AI algorithms are very important. How can the manufacturing industry use them to make real money?

How can artificial intelligence algorithms empower manufacturing companies in a down-to-earth way and optimize manufacturing and supply chain links?

The foundation of AI is inseparable from two issues: algorithm and data. The value of data is well known to everyone. The huge manufacturing industry system will generate a series of data from the configuration of parts to the welding and assembly of finished machine tools, generators, etc. Comprehensively collecting, summarizing, integrating and using these data can not only formulate various production plans reasonably and efficiently, but also discover a series of problems existing in the industrial production process, so that the value of the data can be released as deeply as possible and let the industry Life is advancing in a digital and automated way.

Let’s look at the data again. Robots that can walk, run and jump freely cannot do without various components and metal materials, but also require core support such as machine vision and AI algorithms. When manufacturing industrial robots, the improvement of algorithms will even affect the intelligence and safety of the robot to a certain extent. In order to occupy more say in the new round of fierce market competition, many scientific research institutions and universities at home and abroad have included AI algorithm-related projects in their key research and development catalogs.

With artificial intelligence supported by data and algorithms, manufacturing companies, the main body of the manufacturing industry, are facing a new round of opportunities and challenges. Overall, there are three major issues that deserve attention and need to be resolved. First, how to use artificial intelligence to help companies further expand sales and circulation links; second, how to help companies solve internal operational problems and improve management efficiency; third, how to help companies optimize the external ecological environment, such as through financial technology technology Innovate and upgrade to optimize the financing service environment.

At present, some domestic companies have begun to explore the research and application of AI algorithm technology. As a new generation of national artificial intelligence open innovation platform designated by the Ministry of Science and Technology for "Intelligent Vision", SenseTime assumes the role of a "power plant" for original AI algorithms in the digital economy era. According to statistics, SenseTime has more than 20 supercomputer clusters across the country, has trained more than 3,000 different types of algorithm models, and has successfully helped more than 1,000 partners achieve significant performance improvements.In terms of AI algorithms, SenseTime is also striving to achieve more breakthroughs.

As a testing ground for cutting-edge technologies such as AI, 5G, Internet of Things, big data, robots, and unmanned vehicles, industrial manufacturing has become a driver for improving quality and efficiency in traditional manufacturing. Especially in today's era when the wave of intelligence and automation is fully flowing, all aspects of the manufacturing industry will be more closely related to cutting-edge technology, and the manufacturing industry with the blessing of cutting-edge technology will become more vibrant and dynamic.

The application of "machine learning" in smart factories is providing important support for manufacturing machine management and equipment maintenance. The use of machine learning technology helps provide new depth to applications through already integrated tools. By using deep learning applications in manufacturing plants, better data on reliability and stability can help improve the economic efficiency and performance of factory product manufacturing.

In addition to industrial production, the application of technologies such as artificial intelligence in people’s lives will also become more common. For example, the elevator is used by almost everyone living in the community. Mature face recognition and voice recognition technologies make the human-computer interaction in elevators more intelligent; using the Internet of Things big data machine learning model to perform predictive maintenance on elevators can keep elevators in better condition and reduce the cost of elevator maintenance. Escalator waiting time.

Industrial manufacturing is an important pillar of the national economy and an important tool for achieving development and upgrading. Its sustainable and healthy development is of great significance. Traditional manufacturing is currently in a period of accelerated transformation, and artificial intelligence technology is bound to play an important role in this. In 2020, let's witness the growth and progress of traditional manufacturing together!