Offloading Data Fusion to Programmable Data Planes

Big data refers to a class of applications that operate on large amounts of data. One paradigm that fits the big data applications category is the Internet of Things (IoT). Millions of IoT devices continuously produce data and exchange information to support critical applications in different scenarios, such as smart cities and smart homes. As […]

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Conception d’une trousse d’analyse d’opportunités pour l’implantation d’une solution enrichissant les systèmes de GMAO existants

Les actifs, qu’ils soient des machines industrielles, les équipements médicaux, des bâtiments, des équipements informatiques, des infrastructures de transport, etc., ont une durée de vie. Malgré la variabilité de leur performance au cours de leur cycle de vie, les gestionnaires souhaitent que ces actifs conservent leur valeur marchande au maximum tout en minimisant les coûts […]

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High-frequency financial forecasting

Berkindale Analytics is a cloud-based company and wants to create a next-generation platform to provide both market data and packaged analytics to financial clients via direct download, interface, and dashboards accessible from a web portal. It is distinguished by its service arm that engages in data discovery, new analytics design, and ETL (“Extract, Transform, and […]

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Federated Learning on Sensitive Mobile Data (Python/Java)

At Lerna IA, we are building a private federated learning platform for mobile applications. Our technology allows mobile-first companies to learn about their app users without violating their privacy. Our novel security architecture speeds up the federated learning process by at least 50x, rendering it practical for real-world mobile set-ups by running the whole ML […]

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Estimation visuelle sécuritaire et explicable des conditions routières

Nous avons actuellement un prototype de systeme de vision artificielle base sur des reseau de neurones profonds entra1ne sur notre jeu de donnees proprietaire qui permet d’identifier les zones de construction et de detecter et lire les panneaux de limite de vitesse. Dans notre prochain de R&D, nous souhaitons tirer partie de notre reseau de […]

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Sequential anomaly detection with labelingcosts

In a number of data analytics domains, there is a need for detecting the situations when something outside of the normal conditions is happening. The goal of this project is to develop novel algorithms that learn to distinguish these normal and anomalous patterns through minimal interaction with a human user, while allowing complex data patterns […]

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ML/DL for Action Detection in Movies for Haptic Effects Generation

Haptic signals are sent to movie or home theater motorized seats in order to create an immersive environment to the viewer by applying movements and vibration to the seat. The haptic signals are currently created using a tedious manual design process. These signals need to be matched and synchronized to specific actions in the movie, […]

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Improving Cognitive and Collaborative Support for Security Threat Hunters

Threat hunters play a critical role in ensuring the security of Canadian corporate and government agency systems. Threat hunters monitor how data, systems, and networks are accessed to be aware of possible threats that may occur before systems or data sources are compromised. Working in teams, threat hunters generate hypotheses and proactively analyze massive amounts […]

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Digitizing the Financial Advisory Process (Software Development) – AdvisorFlow

The goal of this project is to further digitize the financial advisory process for Canadian financial advisors and their clients. AdvisorFlow is an integrated software allowing financial advisors to streamline first-mile client discovery, document collection, report generation, and more. In its first year of operation, the focus was developing a minimum viable product and gauging […]

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