For both aircraft assembly and maintenance, mechanics need to quickly access information about parts and determine part numbers. Part numbers can be retrieved from 3D models of the aircraft but locating such models within an airplane is very difficult, particularly on small mobile devices. An additional complication is that the objects to be recognized are […]

The main objective of the project is to upgrade the existing system at Gnowit to create a complex self learning automated decision support system. The system(crawlers) will automatically collect all the data related to any company, political system or a specific entity from the articles, blogs and reviews and create a more actionable report. The […]

Ce projet vise à développer et approfondir les connaissances et techniques nécessaires à la mise en oeuvre des algorithmes d’intelligence artificielle sur des données issues du monde réel. En partenariat avec de multiples acteurs industriels de la grande région de Québec, la Faculté de Science et Génie de l’université Laval, au travers de ses étudiants […]

It is not fully understood how structural brain connectivities give rise to functional brain connectivities. The objective of this project is to apply Deep Learning and Machine Learning techniques to explore the complex relationship between structural and functional brain connectivities and accurately describe this important structure-function relationship. A linear brain dynamic network model will be […]

Generative models enable the researchers to address multiple problems spanning from noise removal to generating novel samples with properties of the domain. Generative models are commonly studied for images and in this project the idea will be expanded to 3D structures or volumes. Single-particle cryo-electron microscopy (cryo-EM) is a technique to estimate accurate 3D structures […]

OPTIC is a state of the art piece of research software designed to allow computers to autonomously plan complex tasks, such as construction projects, rail timetables and other planning and scheduling tasks. Currently, OPTIC handles the scheduling process using a technique known as Mixed Integer Programming (MIP). In this project, the aim will be to […]

Recent progress on word and sentence embeddings has enabled efficient representation and learning of complex high dimensional probability distributions over rich text data. The proposed research aims at addressing some of the fundamental questions in this field: What are the natural mathematical structures on that latent spaces? How to find a meaningful basis? What is […]

We address the problem of 3D human body motion capture and prediction to be used in the context of a live music concert performances. The difficulty of capturing the motion of a performer in this context comes from the harsh environment in which it takes place that includes strong and varying lighting, smoke generators, and […]

Cancer develops from the accumulation of mutations in key genes, which drive disease progression in individual patients. Currently, cancer genomic analysis results in the reporting of dozens to hundreds of mutations and other genomic alterations, without providing any indication of which genes are the most functional, and relevant for the survival of the cancer cell. […]

Phenotyping is used to develop new strains of plants, understand plant-affecting diseases (phyto-pathology) and evaluate the effects of various substances on plants. A growing variety of sensors and sensor technology is used to gather data used for phenotyping, in a non-destructive manner, and this overall process of data acquisition and analysis is being automated, leading […]

This project will develop artificial intelligence techniques to identify characteristics in audio samples that relate to real-world descriptions of sounds. When humans listen to various samples of sounds of a same category, they intuitively affix qualitative words to these sounds. The objective of the research is to find ways to let an AI algorithm find […]

In this project the human body movement and its balance will be studied, and artificial intelligence-based algorithms will be developed in order to detect the body movement and the posture in real-time. Specific camera technology will be utilized in order to gather required data of the human movement and the environment. The data will then […]