| Project Title | Industrial Partner(s) | Academic Partner(s) | Project description |
|---|---|---|---|
| Towards a Deep Multimodal Similarity Learning for Text and Image Embeddings Fusion |  |
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A precise image classifier based on CNN and a feature extractor, structured as a complete online pipeline with preprocessing, postprocessing, evaluation, testing, training, and visualization modules. Includes a “zero-shot” text classifier using a transformer. |
| Open Source IoT Middleware AI-Based Robot Control for High-Mix, Low-Volume Production Sites |  |
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Development of an open-source IoT data integration platform, applicable to sectors such as healthcare, supply chain, and retail. It enables real-time tracking of objects and people via technologies like Bluetooth Low Energy or RFID and processes data in a standardized way. With its Pareto middleware, reelyActive now provides actionable data and neutral expertise to support organizations’ sustainable digital transformation. |
| Robot control using artificial intelligence for production sites with high diversity and low volume |     |
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Developing innovative solutions to address current and future manufacturing challenges in the context of Industry X.0. The projects were launched in response to major challenges identified in a highly diverse manufacturing environment. It is very difficult for SMEs dealing with high diversity to establish a continuous, fully automated production flow to offset labor shortages and reduce production costs in order to become more competitive on a global scale. |
| Real-time robot control and Data management in an Artificial Intelligence-driven powder coating process | |||
| Development of a systems-based approach and advanced analytical tools for the effective and sustainable digital transformation of manufacturing companies |  |
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This project aims to support ARIV in improving its services. It focuses on developing analytical tools and digital twins to optimize factory layout, production flows, and decision-making. Three subprojects focus on simulation, roadmap methodology, and the traceability of production tools. |
| Data extraction and classification for custom manufacturing |  |
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This project is developing an advanced supplier data profiling platform for custom manufacturing. It uses natural language processing and large-scale language models to extract and refine company descriptions. This approach makes it possible to identify manufacturing capabilities and create an optimized supplier directory. |
| Trustworthy and Interpretable Persuasive AI: Argumentation, Emotion, and Internal Decision Validity in Large Language Models |  |
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This project explores how Large Language Models (LLMs) encode the interaction between argumentative structure and emotional stance, and how this interaction influences belief formation in both users and AI systems. The goal is to develop interpretable, reliable, and human-centered AI tools suitable for sensitive applications and responsible digital transformation. |
| “Made in Quebec,” a digital platform designed to foster collaboration between innovative entrepreneurship, the scientific community, and the manufacturing sector |
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Development of a digital platform to help incubators identify strategic levers that promote local manufacturing and collaborative innovation, drawing on the concepts of “business platforms,” social manufacturing, and open manufacturing. The platform will facilitate connections between startups and partners, support entrepreneurship and spin-offs, and contribute to research on the role of digital platforms in collaborative innovation applied to the manufacturing sector. |
