Mercator AI – Project Fit Innovation

Scope of work: Develop and implement data science models to identify construction projects relevant to our clients, before they go up for bid. Apply machine learning algorithms to public and proprietary datasets to recommend contract opportunities at as early stage as possible in the building process. Develop and implement logic to be applied to this […]

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Pour une écologie sonore urbaine à travers la diffusion d’oeuvres originales dans l’espace publique

Cette recherche-création vise à sensibiliser les habitant·e·s à l’écoute de leur environnement sonore à travers la diffusion d’oeuvres sonores originales dans l’espace public. Grâce au dispositif de diffusion “Essaim” conçu spécialement pour la diffusion prolongée en extérieur, les oeuvres sonores à caractère écologique pourront être entendues dans des parcs, des passages ou des places publiques. […]

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Vein depth estimation with Christie VeinViewer

The proposed project is aimed at developing image and signal processing algorithms to enable the Christie VeinViewer® device to determine approximate depth of veins. This is a challenging research project due to the limited amount of information available and real-time fast processing required. The VeinViewer® uses a single infrared wavelength and a CMOS camera to […]

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Cyber Threat Detection via Machine Learning

Recent cyber-attacks have overwhelmed many high-profile businesses. These attacks often exploit multiple types of vulnerabilities to infiltrate into target systems in multiple stages. Cyber threat hunting in enterprises is the process of proactively and iteratively searching for malicious activities in various types of adversaries that have entered the defender’s network. This process is critical for […]

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Apprentissage par transfert pour les modèles spatio-temporels de prédiction de la pollution

Le programme de recherche vise à développer des méthodes de transfert d’apprentissage (“transfer learning”) d’un espace spatio-temporel à un autre avec pour finalité la conception d’une nouvelle génération de modèles de machine learning capables de prédire des phénomènes de pollution hyper locale même en l’absence de données d’entrainement à forte granularité.

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Menya : Inspection visuelle de structures

Menya Solutions est la division spécialisée en intelligence artificielle (IA) de la compagnie Levio, une entreprise de transformation numérique en pleine croissance basée à Québec et comptant maintenant plus de 1600 conseillers. Chez Menya, nous développons des logiciels pour l’aide à la décision, la valorisation des données, le contrôle automatisé et la vision robotique pour […]

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CYA.Live

In today’s world, the video chat and conferencing has been a necessary part of overall routine life (both personal and work). Currently, the video chat and broadcast technologies require lots of bandwidth to transmit high quality data. In overall project, we aim to make video transmission data intelligent by using the state-of-the-art AI technology. This […]

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Photonic artificial intelligence to support unconditionally secure communications

The next generation of smart Internet services requires a high level of data protection for sensitive information exchanged (e.g., bank transactions, defense operations). The forthcoming advent of accessible quantum computation will put at risk any classical encryption protocols. Unbreakable data protection, against cyberattacks or unauthorized access, can be guaranteed by quantum encryption protocols, such as […]

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Hybrid Architectures for Spoken Language Understanding

Most approaches to intelligent, speech-enabled devices today in the research world involve training neural networks on prohibitively large amounts of examples, with little direct control over what is actually learned. On the other hand, this approach often cannot be applied in real-world settings where the required amount of examples does not yet exist, or the […]

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