Smart autonomous vehicles have now become a reality while the efforts are ongoing to improve the safety, security, efficiency, and performance. In the fast paced digital world, all devices including the vehicles generate a huge amount of data every second which has to be analyzed, stored, and communicated with other devices to reach the next […]

Dexterity Consulting is a company that aims to maximize the impact of donors’ donations to charities. Dexterity Consulting offers a service to match donors to charities, based on the alignment of the donors’ preferences and the charities goals. This matching process is currently being done manually by an expert in the field, working at Dexterity […]

Frailty is an especially problematic expression of population ageing. It is a condition characterised by loss of biological reserves across multiple organ systems and vulnerability to physiological decompensation after a stressor event. Older people with frailty are at increased risk of adverse outcomes including disability, hospitalisation, nursing home admission and mortality. This project addresses the […]

Artificial Intelligence is powered by data. In general, the predictive power of AI improves with higher data abundance and higher data quality. However, real-world datasets vary greatly in quality and quantity. In drug design, like many other tasks, there is an abundance of low quality data and scarcity of high quality data. This project will […]

Digital imaging has become a leading feature in cell phones, security camera and satellite images. In addition to a race for picture clarity, the opportunities for data analysis and artificial intelligence (AI) are among the key elements attracting attention. The emergence of image enhancement and AI is relatively new, although it has a number of […]

With the rise in electronic health records, we are seeing more reports of clinician job dissatisfaction that is attributed to the amount of data entry work they are now required to do. Therefore, there is a lot of interest to use a speech recognition system to reduce the burden clinicians have by automating the documentation […]

Axes Network Solutions Inc. est une entreprise québécoise offrant des services de gestion des informations en infonuagique qui octroie des licences d’intelligence et d’applications exploitables pour l’industrie mondiale du divertissement et des loisirs. Dans un souci de se moderniser et d’offrir des solutions plus variées et plus conviviales à ses membres clients, Axes souhaite explorer […]

Patient-Reported Outcome Measures (PROMs) are validated questionnaires with which respondents self-report their health status. This may include symptom severity, functional status, and quality-of-life data. PROMS are an increasingly important part of the communication between a patient and their healthcare team. Beyond the individual encounter, PROMs data is also critical to healthcare systems providing more personalized […]

The objective of the research is to develop a system leveraging data captured for commercial building management systems (BMS) to take decisions in to reduce energy consumption without affecting comfort. The idea is to showcase how intelligent control can be implemented in existing BMS to optimize energy consumption. The project is divided in three parts: […]

The ultimate goal for Artificial Intelligence and Robotics is to enable technical systems to adapt themselves, learn from their environment, and take decisions in concordance with specific situations, without human involvement. Specifically, cooperation between these intelligent technical systems is considered as a key factor towards such a challenge. This project aims to enhance an autonomous […]

Ubisoft records the interaction between its customers and its servers in large execution logs (also called traces). Any failure of the system is thus recorded therein. However, the considerable size of these logs considerably hinders their effective use by analysts and developers. We propose an automated method to detect failing executions, and furthermore to characterize […]

We propose to explore the notion of relative reachability in transportation networks. Relative reachability refers to the determination of which transportation mode is more efficient to reach a given location in a city, e.g., using private vehicles vs. public transit. Within this context, an obvious and admittedly straightforward question (query) is to find the relative […]