AI4 EOSC Webinar Series

Start: March 22nd, 2024

End: April 21st, 2024

On Friday 22nd March 2024, the first in a series of 3 webinars aiming to provide a comprehensive overview of Artificial Intelligence (AI), Machine Learning (ML), data analysis and model development will take place.

Webinar 1: Introduction to the platform

22 March 2024 @ 11:00 am - 12:00 pm CET

In this first session, "Introduction to the platform", a comprehensive overview of Artificial Intelligence (AI) and Machine Learning (ML) technologies will be provided. Participants will delve into the capabilities of AI4EOSC be guided through using the platform's dashboard for seamless data analysis and module development. Aimed at both seasoned researchers and those new to the field, these workshops will offer valuable insights and practical guidance for harnessing the power of AI within the EOSC ecosystem.

Webinar 2: Image processing with AI4EOSC

8 April 2024 @ 2:00 pm - 4:00 pm CET

The second in the webinar series will focus on "Image processing with AI4EOSC". Dive into the exciting realm of image analysis and enhancement with the AI4EOSC platform, exploring cutting-edge techniques for leveraging artificial intelligence (AI) to extract valuable insights from visual data. From image segmentation to superresolution, this workshop offers a comprehensive overview of advanced AI techniques and their applications within the European Open Science Cloud (EOSC) ecosystem. Through an immersive learning experience, participants will gain practical skills and knowledge to unlock the full potential of AI in image processing.

Webinar 3: Introduction to federated learning

22 April 2024 @ 2:00 pm - 4:00 pm CET

The final webinar of the series will provide an insightful exploration of "Introduction to Federated Learning", unravelling the potential of this cutting-edge approach in distributed machine learning. Across four dynamic sessions, participants will cover everything from the basics and best practices to understanding threats and exploring friendly frameworks like Flower. Dive into the world of federated learning and discover its applications within the AI4EOSC platform through live demonstrations and engaging discussions. suitable for individuals new to federated learning or those seeking to deepen their understanding.