Applying Deep Learning to Optimize 3D Pose Estimation from Monocular Video

REP is an athlete development platform for building better, and healthier athletes. Inside the REP platform are computer algorithms that can “see” how people move, and the accurately estimate how they are moving in three dimensions. The REP platform can then compare models of how you move, to models of how experts move. This comparison […]

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An Integrated Mobile Communication Environment for Healthcare Professionals and Patients: Analysis, Prediction and Recommendation

Think Tank Innovations Ltd is a company active in the healthcare domain. The company is interested in expanding their current working system Sharesmart application by benefiting from advanced technology to develop an integrated environment for healthcare solutions in order to better service a wider community locally and globally. Students to be involved in this project […]

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Investigating how user interfaces impact scalable network displays

IOT technology is a brand new, and rapidly growing field. Currently, there are no best practices published in the design of real-time, dynamic network displays. Our project focuses on developing and testing new business processes, user personas, and design-guidelines associated with these types of displays in a real-world environment. The findings from this work will […]

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Modeling Human Cell Phosphorylation Network

It is believed that defects in the human cell phosphorylation network are related to at least 400 different diseases such as Cancer, Alzheimer, and Diabetes. The goal of this research is to model the components of the cell phosphorylation network (e.g. kinases, substrates, phosphatases, and SH2-PTB domain proteins) and their interactions, and ultimately to build […]

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Advanced Analytics for Credit Unions

The worldwide data explosion would emphasize on importance of knowledge discovery from massive, heterogeneous, and dynamic volumes of information (Big Data). Similar to other industrial organizations, Credit union industry deals with massive amounts of structured (e.g. customer demographics and transactional data) and unstructured (e.g. email, social media data, comments) data which they have not utilised […]

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Intégration de la réalité augmentée et de la réalité virtuelle dans un contexte de formation

Les systèmes de réalité augmentée (RA) et de réalité virtuelle (RV) ont récemment été implémentés dans divers secteurs professionnels, notamment dans les domaines de l’éducation et de la formation. Ces systèmes permettent, aux moyens de casques et d’écouteurs, de plonger les utilisateurs dans des environnements réels pour la RA, mais qui comportent des éléments virtuels […]

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Agent TALStat

Amélioration des performances et du processus de mise-au-point d’agents virtuels (AV) selon une approche hybride combinant du traitement automatique de la langue ou TAL (natural language processing), de l’apprentissage statistique (machine learning) et du génie cognitif à base de règles (les outils et API de Coginov). Notamment, nous expérimenterons l’utilisation de synonymes en contexte et […]

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Accelerating Phase Unwrapping

The project aims at enhancing performance and efficiency in InSAR (Interferometric Synthetic Aperture Radar) systems. Such systems are used to measure displacement or deformation of any object on earth. Both environmental and industrial studies can benefit from projects like this, as it will help them make decisions based on a more realistic view of current […]

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Efficient Computations on Encrypted Data Stored in the Cloud

Systems today often handle massive amount of data with little regard to privacy or security issues that may arise. This problem has become more acute as more and more individuals and organizations are using cloud-based data storage. Encryption techniques has often provided a key role in protecting sensitive information, however many challenges remain in using […]

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Localisation et reconnaissance de véhicules routiers à partir d’images 2D

Le but de ce projet est de développer des algorithmes intelligents capables de reconnaître et de localiser en temps réel des véhicules filmés par des caméras de surveillance positionnées le long d’axes routiers. Alors que la plupart des méthodes issues de l’état de l’art utilisent de l’information vidéo pour détecter et reconnaître des véhicules, notre […]

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Investigation on object recognition on very large volumes of image data

Istuary Innovation Labs, Inc partners with innovators, entrepreneurs, technical talent and experts in North America to build technology companies for fast-growing markets, such as China, and to capitalize on quickly expanding and unmet demand. Founded in 2013, Istuary’s core business consists of Innovation Labs and Idea Labs. We partner with Istuary Venture Capital to fund […]

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Application des algorithmes intelligents pour la classification des flux de données (RSS, Alertes Gmail) : Une étude de cas de l’autisme

L’exploration de données est le processus d’acquérir des modèles, des connaissances et des informations à partir d’un ensemble de données et les transformer en une structure compréhensible et explicable pour une utilisation à l’avance. Dans notre application, un algorithme intelligent nous aide á gagner du temps et bien s’assurer de la concordance de l’article au […]

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