Deep learning and artificial intelligence (AI) technologies are transforming industry by way of automation, connectivity and availability of information technologies. However, AI remains incredibly challenging and costly to implement, often requiring massive data centers and cloud computing to operate. This research seeks to develop optimization methods to create faster, smaller and more energy-efficient AI algorithms […]

Humans possess the ability to see objects as having the same color even when viewed under different illuminations. Cameras inherently lack this capability. A process called auto white balance (AWB) has to be applied by the camera to mimic this behavior of the human visual system. AWB is one of the first steps in a […]

Ce projet est en partenariat avec Hydro-Québec. Il vise à mieux comprendre l’évolution des craques sur les turbines hydroélectriques. Pour bien s’ajuster à la demande d’électricité, ces turbines ont diverses modes d’opérations. Dans ce projet, les réseaux de neurones profonds seront utilisés afin d’obtenir une fonction qui prend en entrée le mode d’opérations et donne […]

The emerging 5G technology has tremendous potential in empowering a wide range of demanding applications. However, the 5G throughput can fluctuate wildly based on several factors like handoffs, user moving speed, user moving direction with respect to the radio base station, the terrain (e.g., obstacles between the user and the radio base station), the density […]

This project will involve using statistical modeling and machine learning techniques in order to identify significant factors that exist in user interaction logs collected from a social gaming system. Next, these factors will be used to inform, implement, and test an adaptive platform for managing and improving behaviors that relate to user experience and/or user […]

Drone technologies become more robust, and easier to use across important civil sectors, such as construction and mining, with the assurance to deliver unparalleled performance and consistency in every operation. However, one of the significant challenges in integrating drones into civil applications is related to data; i.e. lack of standards for high-quality data collection, complexity […]

The partner organization Croesus aims to provide its customers with a software solution for providing a natural language explanation of fluctuations in investment returns. The proposed research project offers an artificial intelligence-based solution which would provide such an explanation by summarizing financial documents in a way that answers the user’s question. An example of such […]

La plupart des travaux actuels sur la détection des intrusions se concentre sur la détection et l’analyse des attaques. Peu de travaux ont été réalisés sur l’analyse du comportement des attaquants eux-mêmes. Ce type d’analyse, appelée attribution, est important car il permet de remonter à la source de l’attaque, caractériser l’intention et répondre adéquatement à […]

A successful computer application can easily have millions of users, but handling the network traffic generated by millions of users is not easy. The server system has to be well designed in order to properly process large, concurrent, and distributed data streams without affecting user experience. In addition, users do not generate data constantly, they […]

Modern smartphone cameras commonly employ multi-image (or burst photography) for tasks related to image super-resolution and high-dynamic-range imaging. This project is focused on developing novel multi-image techniques that leverage the power of recently proposed neural implicit functions. Neural implicit functions (NIFs) are a new way to represent images not as a 2D grid of pixels […]

Video Lottery Terminals (VLT) are common gaming machines for money usually found in various venues. These machines are anonymous and stateless and do not record any information about player’s identity. The data obtained from these machines is very complex and hard to analyse. The gaming industry is keen to understand how a game or a […]

Rapid and open dissemination of research is critical for the advancement of science. Preprint servers (such as MedRxiv, BioRxiv, PsyRxiv, and aRxiv) are becoming increasingly popular in health and medicine to share early research results, particularly in the context of the current COVID-19 pandemic. Given the need for rapid peer review, we need to innovate […]