ΑΙhub.org
 

CLAIRE COVID-19 Initiative Video Series: Meet the Team Leaders – Ricardo Chavarriaga

Ricardo Chavarriaga

In this final interview in the series of Meet the Team Leaders from the CLAIRE COVID-19 Initiative, we hear from Ricardo Chavarriaga, head of the CLAIRE office in Switzerland, and a senior researcher at the Zurich University of Applied Sciences.

AIhub focus issue on good health and well-being

Ricardo Chavarriaga is the head of the CLAIRE office in Switzerland, and coordinator of the CLAIRE COVID-19 taskforce. In this interview you can find out why he decided to join the initiative, how the taskforce helped tackle the pandemic, and the next steps.

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, Manlio De Domenico and Marco Aldinucci.

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:


Related posts :



We built an AI tool to help set priorities for conservation in Madagascar: what we found

Daniele Silvestro has developed a tool that can help identify conservation and restoration priorities.
24 April 2024, by

Interview with Mike Lee: Communicating AI decision-making through demonstrations

We hear from AAAI/SIGAI Doctoral Consortium participant Mike Lee about his research on explainable AI.
23 April 2024, by

Machine learning viability modelling of vertical-axis wind turbines

Researchers have used a genetic learning algorithm to identify optimal pitch profiles for the turbine blades.
22 April 2024, by

The Machine Ethics podcast: What is AI? Volume 3

This is a bonus episode looking back over answers to our question: What is AI?
19 April 2024, by

DataLike: Interview with Tẹjúmádé Àfọ̀njá

"I place an emphasis on wellness and meticulously plan my schedule to ensure I can make meaningful contributions to what's important to me."

Beyond the mud: Datasets, benchmarks, and methods for computer vision in off-road racing

Off-road motorcycle racing poses unique challenges that push the boundaries of what existing computer vision systems can handle
17 April 2024, by




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association