L’infonuagique, et précisément la nouvelle génération de centre de données requièrent une nouvelle infrastructure réseau basée sur la virtualisation. Un des principaux services de l’infonuagique est le Service dit IaaS (Infrastructure as a service) nécessitant le déploiement de centre de données virtuelles offrant la possibilité d’être administrés des entités différentes (Multi-tenants). Les solutions actuelles de […]

La détection des défauts sur des images de thermographie infrarouge est considérée une tâche difficile et coûteuse en raison de la mauvaise qualité des images, du temps consacré à la présélection et prétraitement des images, la disponibilité d’experts et les faibles performances des méthodes semi-automatiques. Torngats, entreprise québécoise spécialisée dans les essais et évaluations non […]

Founded in 2011, StreamScan is an organization specialized in computer security operational. The company is composed of several experts in the fields of management security incidents, intrusion detection, security audit, penetration testing, security governance, security breach detection and of artificial intelligence applied to cybersecurity. StreamScan’s expertise is used by many cyber-victimized organizations attacks. Its incident […]

Le projet se sépare en deux grandes catégories soit en premier lieu l’analyse, la recommandation & l’amélioration d’un système de suggestions intelligentes et en deuxième lieu l’analyse, la recommandation & l’implémentation des outils de cybersécurité permettant la certification cybersécuritaire Canada.

Today, there is an abundance of social media and user engagement platforms. However, they are disorganized and unverified which creates unreliable engagement data. To explore new methods of creating an engagement platform, Veras Technologies Inc. will work with intern Md Hasan Tareque to research and develop a verified and secure engagement platform that leverages blockchain […]

As the underlying networks transition into 5G and 6G infrastructure, the optimal task performance across different WIoT devices with different energy consumption and computing power require coordination at both the software and hardware levels to maximize accessibility and minimize latency to support emerging applications. The proposed research will explore the various parameter space to determine […]

Industrial Internet of Things (IIoT) is a scalable platform that integrates devices over the internet and runs different services such as energy and facility management easier than SCADA and similar industrial control systems (ICS). These platforms shall be designed securely and manage devices in a safe environment. However, existing IIoT platforms are not secure by […]

The general goal of this project is to improve the downstream tasks by learning better representations of the data, especially multimodal data pairs, like image/text pairs or user/item interaction pairs. The user/item interaction data plays an important role in e-commerce, and analyzing these data can help improve the banking system, e.g., recommendation, risk control, and […]

Videns Analytics aide leurs partenaires à exploiter efficacement leurs données par le développement d’outils informatiques. Ils aident essentiellement leurs partenaires dans la transformation numérique. Grâce à l’expertise de Videns Analytics, les avancées technologiques peuvent être transférées durablement vers des partenaires québécois. Aujourd’hui, la plupart des entreprises, notamment au Québec, utilisent des outils simplistes (p. ex. […]

Softelo est une entreprise de développement de logiciels informatiques. Notre premier logiciel à ce jour se nomme Billmate et c’est sur Billmate que se concentrera le stagaire. Billmate est une application web multifonctions combinant Commerce en ligne, un outil de gestion des relations clients (CRM) et un outil de facturation. Notre outil vient centraliser les […]

It is extremely challenging for clinicians and health researchers to extract insights from unstructured text data at scale. Recently, there has been a significant advancement in Natural Language Processing. Large deep-learning models, most famous of which are the transformers, generate pre-trained embeddings and are developed to extract insights from massive amounts of text. This project […]

Solid State of Mind uses automatic methods to adjust the details of the architectures and learning methods (i.e., hyperparameters) for some of its algorithms. However, this process is often slow and costly in terms of resources and energy. Through this internship proposal, Solid State of Mind wishes to study the possibility of accelerating the automatic […]