Expertise and technologies
Our unique range of skills and expertise allows us to solve a wide variety of complex problems. Many of CRIM’s expertise are now acknowledged worldwide,
positioning us as a partner of choice for assisting you in gaining a competitive advantage.
CRIM’s expertise are grouped into three principal axis:
Analytics and artificial intelligence
This refers to the areas of video processing and analysis, imagery, audio, text, semantics and natural language processing.
- Knowledge engineering, ontology and thesaurus
- Advanced search engine
- Artificial intelligence
- Video-surveillance
- Indexing images or videos from their content
- Video and image analysis
- Emotion detection in speech
- Finite-state transducers
- Copy detection
- Audio content indexing
- Audio analytics
- Voice biometrics
- Speech recognition
- Solutions to complex problems
- Natural language processing (NLP)
- Data science
- Remote sensing and GeoSpatial analysis
Human-related technologies
This refers to the areas of voice, movement, emotions, augmented reality and the user activity-related aspects.
Software science and technology
This refers to the areas of architectural approaches in client/cloud computing/mobile technologies, their test modeling and automation, code generation, model inference, development and test methodologies.
- Cybersecurity - data security
- Web Architectures
- Automated generation of distributed system code
- Model inference
- Modeling, testing and validation of web-based applications
- Tests of parallel and distributed systems
- Dynamic and static analysis of multithreaded java programs
- Parallel processing
- HTML5, CSS3 and advanced Javascript
- Technological evaluations
Discover All CRIM's Expertise
Upcoming event
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Gestion et leadership au temps de la Covid - Événement Les Affaires
Le CRIM est fier d'être partenaire de la 1ère édition de la conférence Gestion et leadership au temps de la Covid organisée par les Événement Les Affaires. Présentation en ligne.
Recent news
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Done teste son engin prédictif pour l’autocomplétion de feuilles de temps intelligentes avec le CRIM
« La valeur qu’on a apportée, selon moi, c’est de réduire l’incertitude. Nous arrivons avec une expérience connue sur des réalisations de projets en AI.» - Michel Savard, CRIM
Recent Publications
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An end-to-end approach for the verification problem: learning the right distance
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The Indigenous Languages Technology Project at NRC Canada: an empowerment-oriented approach to developing language software
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On the use of the i-vector speech representation for instrumental quality measurement
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Securing the Authentication Process of LTE Base Stations
