THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW

Ecomtent focuses on developing vertical-specific generative AI models for e-commerce brands, offering a self-service tool to allow customers to generate an unlimited number of high-quality images in any scenario. To this end, we leverage a textto- image model which will be trained to recontextualize any image via a simple text prompt. In particular, we seek […]

Traditional cancer treatments have followed a “one size fits all” approach, which limits efficacy and often results in significant side effects. This research project aims to develop an approach to predict the impact of cancer missense mutations on the drug-protein interactions of cancer treatments. The approach will use the patient’s own genomic profile and will […]

Videns accompagne actuellement plusieurs PME dans le secteur de l’assurance dans leur initiative de transformation numérique. Nos services d’accompagnement visent à soutenir les PME dans leurs démarches vers une transformation numérique répondant à leurs besoins et alignée à leurs objectifs stratégiques. L’accompagnement de Videns est divisé en 4 volets : l’analyse de la situation actuelle, […]

This research will explore machine learning methods in order to devise a control scheme for robotic manipulators(Candarm3) in the context of space exploration. The objective is to develop an early prototype for an autonomous learning agent which can carry out standard control tasks without any operator supervision. The primary machine learning methods that will be […]

Nowadays, many of the movie characters whose performances move us on screen are at least in part digital. From superhero stunts to de-aged beloved actors and actresses, visual effects artists have to create digital characters and painstakingly reproduce performances to convince audiences. New Deep Learning (DL) technologies are emerging to help alleviate the processes. For […]

As generative models become increasingly prominent in machine learning, the need for accurately detecting out-of-distribution data has become crucial. The primary objective of this research is to develop an approach that can identify when the program encounters data that is vastly different from what it was trained on. In machine learning, programs may make errors […]

The use of indoor location-aware applications such as augmented reality, social networking, health care monitoring, asset tracking, and inventory control is on the rise. However, accurately locating Wi-Fi based devices within buildings can be a challenge, particularly in areas where GPS signals are unavailable. This research project focuses on finding ways to locate indoor devices […]

With the evolution of unmanned aerial vehicles (UAVs) in recent years, more and more researchers are setting their sights on the application research of indoor environment. Indoor applications include industrial facility inspection, warehouse inventory management, health sector, search and rescue, among others. However, the use of UAVs in these applications requires continuous high-accuracy positioning and […]

Le pin sylvestre (Pinus sylvestris) fait partie des espèces les plus dominantes de la forêt méditerranéenne et il est connu pour sa croissance rapide et sa capacité d’adaptation à divers sites écologiques. Dans cette étude, plusieurs méthodes seront utilisées (densitomètre à rayon X et la spectroscopie proche infrarouge (NIRS)) pour déterminer les propriétés physiques (densité) […]

This research project aims to develop a technique for detecting and analyzing security incidents in their early stages, reducing the potential impact on an organization’s operations. Conventional methods of deep packet inspection (DPI) and network monitoring solutions only identify frequently occurring traffic patterns, and security threats are often not detected until it’s too late. The […]