Transfer learning in a Solar Radiation Forecasting context

This project is part of a larger effort towards the decarbonization of our energy by focussing more on renewable energy (eg. solar, wind). Hydro-Quebec is invested in this effort as it is a major provider of electricity throughout Northeastern America. Many renewable energy sources are highly variable; it is therefore important to be able to […]

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Moderniser les pratiques d’évaluation : la technologie au service de l’interdisciplinarité et du bien-être des enfants

Le présent projet innove en développant et en implantant un système d’évaluation de la fluidité graphique. En faisant appel aux technologies de l’information et à l’intelligence artificielle, le système d’évaluation permettra la saisie, l’analyse et l’interprétation de résultats d’évaluations conduites auprès d’enfants en milieu clinique. Pour ce faire, une version exploitable du Five-Point Test (e-5PT; […]

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Differentially private models for detection of previously seen data

Jumio is constantly facing fraudulent attacks of repeated nature when a series of similar images with minor changes are submitted. To be able to respond effectively it is necessary to be able to learn previously seen fraudulent data. At the same time we have to deal with very sensitive private data and therefore it’s becoming […]

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Indoor object detection for personal assistant for the blind

Humanware develops since 2003 a GPS-based dedicated device which helps a blind person to orient himself and guide him to his destination. In this project, we want to enhance the user’s experience by providing a better understanding of the environment by interacting with the device in a more natural manner. This project addresses two types […]

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Development of a microbiome relevant image-capture food analysis tool.

Phyla’s vision is to be the world’s first integrated solution for gut health through a digital health platform for those affected by Inflammatory Bowel Disease (IBD) and Irritable Bowel Syndrome (IBS). Phyla’s platform combines an at-home gut microbiome (intestinal bacteria) stool testing subscription and a mobile application for self-reported disease and lifestyle parameter tracking. It […]

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Augmentation de données et optimisation de l’espace latent d’un auto-encodeur variationnel (VAE) pour la détection de défauts et le pronostic des alternateurs hydrauliques

L’objectif du projet est d’automatiser la reconnaissance des signaux acoustiques et vibratoires d’une part, et des signaux de décharges partielles d’autres part, et ceci à l’aide d’un modèle d’apprentissage profond. Cette reconnaissance est la première étape du développement d’un modèle de pronostic et de suivi de l’évolution de la dégradation des alternateurs. Ces signaux sont […]

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AI-enabled molecular search database

The project aims to facilitate the research and development of new drugs by applying machine learning and deep learning to further develop an AI-assisted molecular search database. The company has an internal dataset holding more than a billion molecules. Two main challenges are keeping the molecule catalog updated and Searching for the desired molecule or […]

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Applying state-of-art NLP models to molecular representation

Molecular generative methods are at the heart of our computational platform. We use cutting edge deep neural networks in order to generate unseen molecules based on existing conditions or molecular space. Since external projects typically require different architectures, we are continuously expanding our generative methods toolbox with new approaches. This project aims to augment our […]

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Portrait photo segmentation and generation with Deep Neural Network

In this project, the main purpose is to develop a tool for facial image anonymization by replacing the face in an image with a fake, generated face. To have realistic looking generated images, it is essential for the generated face to have a similar pose to the original one and to be seamlessly harmonic to […]

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