AI week: "L'IA avec Nous"

Abstract

The AI week summit “L’IA avec Nous” was organized by the region to promote innovations, entrepreneurship, and public-private collaborations in AI. Clément Chauvet was invited to present his thesis project, Pr. Vincent Sobanski held a talk and multiple interviews on how clinicians adapt their practice to AI, and Pr. Zaineb Garcia participated in a round table on novel technologies in healthcare.

Date
Event
Summit
Location
Lille, France

The “L’IA avec Nous” summit was a week-long event that reunited important french AI actors to discuss on the usage of AI and how it can enable progress in different domains. The endomic team was particularly invested in the organization of the summit and participated in multiple event throughout the week.

Pr. Vincent Sobanski and Pr. Zaineb Garcia participated in the opening of the summit: a one day long meeting with many speakers, CEOs of technological companies, artists, scientists to discuss on the usage, challenges, future and drawbacks of AI in several domain such as health, banking, or industry.

Clément Chauvet was invited to present his thesis in 3 minutes: a common exercise usually known as My Thesis in 180 seconds. In front of a panel of other researchers and AI engineers, he popularized the technical aspects, challenges and stakes of automatic image analysis of antinuclear antibodies.

On June 17th, the endomic team organized a seminar on AI in healthcare, reuniting multiple participants from several french universities and hospitals. The meeting covered diversified topics:

At the end of the week, Pr. Garcia partcipated in a round table on the new technologies for research. This event was also part of the 150 years anniversary of the medical faculty of Lille. This was the opportunity to meet AI scientists, biological and medical scientists, and clinician to exange on what AI brings to their work and occupation.

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Kilian DEBRAUX
PhD Student in Data Science

PhD Student in Data Science, making unsupervised ML model for longitudinal medical data