Seminar
The event has passed

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

Add to OutlookAdd to Google Calendar

Overview

The event has passed

  • Date:

    Starts 7 May 2024, 13:15Ends 7 May 2024, 15:00

  • Seats available:

    63

  • Location:

    PJ-salen, Campus Johanneberg

  • Language:

    English

  • Last sign up date:

    4 May 2024
Registration (Opens in new tab)

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.

Caroline Adiels
  • Senior Lecturer, Institution of physics at Gothenburg University
Contact