Artificial Intelligence (AI) and Photonics: is it the golden goose?
Methods of artificial intelligence (AI) and machine learning provide a powerful set of tools, which today can increasingly be used in production processes.
Well-known applications include visual quality inspection and predictive maintenance. But it turns out that AI tools can do much more. These tools are about complementing and expanding specific expertise that can be used for continuous process improvement or even for the development of customized client solutions.
When is it worthwhile to leverage these potentials or the “golden eggs”? What are the prerequisites for this and which experts can help? We would like to explore these questions in this NTN Innovation Booster Workshop. Users and AI experts are invited to discuss together the benefits, potential challenges and prerequisites for the successful use of AI in photonics for production processes. In addition, best practice examples will be shown where AI is already successfully adding real value in photonics applications.