The goal of this proposal is to make the most advantage of the recently developed technique of Frequency domain Optical Parametric Amplification (FOPA) by pushing this technology to unprecedented levels. The IP has been protected by the group of prof. François Légaré from INRS-EMT. The main inventor, Bruno Schmidt, has founded few-cycle Inc. to commercialize […]

Machine learning (ML) applications have shown remarkable performance in vanous intelligent tasks but high computational intensity and large memory requirements have hindered its widespread ubhzation in embedded and Internet of things devices due to resource constraints. Many optimization techniques have been proposed previously for domain specific architectures. These optimizations will affect an embedded device differently. […]

La première expérience de jeu (les premières 60 à 90 minutes) est déterminante, car c’est durant cette période que le joueur décide s’il aime le jeu, s’il désire continuer à jouer, et s’il peut le maîtriser. Relativement à l’apprentissage du jeu, le jeu propose un tutoriel visant à habileté le joueur au regard des principales […]

Notre étude a pour objectif d’évaluer les habitudes de jeux chez les enfants âgés entre 4 à 12 ans. Nous souhaitons préciser les profils de joueurs et les types de jeux en fonction des tranches d’âge et du sexe, mais aussi de comparer l’usage entre des enfants avec et sans difficultés développementales. Nous aimerions aussi […]

This Project is an continuation of our SIGGRAPH Asia 2017 paper on “Learning to Group Graphical Patterns”. The paper introduced a novel deep learning approach for grouping discrete patterns common in graphical designs. The approach was based on a convolutional neural network architecture that learns a grouping measure defined over a pair of pattern elements. […]

The objective of this proposal is to study Littlewood cyclotomic polynomials of odd degree. In algebra, the cyclotomic polynomial is one such that has all its roots on the unit circle. Since all the coefficients of Littlewood polynomials are -1 or +1, its associates a finite binary sequence with -1 or +1 entries. Therefore, their […]

This project will expose the intern to key design, implementation, and evaluation research activities in human-computer interaction (HCI). We have recently started exploring the concept of social curation of software help content by developing a novel web-based platform, Social CheatSheet, that overlays relevant community-curated instructions and multi-step tutorials atop any web application and offers an […]

System performance can be analyzed by measuring its operation, and by studying a performance model. Each has advantages: measurements have fidelity to the actual system, while models have predictive power. This work will join the two approaches, by creating a model from data collected from traces. If successful, this model will help Ciena to understand […]

The proposed study expands on my ongoing research into the intersection of heritage conservation and the generation of architectural waste. Specifically, it understands the relationship between building demolition and heritage conservation to be both technically and conceptually linked. With this, the study addresses the “crisis of accumulation” both of heritage sites (Harrison, 2013) and growing […]

Despite the fact that neural networks have been widely applied in practice, training such networks can suffer from slow convergence, poor local minima and some other difficulties such as catastrophic forgetting. Such shortcomings severely undermine the applicability and usefulness of neural networks. The objective of this project is to identify the reasons behind such difficulties […]

The main objective of this project is to investigate, develop and evaluate state-of-the-art computer vision and machine learning techniques, which are suitable for accurate modeling and recognition from large-scale video datasets that are weakly labeled. In particular, we will focus on the learning of visual recognition models for an application area of interest to SPORTLOGiQ […]

Voices.com, the largest online marketplace of voice talent, have identified Machine Learning as an enabler for future growth. In particular, incorporating Natural Language Processing (NLP) into structured queries and automatic classification of sample recordings. The first phase of this research will use machine learning to identify and train an NLP learnable parser. The second phase […]