ΑΙhub.org
 

CLAIRE COVID-19 Initiative Video Series: Meet the Team Leaders – Marco Aldinucci

Marco Aldinucci

In this penultimate interview in the series of Meet the Team Leaders from the CLAIRE COVID-19 Initiative, we hear from Marco Aldinucci, Computer Science Department, University of Torino.

AIhub focus issue on good health and well-being

Marco Aldinucci is the leader of the Image analysis (CT scans, X-ray) topic group in the CLAIRE COVID-19 Initiative. In this interview you can find out about the group he leads, how AI methods can be used to help analyse medical images, and the challenges the team faced.

To find out more about this series, read our recent post and watch the first video with Emanuela Girardi. You can also watch interviews with Davide Bacciu, Ann Nowé, Jose Sousa, Marco Maratea and Manlio De Domenico.

You may also be interested in the article Marco wrote for AIhub which details the work of the topic group and describes how high-performance computing and AI can combine to good effect.

You can watch the series on the CLAIRE YouTube channel.

Find out more about the CLAIRE COVID-19 task force here.
You can contact the taskforce by email here.



tags: , ,


CLAIRE (Confederation of Laboratories for AI Research in Europe)

            AIhub is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

Scaling up multi-agent systems: an interview with Minghong Geng

  07 Apr 2026
We sat down with Minghong in the latest of our interviews with the 2026 AAAI/SIGAI Doctoral Consortium participants.

Forthcoming machine learning and AI seminars: April 2026 edition

  02 Apr 2026
A list of free-to-attend AI-related seminars that are scheduled to take place between 2 April and 31 May 2026.

#AAAI2026 invited talk: machine learning for particle physics

  01 Apr 2026
How is ML used in the search for new particles at CERN?
monthly digest

AIhub monthly digest: March 2026 – time series, multiplicity, and the history of RoboCup

  31 Mar 2026
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.

What I’ve learned from 25 years of automated science, and what the future holds: an interview with Ross King

  30 Mar 2026
We launch our new series with a conversation with Ross King - a pioneer in the field of AI-enabled scientific discovery.

A multi-armed robot for assisting with agricultural tasks

and   27 Mar 2026
How can a robot safely manipulate branches to reveal hidden flowers while remaining aware of interaction forces and minimizing damage?

Resource-constrained image generation and visual understanding: an interview with Aniket Roy

  26 Mar 2026
Aniket tells us about his research exploring how modern generative models can be adapted to operate efficiently while maintaining strong performance.

RWDS Big Questions: how do we highlight the role of statistics in AI?

  25 Mar 2026
Next in our series, the panel explores the statistical underpinning of AI.



AIhub is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence