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 :

Interview with AAAI Fellow Yan Liu: machine learning for time series

  19 Mar 2026
Hear from 2026 AAAI Fellow Yan Liu about her research into time series, the associated applications, and the promise of physics-informed models.

A principled approach for data bias mitigation

  18 Mar 2026
Find out more about work presented at AIES 2025 which proposes a new way to measure data bias, along with a mitigation algorithm with mathematical guarantees.

An AI image generator for non-English speakers

  17 Mar 2026
"Translations lose the nuances of language and culture, because many words lack good English equivalents."

AI and Theory of Mind: an interview with Nitay Alon

  16 Mar 2026
Find out more about how Theory of Mind plays out in deceptive environments, multi-agents systems, the interdisciplinary nature of this field, when to use Theory of Mind, and when not to, and more.
coffee corner

AIhub coffee corner: AI, kids, and the future – “generation AI”

  13 Mar 2026
The AIhub coffee corner captures the musings of AI experts over a short conversation.

AI chatbots can effectively sway voters – in either direction

  12 Mar 2026
A short interaction with a chatbot can meaningfully shift a voter’s opinion about a presidential candidate or proposed policy.

Studying the properties of large language models: an interview with Maxime Meyer

  11 Mar 2026
What happens when you increase the prompt length in a LLM? In the latest interview in our AAAI Doctoral Consortium series, we sat down with Maxime, a PhD student in Singapore.

What the Moltbook experiment is teaching us about AI

An experimental social media platform where only AI bots can post reveals surprising lessons about artificial intelligence behaviour and safety.



AIhub is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence