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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Revolutionizing Real Estate Advertising with AI: An Automated Ad Creation System for Realtors

Our project aims to revolutionize real estate marketing with an innovative AI-driven advertising system that automates the creation and optimization of digital campaigns for realtors. Tailored for real estate teams and brokerages, the system leverages BASL’s extensive market insights and performance data to generate personalized ad content. With a user-friendly interface, team leads can prompt […]

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Valoriser les connaissances récoltées dans le cadre de la production d’une émission médiatique à grande écoute

HINT est spécialisée dans la création de contenu pertinent. Nous supportons les organisations en leur permettant d’exploiter le plein potentiel de leurs données et de leurs expertises pour créer du contenu personnalisé, pertinent et approfondi. Elle développe des outils de gestion de connaissances et de création de contenu dans le but de permettre aux organisations […]

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A needs assessment to identify gaps and opportunities for patient navigation programs for youth/young adults with mental health and/or addiction concerns in New Brunswick

The research team at the Centre for Research in Integrated Care (CRIC), at the University of New Brunswick, will be partnering with the research team at New Brunswick Social Pediatrics (NBSP). The main objective of this project is to inform the development and implementation of a patient navigation program in New Brunswick for youth/young adults […]

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A needs assessment to identify gaps and opportunities for patient navigation programs for youth/young adults with mental health and/or addiction concerns in New Brunswick

The research team at the Centre for Research in Integrated Care (CRIC), at the University of New Brunswick, will be partnering with the research team at New Brunswick Social Pediatrics (NBSP). The main objective of this project is to inform the development and implementation of a patient navigation program in New Brunswick for youth/young adults […]

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Automated Digital Asset Wallet Tracking & Visualization

This project will create a dashboard for the automatic tracking of digital asset investments. By using data directly from the blockchain, this dashboard will be more accurate and comprehensive than existing solutions. Further, much of this work is currently being done manually and using spreadsheets by the partner, with this dashboard the expect to 3x […]

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Integrating AI with ITSM for Smarter Support and Workflow Automation

This project aims to develop and apply AI technology within an IT Service Management (ITSM) system to improve IT support and efficiency. By training Freshservice’s Freddy AI using real data, we will enhance the accuracy of ticket handling, streamline repetitive tasks, and automate routine IT workflows. This will significantly reduce the workload of IT staff, […]

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Scaling USA-NPN Sampling Design using LLM Agents

This project, part of the Global AI Alliance for Climate Action, aims to improve how the USA National Phenology Network (USA-NPN) collects and balances seasonal plant and animal data. By using large language models (LLMs) and AI-driven workflows, the project will help guide citizen scientists toward underrepresented species and locations, addressing gaps in the current […]

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Venn 2025 Summer Intern

At Venn, we’re not just building a product—we’re revolutionizing how Canadian businesses operate. As a rapidly growing fintech startup serving over 3,000 Canadian businesses, our ambition is to streamline our internal processes as we scale towards supporting over 10,000 companies. To achieve this, we’re looking for a motivated individual to take ownership of high-impact projects […]

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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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