The surge in data-intensive machine learning (ML) applications necessitates effective incentives for data owners (DOs) to contribute data and train ML models collaboratively. The decision to participate in collaboration depends on the balance between utility gains and privacy loss. This project focuses on federated learning (FL), where DOs participate in collaborative learning without sharing raw […]

More than a hundred thousand documented orphaned oil and gas wells are known to exist in the United States, with potentially over a million remaining undocumented. Due to funding shortfalls, many orphaned wells remain unplugged and are negatively impacting human health, degrading the environment, and contributing to greenhouse gas emissions, such as methane. Nearly $5B […]

Algorithm auditing refers to the study and evaluation of algorithmic systems to ensure their transparency, fairness, legality and compliance with ethical standards. Our project focuses on the acceptability of practical audits where platforms provide synthetic data about algorithms, instead of the traditional approach with external audits without considering the collaboration of the platform. Technical implications […]

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 […]

The project is expected to deepen understanding of Artificial Intelligence in a modern Global Security context by analysing the practical implications of its usage by the Russian Federation in the full-scale invasion of Ukraine. The goal of the project is to create a comparative analysis and to reveal the difference or consistency within the declared […]

La cybersécurité est devenue une préoccupation majeure pour les entreprises et les organisations en raison de la croissance exponentielle des menaces en sécurité informatique. Internet est un élément critique qui est devenu un réseau universel de communication. Les attaques réseau, y compris les attaques par déni de service distribué (DDoS), sont considérées comme l’une des […]

There will be significant investment in providing the intern with a strong foundation to make an impact across a couple different areas of the company during this internship. This will include job shadowing of the Client Partner during service delivery tasks, inclusion on company tieger teams, and participation in weekly team meetings. Once the intern […]

Total::Insight™ is a geospatial and time distribution Decision Support System (DSS) that includes a correlator capable of consuming many sporadic time domain signals and converting them into feature rich tracks. The problem here is how to create an AI/ML embedding that is domain relevant from the tracks.The project objective is to develop, refine and industrialize […]

This project is meant to develop a Hybrid AI Platform for Streamlining Evaluation (HAIPSE) of applications assisting the partner organization, The NIB Trust Fund, in processing the two categories of funding applications. The NIB Trust Fund supports education programs of the First Nation and Métis individuals and organizations aimed at healing, reconciliation, and knowledge building. […]

The overarching project involves designing, testing and evaluating a platform that uses AI and data-driven approaches to improve recruitment, adherence, engagement and monitoring of clinical trials. The specific projects to be undertaken by the interns involve 1) identifying evidence-based behaviour-change techniques that will then be programmed into an AI-driven adherence assistant and evaluated and 2) […]

Our research addresses the challenges in solving large-scale parallel machine scheduling, an important combinatorial optimization problem in computer science and operations research. With applications ranging from manufacturing to healthcare and supercomputing, our goal is to provide a real-time solution for instances exceeding 1,000 jobs. In this research, we explore the application of parallel machine scheduling […]

The internship opportunity involves active participation in an agile AIS AI team dedicated to advancing the DeepMSI AI product. The intern will engage in impactful research under the AI team lead, focusing on refining core AI algorithms with a special emphasis on multispectral retinal image processing and deep learning. The objectives include exploring advancements in […]