The core value of Nureva is to provide reliable and easy-to-use audio-conferencing products that offer a good user experience and maximize productivity. The unique Microphone Mist™ technology unlocks new possibilities to pick up audio from anywhere in the room. One subtopic of this research is to investigate ML as it relates to sound event localization […]

La transformation numérique représente un sujet d’actualité pour les entreprises (Gagnon, 2022; Lord, 2023). Celle-ci fait référence à l’investissement dans les technologies de l’information et de la communication (TIC) afin de réduire les coûts d’exploitation de l’entreprise et d’accroître la qualité des produits et services offerts (Raymond, Pelletier, Sylvestre et Uwizeyemungu, 2023). Les TIC ont […]

Tri de données sous la forme d’image et entrainement d’algorithme pour inspection de qualité de fermeture de sacs. Traitement de signal analogique et apprentissage machine dans le but d’améliorer la performance d’un système de pesage à haute vitesse.

The intern will be participating in an interdisciplinary project to investigate how recent advances in machine learning, generative AI, and natural language processing (NLP) could be leveraged to improve education outcomes, both within the partner organization’s operations and in the broader Canadian education system. Through partnership with the partner organization (Cansbridge Fellowship) and the academic […]

In this research project, the intern will explore ways to detect hypovigilance with vital signs collected from the Intensive Care Unit (ICU). The intern will first study existing research and models to understand which features are important for detecting these conditions. Next, they will analyze vital sign data from ICU patients to identify the most […]

Small and medium-sized enterprises (SMEs) face challenges such as inflation, supply chain disruption, and extreme weather, resulting in missed orders, overstocking, or understocking. Traditional forecasting methods based on seasonality and trend cannot provide accurate market demand, leading to inefficiencies and sales losses. The proposed research project aims to develop a machine learning-based demand prediction platform. […]

Our proposed research project aims to develop flexible, wearable sensors for monitoring heart health using advanced materials such as graphene and flexible printed electrodes. These sensors will be integrated into a comfortable and non-invasive wearable device that can continuously monitor and track the wearer’s heart health through ECG readings. The device will be designed to […]

Project Blinkem is a novel approach to visible light communication, which aims to create a low-cost, scalable, and secure framework using existing technologies. The project proposes encoding data into Infrared LEDs, which can visually communicate with high-resolution image sensors on HMDs as well as a high-speed optical module. By leveraging the security benefits of visible […]

ASETS-CA Inc creates software for engineers and launched a first of its kind cloud based Integrated Design Suite™ (IDS™). IDS™ is a multidisciplinary CAD, simulation & engineering design platform that helps Engineering Procurement Construction (EPC) & end owners companies accelerate their early-stage engineering 10X faster. Customers using IDS™ benefit from the rapid deployment of engineering […]

A software development project to modernize the internal infrastructure of the company across 3 different streams of work: build infrastructure, release pipelines and content management solutions. The company will benefit from this work by streamlining internal processes that are both error prone and manual in their nature, through the adoption and development of modern technologies […]

Everyday, hundreds of new vulnerabilities are discovered and disclosed to the users of the systems they affect. The sheer volume of vulnerabilities makes it difficult, if not impossible, for system administrators to rapidly address every vulnerability. Furthermore, research shows that only 5% of vulnerabilities are eventually exploited. This situation brings about a need to prioritize […]

With the evolution of computer vision methods in recent years, more and more scene-understanding methods have been proposed. Meanwhile, SOTI also designed and developed several scene-understanding algorithms. However, due to the limited computing capabilities of UAVs, all these algorithms need to be compressed to use fewer resources. This project will deliver a model compression and […]