La matérialisation de l’éthique en intelligence artificielle : Enquête sur le processus de consentement par et pour un agent conversationnel en santé mentale

Comme de nombreux outils numériques utilisant des techniques d’analyse de données et d’apprentissage automatique (machine learning), les agents conversationnels (chatbots) collectent et traitent une grande quantité de données sur leurs utilisateurs. Quand le type de conversation suscitée par le chatbot porte sur des enjeux de santé mentale, ces données sont d’autant plus personnelles et confidentielles. […]

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Self-optimizing Fabric for ENCQOR Network

This project is aimed to develop a next-generation network providing unprecedented quality of cellular service to Canadians and small and medium businesses, stimulating innovations and improving the quality of life of our people. Relying on the ENCQOR infrastructure, which is the first 5G network in Canada supported by three governments (Quebec, Ontario, and Canada), the […]

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Développement d’un Abribus Intelligent (AbI) en misant sur l’Internet des objets (IdO) : analyse des options de connectivité

Ce projet de recherche ancré dans la tendance des « villes intelligentes » vise à contribuer au développement d’un Abribus Intelligent (AbI) en misant sur les technologies de l’Internet des Objets (IdO). Il s’agit de transformer un abribus en un environnement connecté qui permette de détecter automatiquement et en temps réel les usagers à proximité […]

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Multi-Channel Audio-Visual Speech Separation

Speech separation – isolating different speech sources from a given mixed input signal – is a fundamental task in speech processing. It is a fundamental step in many applications, such as automatic speech and speaker recognition. However, speech separation is also among the most challenging tasks in speech processing. Recent studies involving deep models to […]

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Cloud-based Services for Interactive, Collaborative, Smart Cities Platforms

Canadian urban populations are increasingly aware of climate change and generally support mitigation strategies. But understanding how urban form impacts energy use and emissions is challenging. We propose to design, deploy and evaluate digital media tools that support collaborative exploration of urban design scenarios where some participants are joining from remote locations. Key elements of […]

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Évaluation multiméthode de l’engagement des spectateurs en contexte de jeu social

Le projet vise à comprendre les facteurs qui influencent les spectateurs d’un jeu compétitif à interagir pour influencer le jeu en fonction de leur partisanerie pour l’une des deux équipes sur le terrain. Avec des tests utilisateurs où on recrée l’environnement de jeu, on mesurera physiologiquement ainsi qu’à l’aide d’entrevues, l’intensité de l’engagement que le […]

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Sélection d’un ensemble d’amorçage pour l’apprentissage actif appliqué à la prédiction structurée

L’apprentissage automatique est une tâche d’intelligence artificielle où un algorithme apprend une certaine tâche à partir d’exemples. Ce projet a pour objectif de réduire autant que possible la quantité de tels exemples qui doivent être vus par un algorithme pour atteindre des niveaux de performance acceptables. La raison étant que ces exemples sont souvent produits […]

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Chain Certs: Development of a platform for organizational authenticity certificates creation

Blockchain is a decentralized and immutable data structure. The information stored on blockchain is tamper-resistant, immutable and transparent. Blockchain is an interesting platform for managing digital certificates without a central authority. Because paper certificates can be easily faked or tampered with modern computer skills. Additionally, using a central authority for issuing distributing certificates is inefficient. […]

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MalChain: Run-time detection of malicious virtualized components in Service Function Chains using machine learning

Intern will develop new methodologies based on system level logs to detect malicious activities in virtualized environments. To achieve this goal, intern must review the state-of-the-art and proposes new solutions to overcome the shortcomings of currently existing methodologies and introduce new functionalities. The proposed solutions need to be validated and published based on experimental results. […]

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NLP sentiment analysis for contact and support centers

In today’s competitive market, customer service has become essential to any company willing to expand and increase its business. Companies cannot afford to fall short of consumer expectations. With the recent progress in Artificial Intelligence (AI) and the impressive results in different industrial areas, companies are adopting AI techniques for customer service. Most of the […]

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Determining position, speed and stride length using machine learning with sensor fusion based on ultrawideband local positioning system technology

Sensors that track human movement are becoming more and more popular in all kinds of applications including healthcare, sport and general human movement. However, traditional sensors generally have problems tracking individuals indoors and they are not very accurate when measuring subtle movements. Using innovative technology, new wearable sensors have been developed to track human movement […]

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