In recent years, there has been a noticeable surge in the prevalence of dialogues across various domains. The widespread adoption of dialogues, also facilitated by technologies such as ChatGPT, Bard, and Claude, underscores the considerable significance of comprehending their intricate structures. The analysis of dialogue structures offers invaluable benefits, particularly in sectors like healthcare, where […]

Canada’s international marine trade, accounting for 80% of its commerce with countries beyond North America, surged to an impressive $205 billion in 2015. In this dynamic industry, the maintenance and repair sector assume a pivotal role in managing the life cycle costs of marine vessels, with approximately 72% of the budget allocated to its operation. […]

Future ships will be greener and safer, because they will be self-driving. But testing self-driving ships in the ocean is complicated and dangerous. For that reason, we invented a new way of building smaller models of ships, to safely tests these new technologies. Building ships our way is cheaper and easier than older methods and […]

The main topic of this project is to detect the presence and direction of cross-sea waves on the sea surface using X-band radar images. The cross-sea wave pattern may have significant energy and instantaneous irregularity, making it potentially dangerous. The target customer groups of this project include the shipping companies and shipowners, fishing industry, and […]

Les technologies liées aux systèmes d’aide aux prises des décisions dans des navires intelligents ont atteint un niveau de maturité élevé dans les dernières années. Pendant ce temps, les navires autonomes et sans pilote ont aussi été largement étudiés en parallèle aux véhicules autonomes, comme les chargeuses autonomes dans les mines. Bien que la technologie […]

Le remblai en pâte cimenté (RPC) est le matériau le plus utilisé dans les mines souterraines pour combler les vides créés à la suite de l’extraction du minerai grâce à ses performances mécaniques bien établies. Afin d’assurer une stabilité des terrains lors de l’exploitation minière, il est nécessaire d’étudier les propriétés mécaniques de ce matériau […]

Clean Ocean Watch (COW) Platform is a solution designed to tackle the critical problem of oil spills in our oceans. Oil spills have destructive consequences for marine ecosystems, coastal communities, and economies worldwide. We are going to design a platform that utilizes the power of Sentinel-1 free-of-charge satellite data, which provides high-resolution radar imagery, allowing […]

Icebergs pose serious risks to subsea infrastructures operating in the Arctic and Atlantic regions. They can damage pipelines, cables, and foundations by scraping the seabed or directly colliding with offshore structures like floating systems and platforms. To prevent such impacts, icebergs are towed away from the facilities using specialized vessels and equipment. However, this process […]

En biologie, tout comme dans le monde des machines mécaniques, la fonction découle de la structure. Dans le domaine biologique, les “machines” sont constituées de protéines. En altérant leur structure, il est possible de leur conférer de nouvelles fonctionnalités. L’entreprise 9Bio combine une expertise de pointe en modélisation IA avec l’ingénierie structurelle biologique pour créer […]

In this research project, we plan to explore potential uses of generative AI models, such as ChatGPT, to enhance financial modeling. Trusting financial advice from Generative Pre-Trained Transformer (GPT) models is a challenge due to model “hallucinations”, necessitating careful verification and validation of the output. Therefore, we plan to take an alternative approach. We would […]

Wildfires continue to pose severe threats to ecological systems, communities, and economies worldwide. Early and accurate prediction of wildfire occurrences is crucial for effective preparedness and response strategies. This study investigates the application of machine learning methods to predict global wildfire events, utilizing the SeasFire Cubes dataset — a scientific datacube designed explicitly for seasonal […]

This project aims to enhance the accuracy of identifying health issues in chest X-ray images. The team will develop a specialized tool, known as a “chest-tube detection model”, which will initially examine all X-rays to identify cases where patients have already received medical assistance, making it unnecessary to flag these cases. Subsequently, the remaining X-rays […]