DIADEM Academy has renewed the “U-net for image analysis” training course on February 19 and 20, 2026, in Grenoble

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Following the enthusiasm generated by the first “U-net for image analysis” session, the DIADEM Academy repeated this training course on February 19 and 20, 2026, in Grenoble. Organized by Élodie Iste and Fabrice Rossignol, this new session kicks off the 2026 continuing education program of the PEPR DIADEM.

True to their mission, these training courses aim to support the development of research communities skills in digital and artificial intelligence tools, while promoting scientific and collaborative exchanges.

Thanks to the involvement of our trainer, Dmitry Karpov, who agreed to personally guide the visit, this session was enriched by an immersion within the ESRF, offering participants privileged access to this world-class research infrastructure.

This visit provided a concrete illustration of the challenges involved in acquiring and analyzing large-scale experimental data, which is at the heart of current issues in materials science.

We had the opportunity to spend a few minutes talking with two teams, one French and one Spanish, working on two separate experimental lines. Despite the ongoing nature of their experiments, they took the time to show us the instruments and explain how the devices work in practical terms, offering participants a rare and privileged insight into the devices in operation.

Next, a presentation of the DIAMOND platform, developed as part of the PEPR DIADEM program, rounded off this immersion. Participants were able to discover simulation-AI workflows, structured databases, and containerized codes. Once implemented, these tools can save considerable time in the discovery and development of new materials.

This two-part event linked experimental acquisition, data management, and AI exploitation, offering a glimpse of the transformations currently underway in materials research.

Like the first edition, this new session once again brought together a diverse range of participants—doctoral students, postdoctoral researchers, engineers, and researchers—reflecting the broad interest generated by the training program. Once again, demand exceeded the number of places available, confirming the success and relevance of this topic. Coming from different laboratories across France, participants spent two days learning about the U-net architecture and its practical applications.

The training was led by Dr. Dmitry Karpov, Junior Professor Chair in Physics and Materials Science at the University of Grenoble Alpes. A specialist in X-ray nanoimaging and computational imaging, he develops autonomous workflows combining digital models and machine learning to accelerate the analysis of experimental data and the discovery of new materials.

Once again, the quality of his presentation was unanimously praised by participants, who highlighted its educational excellence, clarity of explanation, and richness of content. The teaching materials, which were particularly rich and detailed, were widely appreciated for their quality and provide a solid basis for participants to reuse the U-net architecture in their own projects. His availability and openness to discussion were once again highly appreciated.

Thank you to all participants and local teams

We would particularly like to thank Dmitry and his colleagues at ESRF for the time they gave us during the visit. SIMAP for welcoming us once again to their premises. And Irina Piazza and Léo Orveillon for their presentation of the DIAMOND platform.

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