From laser simulation to real combat realism
Exploring computer vision to transform live military training with real-time, data-driven feedback.
GPS-free localization for defense robots
A global defense company needed a vision‑based model trained with custom synthetic peri‑urban data to overcome real‑world data scarcity and ensure reliable autonomous navigation for its ground robots.
Pioneering the future of aerial intelligence through advanced 3D digital twins
How do we inspect critical infrastructure safely and efficiently? To tackle this, dive into the combination of aerial platforms with advanced AI to create photorealistic, queryable 3D Digital Twins.
Beyond the hype: how NVIDIA GTC Paris 2025 trends are shaping industry
NVIDIA GTC Paris 2025 revealed an unprecedented scale and breadth of innovation, with a clear focus: not on predicting the future of AI, but on demonstrating how existing technologies are being put to work today. Our CTO Sabri Skhiri was on the ground to bring back insights.
Tech insights from GTC Paris 2025
Among the NVIDIA GTC Paris crowd was our CTO Sabri Skhiri, and from quantum computing breakthroughs to the full-stack AI advancements powering industrial digital twins and robotics, there is a lot to share!
Development & Evaluation of Automated Tumour Monitoring by Image Registration Based on 3D (PET/CT) Images
Tumor tracking in PET/CT is essential for monitoring cancer progression and guiding treatment strategies. Traditionally, nuclear physicians manually track tumors, focusing on the five largest ones (PERCIST criteria), which is both time-consuming and imprecise. Automated tumor tracking can allow matching of the numerous metastatic lesions across scans, enhancing tumor change monitoring.
Euranova France is Flying Drones: Find Out Why
Learn about the innovative applications, challenges, and solutions in computer vision, and dive into case studies with us!
Watch the Replay: Introducing 2Be3-Net for Enhanced 3D PET Scan Predictions
Dive into the intersection of Computer Vision and Healthcare as Ronan presents the team's paper: "2Be3-Net: Combining 2D and 3D convolutional neural networks for 3D PET scans predictions."
A Marseille, le Smart Port Challenge innove pour la fluidité des opérations portuaires
Optimiser la gestion des trafics de véhicules sur les ports, sécuriser les conteneurs ou les équipements sensibles des navires : trois des multiples innovations proposées au "Smart Port Challenge" dont la 2ème édition s'est tenue 24 novembre à Marseille.
2Be3-Net : Combining 2D and 3D convolutional neural networks for 3D PET scans predictions
Radiomics is the main approach used to develop predictive models based on 3D Positron Emission Tomography (PET) scans of patients suffering from cancer. We propose a deep learning architecture associating a 2D feature extractor to a 3D CNN predictor.
Data-driven microbiome medicines for oncology
From microbiome sequencing to predictive models driving immunotherapy innovation.
Learn how AI optimises transport flows
Le Port de Marseille Fos et la start-up EURA NOVA ont répondu au défi "Comment utiliser les caméras installées sur le Port pour optimiser les flux routiers et ferroviaires et diminuer leurs impacts environnementaux ?"