Automatisation intelligente de la production de croquis de localisation pour les infrastructures gazières à partir de données historiques et d’annotations assistées par l’IA

Énergir est une entreprise québécoise spécialisée dans la distribution d’énergie, principalement du gaz naturel. Elle développe également des solutions en énergies renouvelables comme le biométhane, l’électricité et le solaire. Engagée vers la carboneutralité, elle accompagne ses clients dans la transition énergétique. Énergir reçoit environ 50 000 demandes de localisation par année via le système Info […]

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GenAI-Counselor: An AI-Powered Genetic Counseling Assistant for Genetic Report Interpretation and Patient Guidance

GenAI-Counselor is an AI-powered genetic counseling assistant developed by Ebovir Biotechnologie Inc. to bridge the gap between complex genetic test results and patient understanding. By combining domain-specific knowledge bases (e.g., ACMG, ClinVar, GeneReviews), report parsing, personalized patient modeling, retrieval-augmented generation (RAG), and large language models (LLMs), the system delivers clear, clinically grounded explanations of genetic […]

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Robitaille Équipement : Intégration de l’intelligence artificielle dans le processus de prix de vente

Robitaille Équipement : Intégration de l’intelligence artificielle dans le processus de prix de vente Principales activités du partenaire : Robitaille Équipement inc. fournit à ses clients, à travers la province de Québec et les maritimes, des pièces d’usure pour la machinerie lourde et des pièces et équipements pour le déneigement. Qu’il s’agisse de pièces ou […]

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Decoding the Developmental Gene Regulatory Mechanisms of Schizophrenia and Bipolar Disorder Using Genetics and Single-Cell Epigenomics Data

This research project will explore how certain genetic differences may increase the risk of developing mental health conditions like schizophrenia and bipolar disorder. These conditions often begin in the teenage years or early adulthood, but researchers believe that early brain development, before and after birth, plays a key role. The intern will use powerful computer […]

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Knowledge Graph based AI development

Knowledge graphs are a means of structuring semantic knowledge that can be used to increase AI reliability. In our applications, Large Language Model (LLM) chatbots are not on their own able to meet 100% accuracy goals for our scenarios, and we use the knowledge graph to reflectively validate answers before presenting them to the user. […]

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Horloge et pilulier connectés Idem : implantation et évaluation des bénéfices en contexte de soutien à domicile des personnes aînées

Ce projet vise à implanter une technologie combinant une horloge intelligente et un pilulier connecté et à en évaluer l’impact sur l’autonomie des personnes aînées recevant des soins à domicile. Cette solution, conçue au Québec par la compagnie Eugeria, facilite la prise de médicaments en offrant des rappels visuels et auditifs tout en permettant aux […]

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Investigation on the Enhancement of Design and Manufacturing Processes through the Integration of Large Language Models and Vision Models

In the world of design and manufacturing, there is always a need to supply certain goods (parts, assemblies, materials, etc.) from a manufacturer to a buyer. In most cases, there is a wide variety of procurement options, and choosing the right supply is a complicated process that requires taking multiple factors into account. The optimal […]

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Improving tropical tree biodiversity mapping from drone imagery to support the scientific study and conservation of tropical forests

Rubisco AI is a startup that aims at monitoring forests worldwide to study their biodiversity using high resolution drop imagery. One of their core applications is to monitor tropical rainforest where tree identification and mapping is currently a very hard task: a single local biologist expert can only identify ~20 individual trees per day due […]

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Digital Twin Technology in Urban Planning: Housing, Biodiversity, and Infrastructure – The case of Dieppe & Moncton (NB)

Rapid urban growth challenges cities with rising populations, infrastructure demands, and environmental sustainability. Traditional urban planning, based on outdated models and fragmented data, struggles to address these complexities. Digital Twin (DT) technology offers a solution by creating dynamic virtual models of real-world environments using real-time data. By integrating sources like geographic information systems (GIS), sensors, […]

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Training Generative Tabular Foundation Models

Layer 6 is a machine learning research and engineering company owned by The Toronto-Dominion Bank. Most of TD’s transactional data is stored in relational database management systems in the form of tabular datasets, structured as rows and columns. While Large Language Models (LLMs) have revolutionized the handling of unstructured data (such as text, audio, and […]

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«Shallow Water Extensions to Complex Fluid Dynamics»

The realism and interactivity of large water bodies—such as oceans and rivers—are essential for creating immersive and dynamic open-world environments. With the rapid advancement in GPU computing power, physical simulation techniques are now a feasible solution for significantly enhancing the realism of water systems in real-time applications. Shallow water simulations, for example, provide efficient 2.5D […]

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Camions de déneigement, sécurité et leur résilience

Le stagiaire travaillera sur l’amélioration de la sécurité et de la connectivité des véhicules industriels en intégrant des technologies IoT (Internet des objets). Concrètement, il s’agira de concevoir et tester des systèmes intelligents permettant de suivre en temps réel l’état des véhicules, de détecter d’éventuels problèmes techniques et de sécuriser les données échangées. Une attention […]

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