The project aims to innovate by applying generative AI to network infrastructure, focusing on the development of models that can autonomously design network topologies, anticipate traffic patterns, and simulate various scenarios to proactively address potential issues. This collaboration will blend Nokia’s technological strength with the University of Ottawa’s leading research to create AI-driven network solutions. […]

Legislation is a messy process, with important information generally not available to all stakeholders, a number of critical influencers and processes that are manual, and indeed “heroic” efforts required to get anything significant done. Gnowit (the partner organization) makes this much easier by tracking millions of sources of policy, legislative, regulatory and media information and […]

Si la recherche est abondante à étudier l’insécurité linguistique chez les locuteurs ayant le français comme langue maternelle, moins nombreuses sont les études intéressées au phénomène chez les locuteurs de français langue seconde et étrangère (FLSE) et particulièrement chez les enseignants de FLSE. Pourtant, quelques études suggèrent que ceux-ci subissent de l’insécurité linguistique en raison […]

The proposed research project will focus on the development of novel techniques to improve the assessment of psychological functions. Current psychological tests are limited in their ability to provide quantitative information on an individual’s ability to move and interact with their environment. Many psychological tests are computer-based systems that have been developed to assess psychological […]

La recharge de batterie ou encore l’alimentation continue d’appareils/engins sans fils et éloignés de toute source électrique ou solaire, comme dans le cas d’applications dans le domaine spatial, sont de véritables défis. L’usage couplé d’un émetteur laser et d’un photo-transducteur (PPC) pour transférer de la puissance sur de longues distances est une solution potentielle intéressante. […]

The project determines the limitation boundaries of single sensor measurements by assessing the accuracy of a rocket’s kinematic parameters—such as speed, turn rate, and acceleration—based on the precision of individual sensor measurements. This involves evaluating whether these parameters can be accurately measured or estimated using each available sensor while considering the rocket’s dynamic behavior. Additionally, […]

The project relates to a key electro-optic component used in optical modems that route internet traffic between cities, countries, and continents. These high-bandwidth long-haul systems are also being evaluated to solve the problem of moving data between data centers and even within data centers for high-bandwidth applications such as cloud services and artificial intelligence. The […]

Dysfunction of mitochondria, the cellular powerhouses, plays an important role in a plethora human disorders, including rare genetic myopathies such as Duchenne Muscular Dystrophy (DMD). Mitochondrial dysfunction also causes stem cell abnormalities in several tissues including skeletal muscle. For this reason, modulation of mitochondrial quality is increasingly proposed as a therapeutic strategy to prevent/restore cellular […]

This proposal aims to develop a robust, low complexity infant cry deep learning classification based on various babies’ responses to physiological needs such as hunger or to discomfort and pain. The significance of this research lies in its potential to enhance early detection of needs and moods in newborns, contributing to improved infant care, early […]

The continued health disparities and the recent public health challenges including COVID-19 pandemic and epidemics have highlighted for the need of more resilient community-based health system in Africa and beyond. Robust evidence is crucial by examining the lessons learned during practice of community-based health programs to build locally led better community health systems in Africa. […]

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The general objective of this research is to investigate the effectiveness of fine-tuning large language models (LLMs) for the purpose of enhancing patent generation and brainstorming processes across various domains. The project follows an agile project management approach, emphasizing continuous small releases. The project is important to XLSCOUT as it aims to enhance text clustering, […]