1. Our primary mandate at API is to advance research and innovation to commercialization by providing access to world-class industry expertise, services, and infrastructure. We focus on engaging and supporting life sciences product discovery and development initiatives, ensuring compliance with regulatory standards and driving innovation and commercialization through collaborative research, services, and programs that steward […]

The advent of smartphones and the associated change in usage patterns indicates that carrier voice revenues are constantly going down and are expected to almost vanish in the near future. Data revenues are picking up but not at a rate which will make up for the shortfall in voice revenues. Also, the increase in data […]

The proposed project aims to enhance Originality.ai’s role in the evolving digital content industry by addressing challenges in content authenticity and originality. The project focuses on creating impactful studies and data visualizations that leverage large datasets to evaluate trends, technologies, and methodologies in AI-generated content detection. By developing proprietary insights and tools, this initiative will […]

There is an increasing demand for high resolution multimodality imaging of research animals, such as mice and rats, to allow non-invasive monitoring of disease models and therapeutic interventions. This project focuses on the development of a new positron emission tomography (PET) imaging system that can be operated inside a magnetic resonance imaging (MRI) system. Once […]

This research aims to explore the role that Indigenous cultural centers could play in Mealy Mountain National Park Reserve in preserving Indigenous culture and promoting Indigenous tourism. Key objectives include understanding lessons from successful Indigenous cultural centers, determining how these lessons apply to the NunatuKavut community, and developing strategies to integrate cultural preservation into tourism […]

The objective of this assignment is to strengthen the institutional and organizational assessment (IOA) model developed by Universalia to identify gender dimensions which affect equity and performance within an organization. To do so, the intern will be asked to proceed to a mapping of existing gender equality tools (as well as their strengths and weaknesses) […]

Blending methane with hydrogen for power generation is well-known to significantly lower carbon-based emissions. However, studies have shown that implementing hydrogen is not trivial. In gas turbine combustion systems, major modifications may be required to facilitate the safe combustion of hydrogen and these modifications depend on numerical modeling. Turbulent combustion modeling can strongly accelerate the […]

Single-use plastic bans and EPR laws are forcing CPG brands to transition from petroleum plastics to sustainable materials, a process that is complex, lengthy and expensive. Materia is addressing this challenge with an AI/ML-driven materials informatics platform with an integrated marketplace, empowering companies to develop and launch eco-friendly products 65% faster and cheaper. This project […]

The proposed research project aims to address the significant natural hazard of large-scale landslides in sensitive clays, which can cause substantial economic loss, environmental disaster, infrastructure damage, and fatalities. The partner organization, WSP, specializes in geotechnical engineering services, including geohazard assessment from landslides and slope failure. This project will explore the applicability of advanced large-deformation […]

For this application, Solace has developed a hybrid inverter topology which incorporates a half-bridge synchronous buck converter into the inverter. The buck converter is a pain point in the topology — to limit the size of magnetic components, it is desirable to operate the buck at relatively high frequency (>300 kHz). However, switching loss in […]

Applied Recognition Corp. (ARC) a Canadian software company, which develops face recognition technology solutions, which are engineered to be both accurate and practical, allowing your organization to upgrade to biometrics simply and inexpensively. ARC relies on high-quality training data sets of human face images to train their machine learning models and ensure the accuracy of […]

The Brodt laboratory engineered and developed a novel IGF-targeting molecule (the IGF-Trap) with otent anti-cancer effects. The objective of this project is to optimize the use of this potential drug in re-clinical cancer models and develop sensitive biomarkers for assessing and predicting its effect. In addition, the effect of this inhibitor on pancreatic cancer growth […]