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AI/ML for optical network automation: use cases, solutions, and open challenges

Networking event organised by the CHAIR theme AI for Scientific Data Analysis.
Speaker: Dr. Carlos Natalino Da Silva

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Abstract, Carlos Natalino Da Silva:

Artificial intelligence and machine learning (AI/ML) have made substantial progress over the past years, with applications in a wide range of industries and areas. Network automation and optical networks are among the areas where several use cases can take advantage of different aspects of AI/ML. In this talk, we will discuss the main use cases where optical network automation takes advantage of AI/ML, exploring which solutions are used. Then, a few open challenges and existing questions will be discussed.

 

AI for Scientific Data Analysis

This theme is about utilizing the power of AI as a tool for scientific research. AI can be applied to, and potentially speed up, discovery and utilization in a variety of research disciplines, such as microscopy, physics, biology, chemistry, and astronomy.