The First Inria-DFKI European Summer School on Artificial Intelligence (IDAI 2021) is an online event held on July 20-23, 2021. It had two themes, ‘Trustworthy AI‘ and ‘AI for Medicine‘. Along with the latest methodological advances and the shared vision of the future, it also offered hands-on courses. Participants were also offered the opportunity to present their work to each other in dedicated poster/demo sessions.
I participated in the ‘AI for Medicine‘ track. The keynotes and courses were very helpful. I particularly enjoyed the ‘Federated learning methods and frameworks for collaborative data analysis’, and the ‘Natural Language Processing for medical applications’ courses. The keynotes, ‘Why medicine is creating exciting new frontiers for machine learning and AI’ and ‘Why domain knowledge (still) matters in medical image analysis’ were also quite thought-provoking.
I also presented one of my research works entitled ‘Federated semi-supervised learning and transfer learning-based multi-task approach to detect Covid-19 and lung-segmentation from chest radiography (number 13)’ in the poster/demo session on July 20.
