Les humains ont une capacité exceptionnelle à collaborer sur une grande variété de tâches. Pour y parvenir, ils doivent être capables de prendre des décisions collectives : décider où se déplacer ensemble, quelle stratégie ils vont utiliser, etc. Actuellement, nous ne savons pas très bien comment nos cerveaux sont capables de se coordonner entre eux […]

Procedural content (text and video) is abundant on the internet, and is regularly used in our daily lives, e.g., when we follow a cooking recipe to make a dish, or watch an instructional furniture assembly video. Automatically understanding such content allows for the development of various types of AI assistants, including those that can provide […]

SARs (Suspicious Activities Reports) are the forms that financial institutions use to report any suspected activity. Literature shows that the user interface will affect the data provided by users, because of many psychological reasons like different biases and cognitive shortcuts. Data collected is typically analyzed with machine learning algorithms. Different user interfaces provide different levels […]

LatenceTech offers a cloud analytics and monetization solution for cellular networks with a special focus on ultra-low latency connectivity. Using SAAS and AI, our solution helps mobile operators, telecom vendors and advanced industries to track, predict and secure the new benefits of 5G cellular technology. Many new innovative services will require a very high and […]

This project aims to uncover key trends in the education technology industry, examining EdTech companies of various sizes (start-ups to multinational corporations) within the Asia Pacific region. Through this project, the intern will collect data around emerging and established EdTech companies in the fastest-growing EdTech region of the world with the purpose of publishing their […]

La survie de l’industrie de la musique du Québec est menacée par la perte possible des revenus provenant de la radio satellite. Elle doit réagir. Nous verrons si la promesse du numérique de pouvoir transcender les barrières géographiques physiques afin de développer de nouveaux marchés se confirme ou non. Le projet consiste à travailler avec […]

Ce projet porte sur l’automatisation d’une partie des processus d’une petite entreprise, soit l’entreprise S3R qui oeuvre dans le domaine environnemental. Plus particulièrement, il consiste à développer un système informatisé de gestion visant à automatiser la production des rapports incluant les solutions proposées aux clients. L’entreprise profitera de ce projet de deux façons. Dans un […]

The past two years have shown increasing distrust through online division, polarizing protests and strikes, and destructive riots. This problem has gotten worse due to our unverified, disorganized, and time consuming citizen and stakeholder engagement systems, especially social media, focus groups and town halls, and voting. In order to solve the problem of increasing distrust […]

The past two years have shown increasing distrust through online division, polarizing protests and strikes, and destructive riots. This problem has gotten worse due to our unverified, disorganized, and time consuming citizen and stakeholder engagement systems, especially social media, focus groups and town halls, and voting. In order to solve the problem of increasing distrust […]

Fabstation-Steel is the flagship product of Eterio Realities Inc. It is designed to improve Structural Steel Fabricators’ production quality and velocity by using AR (augmented reality) virtual assembly model overlay technology. Since the accuracy of the virtual model overlay is critical to the success of the product, this research project aims to improve the virtual […]

The design optimization process of photonic and optoelectronic devices can be time consuming. The modeling of these electrically-long devices is time-intensive. Accurate time-domain and frequency-domain simulation tools such as the finite difference time domain (FDTD) method and the finite element method (FEM) are usually utilized to model these devices. These methods require fine meshing to […]

In this project I will develop a computational framework for the automatic detection of task-related biomarkers in PD patients during speech production. This framework will help us to predict the timing of electrical stimulation in STN with the purpose of understanding the role of STN in encoding different aspects of speech production. To achieve this […]