Networking event organised by the CHAIR theme AI for Scientific Data Analysis.
Speaker: Dr. Carlos Natalino Da Silva
Overview
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
Caroline Adiels
- Senior Lecturer, Institution of physics at Gothenburg University