With the progress of automatic processing technology in Dalian, enterprises use mechanical automatic control system to replace labor-intensive manual operation in the production process, so as to improve productivity and yield. Nowadays, the economic benefits and technological development brought by mechanical automation have become the key factors to create enterprise value and enhance industrial competitiveness.

What is the difference between mechanical learning and automatic processing? Both technologies can make some work easier, but they are not the same. Machine learning is a subset of artificial intelligence.

1. The idea of automation can be traced back to ancient Greece, but the automation to respond to change is very modern.

2. Mechanical learning is in full swing and automation systems are being enhanced to cope with variability.

3. AI can't really "think", but many mechanical learning systems show AI type behaviors, such as language recognition and visual memory comparison.

All major players in the technology industry are breaking through the boundaries of self-determined computers, especially cutting-edge technologies such as artificial intelligence and mechanical learning. Although many professionals understand that these technologies will make their work easier and even take over some tasks, there is also a lot of confusion.

There is a direction from automation to graduate students called pattern recognition and intelligent control. Robot is one of its main directions. Personally, if you want to build robots, it's better to learn automation. There is also an intersection between mechanical automation and automation, and robot is an intersection. The main thing of the robot is the target recognition and action control algorithm. The machine is only an external structure, and the core is control.