Développement de nouveaux algorithms pour accroître la precision, la robustesse et la reproductibilité d’instruments intelligents en réponse aux exigence de l’industrie

Le monitoring en temps réel des bioprocédés permet d’augmenter les performances et de réduire les pertes. La principale difficulté provient de la quantité limitée d’information accessible en temps réel et des phénomènes complexes et fortement non-linéaires en présence. Ainsi, les algorithmes statistiques conventionnels ne permettent pas d’interpréter adéquatement et avec la précision requise en pharmaceutique […]

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Anomaly Detection in Highly Noisy Signals from Electrical Rotating Machines

Equipment failure is the primary source of unplanned downtime in industries working with rotating electrical machines. Fault detection at the early stages is an essential solution for reducing this downtime. Condition monitoring of machinery is the process of capturing and monitoring parameters such as vibrations to identify a developing fault. This project uses the data […]

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Cloud Technologies, Operation and Training Project with Ocean Supercluster

CARIS is leading a project with the Ocean Supercluster for the development of new innovative cloud technology for delivering CARIS software applications in a Software-as-a-Service (SaaS) model. CARIS tools used worldwide for the processing and management of hydrographic data will be deployed over cloud services, lowering the capital costs through a SaaS subscription business model, […]

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Towards Automated Recommendations for Taxonomy Expansion

The partner organization is building a knowledge graph to integrate the knowledge in the SharePoint documents/pages of each domain, which will be used as the central information base to support various information retrieval tasks such as intelligent chatbots that can automatically identify relevant information. A critical element of the knowledge graph is a taxonomy of […]

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Animal identification and emotion detection using deep convolutional neural networks

According to a recent report, when it comes to animal protection laws Canada has not been performing adequately, receiving a grade of “D” on the Animal Protection Index (API). The low marks received were for not having adequate legislation protecting wildlife in captivity, working animals, farm animals, animals used in research and companion animals. At […]

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NLP-empowered Automation for Integrity Assessment in Legal Documents

Natural Language Processing (NLP) is a learning-based technique under the general scope of Artificial Intelligence (AI). NLP has shown its benefits in many application, including finance, accounting and auditing. Differing from semantic extraction in social media, text interpretation for auditing has the legal constraints, which is crucial in determining whether an invoice or a contract […]

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Behavioral mapping Using Machine Learning and Natural Language Processing to Predict Individual Behaviors and Team Dynamics

This project tackles the issue of knowledge incompleteness and lack of domain coverage in resume and job posting matching caused by the exploitation of domain-general resources. A variety of co-operative semantic/ontological resources will be used to filter out irrelevant resumes. A two-way (candidate to job and job to candidate) semantic-based automatic suitability ranking is proposed. […]

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Assistance tools to build taxonomy of skills and to search for experts

In many applications, we need to find the right person with the required expertise (skills) for some task. To enable this, it is necessary to extract and organize the skills of different persons in a taxonomy. This project aims at developing a taxonomy of skills for the National Bank of Canada. Currently, a small taxonomy […]

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