Flight Load Factor Predictions based on Analysis of Ticket Prices and other Factors
The ability to forecast traffic and to size the operation accordingly is a determining factor, for airports. However, to realise its full potential, it needs to be considered as part of a holistic approach, closely linked to airport planning and operations. To ensure airport resources are used efficiently, accurate information about passenger numbers and their effects on the operation is essential. Therefore, this study explores machine learning capabilities enabling predictions of aircraft load factors.
Beyond the cloud, advanced AI computer vision
From Cloud to Edge: how to transform your business model with Edge AI? Dive into embedded computer vision and edge AI algorithm development with STMicroelectronics STM32 and Euranova.
Edge AI engineering: Euranova’s partnership with STMicroelectronics
This partnership focuses on the technical integration of machine learning models into constrained embedded environments. We provide the architectural rigor required to deploy low-latency, high-throughput AI directly onto STMicroelectronics silicon.
Euranova et l’Institut Carnot CALYM s’associent pour améliorer la découverte de biomarqueurs grâce à l'IA
Le centre privé de recherche et développement (R&D) Euranova, spécialisé dans la science des données et l’IA, et l’Institut Carnot CALYM annoncent une collaboration avec le soutien institutionnel de Roche pour faire avancer la recherche clinique en imagerie médicale, qui se concentrera sur le lymphome folliculaire.
Smart Law Hub's work accepted in the Conference On AI And Law 2021
The latest research paper by the HEC Paris SMART Law Hub team in collaboration with Eura Nova research team was accepted by the International Conference on AI and Law (ICAIL) 2021.