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Fertigung & Industrie 4.0

The role of artificial intelligence in industry 4.0

Recently, the industrial sector has experienced the most profound change it has ever encountered: the industrial revolution. Technology such as self-driving cars, internet-connected gadgets, sensors, and computer chips are all included. The transformation was triggered by the manufacturing sector's openness to new ideas brought on by technological developments. Artificial intelligence (AI) applications in industry are one such example.

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Why AI in manufacturing?l

The primary expense associated with manufacturing is the constant upkeep of machinery and plant infrastructure, which has a significant impact on any organization. Unanticipated production line shutdowns cost billions annually. Manufacturers use AI-assisted predictive maintenance to reduce expenses. With today's short market deadlines and huge product load, manufacturers struggle to maintain excellent quality on established standards and laws. AI in manufacturing improves product quality.

  • How is AI transforming manufacturing?

    AI is essential to manufacturing's future development and success. AI helps with decision-making and information overload, therefore nearly 50% of manufacturers consider it crucial over the next five years. AI revolutionizes industrial enterprises' operations.

At this time, the industrial sector makes use of AI approaches for a variety of applications, including the following:

  • The processing and application of data begins when it is received at the input layer of a neural network. The input is taken in by a hidden layer, which then performs some sort of calculation on it and passes the result on to the output layer. For example, a neural network that was just recently constructed is capable of analyzing satellite photos in order to calculate the heights of individual trees.
  • The field of artificial intelligence known as machine learning is one in which a computer is taught by examples and is then used to make judgments and detect patterns in data acquired from the real world. Check out our companion article if you’re interested in learning more about the history of machine learning.
  • Deep Learning is a method of machine learning that attempts to model the way in which the human brain processes information. This is accomplished by moving input from one layer of a neural network to the next. This article describes how Deep Learning may be utilized to help address the issue of global warming.