Spectrum management in non-terrestrial network (NTN)-integrated IoT system

As IoT adoption grows, ensuring seamless connectivity across diverse environments is increasingly challenging. Many devices, such as sensors in farming, environmental monitoring, and disaster response, operate in remote areas where traditional networks are unavailable or insufficient. In such cases, NTN-integrated networks play a crucial role in providing connectivity. However, NTN communications require high transmission power, […]

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Mesurer pour agir : Un indice du capital de réputation sociétale pour guider la communication

Aujourd’hui, les entreprises doivent prouver qu’elles sont réellement engagées en matière d’environnement et de responsabilité sociale. Malheureusement, certaines exagèrent leurs actions, pratiquant l’écoblanchiment (greenwashing) pour paraître plus vertes qu’elles ne le sont, ou encore le diversity washing, en affichant un engagement exagéré en diversité et inclusion. D’autres, par peur des critiques, préfèrent minimiser leurs efforts, […]

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Canadian Business for Social Responsibility (CBSR)

CBSR is a leader in advancing sustainability and corporate social responsibility across Canada, working with organizations to integrate sustainable practices into their business strategies. As part of a network of organizations focused on fostering a socially just, sustainable, and net-zero economy, CBSR faces the challenge of optimizing its member engagement and program delivery to effectively […]

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Asynchronous mesh networks for continuous methane leak monitoring

Spero Analytics is a research-driven IoT startup which builds mesh networks for automated, continuous surveillance of greenhouse gas emissions in landfills and energy facilities. As those networks are power efficient and operate using radio communication, they can be deployed in remote industrial areas with limited cellular/power infrastructure. The existing system architecture consists of a gateway […]

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Evaluer la menace des limaces exotiques aux plantes herbacées du mont Saint-Bruno

La propagation d’espèces exotiques envahissantes constitue une cause principale de la perte de la biodiversité et les extinctions causées par ces dernières sont dix fois plus importantes que celles causées par les espèces indigènes à l’échelle planétaire. La présence du complexe de la limace exotique européenne, Arion subfuscus s.l., a été confirmé dans les écosystèmes […]

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Development of data pipelines to support a regular reporting format for epidemiological insights and disease trends

Globally, there have been challenges in pulling together data, analyses, epidemiological insights, and unusual infection disease trends into comprehensive and regular reporting, that support pharmaceutical and life sciences organizations with timely intelligence for decision making. BlueDot has the knowledge and expertise to bring together these insights in a highly visual, easily understandable regular reporting format, […]

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Natural Speech Edit Classifier

Trebble.fm is building the next generation of AI-powered audio and video editing software for everyday creators. The primary objective of this project is to implement a practical classifier system that can determine whether a section of an edited audio file sounds natural after text-based editing operations. Our approach will be focused on building a production-ready […]

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Predicting Engine Failure from Vehicle Telematics

(1) Main activities of the partner Geotab is a global leader in telematics specializing in fleet management solutions to enhance operational efficiency, safety, and sustainability. For this project Geotab will be providing their vast collection of data from over 80,000 customers. Additionally, Geotab will provide the intern with support and structure within their data science […]

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Agentic AI for Automated Essay Scoring

This research project aims to develop an AI-powered essay grading system that is both cost-effective and highly accurate. The project will explore how a dual-agent AI system, one that optimizes the cost and another that performs prompt refinement, can improve automated essay scoring at scale. By using advanced techniques such as Retrieval-Augmented Generation (RAG) and […]

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Mapping the space of motion diffusion models to optimize performance

This research project focuses on optimizing the efficiency and performance of motion diffusion models for real-time applications in video games. Diffusion models have shown great potential in producing high-quality and diverse human motion animations, but are often limited by their computational demands. This project will explore different model architectures and optimization techniques to reduce their […]

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Inventing the Future of AI Applications

AXL is a venture studio focused on developing cutting-edge AI-powered applications. Their mission is to create the next generation of human-augmenting AI technologies by identifying real-world challenges and exploring novel technologydriven solutions. AXL conducts applied research in AI and Human-Computer Interaction, with a focus on product development and prototyping to fuel innovative startups. This project […]

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