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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DevOps - Événement Les Affaires
Le CRIM est fier d'être partenaire de la 3e édition de la conférence DevOps - Passez de la théorie à la pratique pour une implantation réussie organisée par les Événement Les Affaires. Présentation en ligne.
Recent news
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UEAT and CRIM: A Win-Win Collaboration
CRIM helps UEAT develop an online food delivery suggestion engine based on consumer preferences.
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
