3IA Research Week for Companies 2025

Register

The concept

The 3IA Côte d'Azur organizes an "AI Study Groups with Industry", based on the model of the popular "European Study Groups with Industry" (ESGI). These study groups are internationally recognized as problem-solving forums for knowledge transfer.

An ESGI called "3IA Research Week for Companies" and dedicated to AI will take place in Sophia Antipolis (Inria, Kahn building) during the week Jan. 20 – Jan. 24, 2025.

It will gather Ph.D. students and post-doc researchers from Université Côte d'Azur and its partners (Inria, CNRS, Eurecom, Inserm, Skema business school, Ecole de l'Air et de l'Espace, Centrale méditerranée) and industrial partners from the Sophia Antipolis area, focusing on AI technology.

It will also opened to Ph.D. students and post-doc research from the other laureates of the IA Cluster call.

During one week, young researchers (Ph.D. students, post-doc researchers) in AI work in small groups on problems coming from industrial partners. By the end of the week, the first step towards a solution is generally identified, opening the doors to future further developments.

Best Performance Award

• The scientific advisors will judge the quality of the teams' work.
• Each member of the team that achieves the best performance will receive a prize worth €100.

2,5 ECTS

For students of the STIC and SFA doctoral schools at Université Côte d'Azur, participation in this week is equivalent to 2,5 ECTS credits.

To participate

• Please register before dec. 18, 2024
• The organization team will announce the selected candidates and the constitution of the groups/topics on dec.20, 2024

Companies and study topics

• Bertin Technologies: Multi-sensor detection and identification of toxic gases for civil protection
• IPCA / Projet Nutrimate: Conformal Prediction of highly Correlated Multivariate Holed Timeseries
• Athletics integrity: Identify potential elite athletes in advance
• Inzia / ARIA FIRE FIHTING: Classify vegetation type and risk level by proximity to human activity for fire control
• SAP Labs France: Dataset Extraction and LLM Fine-tuning
• Mycophyto: Information extraction and creation of a RAG (Retrieval-Augmented Generation) on the application of AMFs in agriculture.
• Fairvision: Improving football player reidentification thanks to trajectories predictions and game pattern recognition

When registering, you will need to mention, in order of preference, the three companies you would like to work with.

Week organization

• On Monday morning, all topics of study will be presented by the industrial partners.
• Then, each group of students (made up of 4 to 5 students) gets some more precise information on their topic and the work starts.
• During the week, groups are autonomous, but industrial partners and a team of academics remain available to help whenever needed.
• On Friday morning, all groups present their result.

Daily schedule: 9:00 AM welcome coffee / 12:00 PM to 1:30 PM lunch (buffet or lunch box provided) 4:30 PM end of the day.