Predictive maintenance using Machine Learning
This blog post has been written with the collaboration of Juan Olloniego and Germán Hoffman. Even if machines have done a big part of the heavy lifting for us since the industrial revolution, they still depend on us for their maintenance. As they have that annoying tendency to break from time to time, their conservation becomes essential to keep up with our daily activities. Now, with the industry 4.0, the internet of things, and the artificial intelligence advent, we are letting a new kind of machines take care of their older counterparts. We make these new transistor-based machines look after their ancestors.
Sep-11-2020, 20:10:22 GMT
- Country:
- Asia > China
- Chongqing Province > Chongqing (0.04)
- North America > United States (0.04)
- Asia > China
- Industry:
- Information Technology (0.34)
- Technology: