Machine Learning algorithms proved to be very helpful in medical science in the presence of enormous amounts of data. Particularly, it analyzes medical data, such as images, genetic information, and patient records, aiding healthcare professionals in faster and more accurate diagnoses. Deep learning has gained significance in automated report generation, expediting the diagnostic process and […]

Autonomous vehicles (AVs) promise to enhance safety, reduce emissions, and improve transportation system efficiency and reliability. The growing demand for AVs is shaping the future of the automotive industry by transforming the in-vehicle experience and paving the way for large-scale implementation of autonomous driving. AV technology requires onboard intelligence relying on sensors and systems such […]

The project seeks to optimize the performance of a Language Model (LLM) specifically tailored for patent drafting. Through meticulous fine-tuning, our objective is to elevate the LLM’s capabilities, thereby enhancing the efficiency and precision in the generation of patent documents.

In ecological applications, Machine Learning (ML) predictions are used to make predictions about alternative scenarios. Such alternative scenarios however can change the distribution of features that the ML model relies on for predictions. The implication is that such uses-cases implicitly expect the ML model to generalize outside of the observational distribution. Unfortunately, this is often […]

The way we regulate our emotions has important implications for our well-being and our social relationships. Emotional regulation involves monitoring and controlling the intensity of one’s affective response to an external event and/or internal thought process. The impairment of emotional regulation then affects the person’s wellbeing; it also impairs the ability of the family members […]

La montée en puissance de l’intelligence artificielle générative permet de construire de nouveaux produits à la fine pointe de la technologie. Dans le cadre de ce stage, un assistant virtuel capable de lire et interpréter de la documentation technique sera développé. Cette nouvelle approche permettra d’interroger une banque de document en langage naturel (autrement dit, […]

With real-time acquisition of 2D imaging planes, 2D-cine MRI is often used to visualize rapidly moving tumors and organs-at-risk during radiotherapy, and automatic image registration of 2D-cine MRIs at different time points can assist in tracking tissue displacements. However, when sudden large motions occur, automatic registration algorithms can fail to track the radiation target, potentially […]

Anessa is developing software that assesses the feasibility of an anaerobic digestion facility at the earliest stages when trying to determine if a facility should be constructed. The challenge is that little information is fully known and there are a lot of factors that can affect the outcome to be positive or negative in the […]

Access to specialist care, especially in rural and remote locations, is a growing challenge in Alberta. Patients with conditions such as age-related macular degeneration, diabetes, and macular edema must travel to large urban centres for assessment by retinal specialist ophthalmologists. Assessment typically requires OCT imaging, which is now broadly available through optometrist offices across the […]

The combination of aging alongside chronic conditions such as primary biliary cholangitis leads to accelerated muscle mass loss that impacts physical function. At advanced stages, this is termed frailty. Frailty is one of the strongest predictors of poor clinical outcomes including death. In this project we will use multidimensional digital health data and artificial intelligence […]

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

Le cancer demeure un défi mondial majeur, avec 19,3 millions de nouveaux cas et 10 millions de décès en 2020. Les progrès de l’intelligence artificielle (IA) ont amélioré la détection des tumeurs. Cependant, obtenir des informations cliniquement utiles reste un défi. L’informatique quantique offre des accélérations exponentielles, notamment avec l’apprentissage automatique quantique (QML), suscitant un […]