that rely too much on specific scenarios, and intelligence can hardly meet the differentiation, fragmentation, and complexity of the industry
.
.
For example, most AI technologies do not appear alone, but are embedded in a certain product and are task-oriented
.
Industrial models that rely too much on specific scenarios, and intelligence can hardly meet the differentiation, fragmentation, and complexity of the industry
.
Intelligent "big exam" is currently
But we must also see that the value of AI and other smart technologies still cannot be ignored
.
Previously, it took two years to make a good machine translation model.
Now, as long as the data is in hand, with the help of frameworks and open source smart projects, a good machine translation model can be made in a few weeks
.
In addition, smart phones and precise push are another layer of intelligence
.
It can be seen that the accuracy of technology such as machine vision and natural language has been greatly improved, driving the development of downstream technology applications to varying degrees
.
.
Previously, it took two years to make a good machine translation model.
Now, as long as the data is in hand, with the help of frameworks and open source smart projects, a good machine translation model can be made in a few weeks
.
In addition, smart phones and precise push are another layer of intelligence
.
It can be seen that the accuracy of technology such as machine vision and natural language has been greatly improved, driving the development of downstream technology applications to varying degrees
.
Therefore, how to get through the deep water and rebuild confidence in an intelligent future? How to closely integrate with vertical industries is the question that should be considered in the current industrial intelligence
.
On the one hand, at this stage, we still need to pay attention to the supporting intelligent technologies needed for industrial scale implementation
.
A technology from the laboratory to practice requires frameworks, platforms, chips, etc.
After entering large-scale applications, there will be problems such as operation and maintenance.
Therefore, supporting intelligent technology is one of the current focuses
.
.
On the one hand, at this stage, we still need to pay attention to the supporting intelligent technologies needed for industrial scale implementation
.
A technology from the laboratory to practice requires frameworks, platforms, chips, etc.
After entering large-scale applications, there will be problems such as operation and maintenance.
Therefore, supporting intelligent technology is one of the current focuses
.
On the other hand, artificial intelligence needs to be deeply integrated with traditional industries
.
The traditional industrial scenes that artificial intelligence has entered are fragmented, and the application model is insufficiently generalized.
Intelligentization should improve the accuracy and understanding of the industry.
According to the actual scene and combined with industry data and knowledge, deep integration is carried out to build effective industry solutions.
.
.
The traditional industrial scenes that artificial intelligence has entered are fragmented, and the application model is insufficiently generalized.
Intelligentization should improve the accuracy and understanding of the industry.
According to the actual scene and combined with industry data and knowledge, deep integration is carried out to build effective industry solutions.
.
Technology maturity needs to go through five stages: budding period, expectation period, trough period, recovery period and production maturity period
.
From this point of view, industrial intelligence has passed the embryonic and expected high period, and is currently in the third stage
.
At this time, the industry experienced fanatical rendering, established failure models, and witnessed the company's exit
.
After passing this stage, industrial intelligence will also bring the Phoenix into nirvana and enter a period of stable recovery
.
.
From this point of view, industrial intelligence has passed the embryonic and expected high period, and is currently in the third stage
.
At this time, the industry experienced fanatical rendering, established failure models, and witnessed the company's exit
.
After passing this stage, industrial intelligence will also bring the Phoenix into nirvana and enter a period of stable recovery
.
(Source: Caixin.
com, Juchao Consulting, Science and Technology Daily, etc.
)
com, Juchao Consulting, Science and Technology Daily, etc.
)
Original title: Where will the digital revolution continue?
