Speeding up Federated Learning Convergence using Transfer Learning

The recent advances in machine learning based on deep neural networks, coupled with the availability of phenomenal storage capacity, are transforming the industrial landscape. However, these novel machine learning approaches are known to be data hungry, as they need to tune a huge number of parameters in order to perform well. As more and more […]

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Umaneo : Identifier les requis d’un appel d’offres

L’objectif de ce stage est de développer une méthode et un prototype pour le repérage automatique des requis dans des appels d’offre par apprentissage automatique avec un réseau de neurones. Les données proviendront d’une banque d’appels d’offres du gouvernement fédéral. Dans un premier temps, le travail sera réalisé avec des appels d’offres en anglais, mais […]

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Quantolio Insights: Augmenting the investment management process through AI & ML

The project consists of developing new methodologies to augment the investment management process through AI & ML. To this purpose, the project will be divided in two subprojects : 1) Optimization of error detection and error correction in the data cleansing process. In every data science project, data scientists and analysts spend a considerable amount […]

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Apprentissage automatique pour prédire le temps de charge et la consommation d’un véhicule électrique

L’objectif de ce projet de recherche est de déterminer avec précision le temps nécessaire pour recharger un véhicule électrique d’un pourcentage X à un pourcentage Y en utilisant des données historiques fournies par AddÉnergie. Il sera également évalué s’il est possible d’utiliser ces données historiques pour développer un modèle permettant de prédire la consommation d’un […]

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Développement d’un algorithme de reconnaissance d’images de papillons tropicaux

Le nombre d’espèces qui nous entourent est si important qu’il peut être ardu, même pour les spécialistes, de toutes les identifier. Cela est particulièrement vrai pour les insectes. De plus, avec l’avènement des technologies mobiles de l’information, la quantité et la qualité des images disponibles n’a jamais été aussi importante. Grâce aux appareils photos numérique […]

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Financial Portfolio Reconciliation using Deconstructed Deep Learning

Citco provides financial products and services to hedge funds, private equity and real estate firms, investors, institutional banks, Global 1000 companies, and high net worth individuals in the Netherlands and internationally. The previous research was focused on optimizing operations by automating trade resolution and reducing risk using machine learning. Given its success in matching individual […]

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Fluids and Fracture for Video Games

Animated fluid effects based on physical simulation have been a staple part of the visual effects industry. They are characterized by offline simulation and rendering that produces high-fidelity dynamics and visuals. As the technology for computer games advances, the opportunity to create such effects in real-time as either a playback technique or dynamic simulation is […]

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Water Monitoring using Flocks of Flying Robots

This project aims at developing an automated system for water sampling along the coast of Nova Scotia using a swarm of flying robots. Currently, water is sampled by hand by teams of 2-5 people each on a number of boats, that must regularly travel to different sites, collect samples, and bring them to land for […]

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Full Stack Engineer position at VIS Technology

The project involve developing a mobile application which is meant to prove the research that has been conducted by VISTech over the past two years in a practical real-world environment. This proof of concept serves a pivotal role in validation of the company’s technology. The initial phase of the project entails building an IOS application […]

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Hybrid encryption and intrusion detection for an e-commerce database

The recent rapid growth of web-based applications and information systems has increased the risk exposure of databases and, thus, the security and protection of data from internal and external threats is more crucial than ever. Damage and misuse of data affect not only a single user or application, but may have disastrous consequences on an […]

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Data Markets for Blockchain-based Federated Learning in Health Care

Artificial intelligence (AI) is a promising technology for patient-centric health care, for example, to diagnose diseases, or to recommend therapies. However, deploying AI in health care is challenging. The creation of AI systems typically requires large amounts of data, but health data is kept private due to high privacy requirements. Furthermore, AI in health care […]

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AR Marine Visualization System

A sailor needs to obtain real-time information about the status of the sailboat and also derive an accurate approximation of the behaviour of the surrounding environment, in order to safely and successfully sail a boat. We also aim to investigate how providing vital knowledge using an immersive approach will affect the cognitive load on the […]

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