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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McLeod Lake Moose Enhancement Project

This project is intended to provide information regarding the potential impacts and benefits to wildlife habitat resulting from varying forestry harvest practices, with an emphasis on moose, by studying the short term differences among plant species, soil moisture, light, and wildlife use.

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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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Les anthroponymes chez les Anicinabek et les cérémonies d’attribution des noms : regards sur la littérature et les archives

Cette recherche vise à explorer l’importance des noms et des cérémonies d’attribution de noms pour les peuples autochtones, particulièrement les Anicinabek. Le projet se concentre sur les noms comme éléments essentiels de l’identité et comme indicateurs de la vitalité de la langue anicinabe. L’étude cherche à approfondir notre compréhension du système de dénomination traditionnel anicinabe […]

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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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Safety constrained learning for industrial manipulators

1) Ocado group builds the Ocado Smart Platform, an end-to-end ecommerce, fulfilment, and logistics solution for smart online grocery businesses. This team develops cutting edge technologies across robotics, artificial intelligence, machine learning, and data science to support various stages of warehouse automation and logistics. Each application requires robots with specific capabilities tailored to different tasks. […]

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Scaling Tabular-Timeseries Foundation Models for Large-Scale Financial Data

TD Bank, as a leader in financial services, relies on predictive modeling to improve customer insights, risk management, and fraud detection. However, current machine learning approaches struggle to scale effectively across TD’s vast transactional datasets, leading to challenges in handling heterogeneous financial products, long-term forecasting, and multi-task learning. This project aims to address these challenges […]

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Building a semi-supervised machine learning model to predict biomolecular condensates

Princess Margaret Cancer Centre belongs to the University Health Network (UHN), Canada’s leading biomedical research organization. The Centre focuses on cancer research across various fields, including genomics, informatics, signaling, health services, and biophysics. Dr. Kumar’s lab is currently investigating the consequences of genomic alterations in intrinsically disordered regions (IDR). IDRs are present in proteins that […]

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Agent Learning in SLMs

The partner organization Layer 6 AI is a leading artificial intelligence research lab and a part of TD Bank Group. It focuses on advancing machine learning and deep learning technologies to drive innovation across various sectors including financial services. The company specializes in AI-driven solutions such as predictive modeling, recommendation systems, and natural language processing. […]

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