Real-time AI-based Anomaly Detection of 5G Network Latency

LatenceTech offers a cloud analytics and monetization solution for cellular networks with a special focus on ultra-low latency connectivity. Using SAAS and AI, our solution helps mobile operators, telecom vendors and advanced industries to track, predict and secure the new benefits of 5G cellular technology. This project consists in creating ML Models to perform near […]

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Climate Investment Impact AI Model

The internship project will contribute to Baastel’s overall ambition to use AI modelling techniques in the monitoring and evaluation of international development projects, specifically in its climate change and disaster risk reduction practice. Baastel’s objective is to increase the amount of public and private funds available for climate change mitigation investments, in order to help […]

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Incorporating the behavior of caregivers using discrete choice models for assigning visits and/or work schedules to caregivers in home healthcare services planning

The partner organization, AlayaCare being a provider of cloud-based home healthcare software services, will allow us to have access to real-world data as well as field realities for home health care services planning. The responses from the patients as well as the caregivers used to build the behavioral models (discrete choice models) will be obtained […]

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Optimized lighting and defoliation strategies to increase yield and chemical uniformity in Cannabis sativa

Cannabinoid uniformity plays an important role on the quality and marketability of cannabis. Several strategies to optimize cannabinoid uniformity have not been extensively researched to date. The objective of this study is to evaluate lighting and defoliation strategies to maximize yield and uniformity of cannabinoids throughout cannabis plants. A randomized block design will be used […]

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Analysis of Canadian Western Red Spring Wheat Using Near Infrared Spectroscopy

The proposed research will develop a reliable analytical method for the quantitative analysis of grain grading factors for Canadian Western Red Spring wheat using near infrared spectroscopy (NIRS). Most commercially available near infrared spectrometers used in agricultural applications require significant expertise, a large footprint, a controlled environment, and are prohibitively expensive. The NIRS technology is […]

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Robot control using artificial intelligence for high diversity and low volume production sites

NeuroBotIA aims at tackling problematics of manufacturing SME such as the shortage of qualified workers. Currently, Canada is facing a labor shortage of 39% which will increase overtime due to younger generation interest in professional job and population growth decrease. Therefore, NeuroBotIA will develop technology to alleviate labor shortage using intelligent robots. This project aims […]

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AI-based Model Predictive Control for Energy Management in Smart Buildings using Wireless Sensor Networks

The purpose of this project is to make use of the AI algorithms to enhance the energy consumption related to indoor heating ventilation and air conditioning (HVAC). The project involves collecting data using wireless sensors network, developing thermal dynamic model of a building, and developing Model predictive control (MPC) solver that reduced the energy consumption. […]

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Detours: Location intelligence for Inclusive mobility in disruptive sidewalk conditions

Temporary disruptions in the pedestrian environment, such as construction or snow, make it difficult for people with disabilities (PWDs) to reach destinations in their community. Cities struggle to communicate alternate routes that are accessible to everyone when these disruptions occur. Grounded in a context of data valorization and transfer for the development of smart and […]

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Foundational Models for Drug Discovery

A foundation model (FM) is any model that is trained at scale on a broad dataset and can be adapted (e.g., fine-tuned) to a wide range of downstream tasks; current examples include BERT, CLIP and GPT-3. In this project, we investigate the challenges of building foundational models for drug discovery: capturing multi-modal information, explainability, and […]

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Génération automatique de modèles de couronnes dentaires à partir des scans oraux

Une des tâches les plus exigeantes pour les techniciens en conception et fabrication assistée par ordinateur est la création de modèles anatomiques 3D spécifiques à chaque patient. En effet, les techniciens doivent traiter manuellement les scans volumétriques de la bouche des patients pour extraire les modèles 3D des dents existantes et concevoir les dents manquantes. […]

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Penser et développer un Écosystème régional d’innovation au Québec : La planification stratégique d’un programme d’innovation à l’échelle régionale

L’équipe de Stratégies Grenier offre son expertise aux décideurs politiques, aux leaders communautaires, aux dirigeants économiques et aux entrepreneurs québécois, canadiens et d’ailleurs afin de réaliser leurs grandes idées. En 2021, l’équipe de Grenier Stratégies fonde le Forum Innovation, un réseau collaboratif voué à la promotion et à la diffusion de la culture de l’innovation […]

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Support to develop and implement business strategy for a global online knowledge learning hub to national development banks – IFCL

International Financial Consulting Ltd. (IFCL) is a leading Canadian consultancy, well established in enhancing development finance in Canada and globally through strategy work, particularly with National Development Banks (NDBs). Our partnership with Mitacs and McGill University to support a Business Strategy Internship would allow us to innovate and refine our current business model, marketing approach […]

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