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 […]

This project will develop a robust software package that can be embedded with a camera system to provide an onboard sea-ice monitoring system. The software package consists of two main components: (1) Deep learning classification model, which involves a deep learning network trained to identify and classify sea-ice; (2) Lens artifact removal method, which is […]

The research project collaboration between APCI and WIMTACH will involve the identification of best technology methods and processes that will enable new modes of publishing to bridge the gap between the traditional paper and online methods. The focus will be on the efficiency of delivery so that cost models are minimized, opening new opportunities for […]

We are developing a robotic platform and agent that is able to translate instructions (e.g. “bring me the newspaper”) into a series of low-level programs (moving between rooms, locating objects, interacting with objects) and executing these autonomously. Traditionally, in hierarchical reinforcement learning, tasks are executed sequentially, but we would like to focus on parallelization and […]

From simple transactions to complex investment strategies and wealth management, the customers want instant, intelligent answers to their questions, comprehensive financial knowledge education, and connection to a financial advisor on social media. To provide enhanced user experiences, we are researching an intelligent framework for conversational AI software with the ability to deliver financial advisors’ market […]

In the genomics era, microbiologists are collecting data at an accelerating pace. We have created a data science platform called QUOREM that significantly reduces the technical burden experienced by microbial ecologists associated with managing ever-increasing quantities of data. We believe that public and private research groups in Canada could benefit our platform, and the ability […]

In many industrial and engineering applications, process control plays a central role. Among the possible control strategies, model predictive control (MPC), also called receding horizon control (RHC) , stands out for its excellent ability to handle constraints. While MPC has been successfully applied to many industrial applications, further developments are limited when it becomes necessary […]