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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

Tools and interactions that reduce the confusion of the online shopper and help her with decision making are very important for improving the shopping experience. Optemo provides a suite of intelligent e-commerce solutions for retailers, with the goal of creating an enjoyable user experience and increasing the conversion rate and customer satisfaction of retailers. The […]

Most cameras today, take photographs by measuring the amount of light in a scene. This means that they discard any information about the directionality of light, which results in a two-dimensional representation of the three-dimensional scene. We have developed a new type of camera that can detect the direction of light as well as image […]

Recent advances in applications of deep learning in natural language processing has provided potential opportunities in building robust information retrieval and conversational models that require far less hand-crafted features for understanding the intent of queries and ultimately building question-answering systems. In particular, there has been several advances in factoid question-answering systems and some recent attempts […]