Blees AI is an educational innovator who believe in transforming and improving the teaching experience and in turn positively impact students learning and maximize their potential. The goal of this project and the company is to provide a complete version of the software platform to the educators to assist their essay grading. Blees AI’s client […]

L’industrie du jeu vidéo est une source inépuisable de données et notamment de données de performances [8]. L’origine provient de la nécessité pour une expérience de jeu ultime, d’avoir des performances similaires quelle que soit la plateforme utilisée. Cependant, la fragmentation du marché des plateformes de jeu est multiple. Entre les différentes consoles et l’ensemble […]

MDA Montreal possesses a niche expertise on a wide variety of high-performance satellite telecommunication antennas. These antennas are exposed to extremely harsh environments. Some panels require a rigid mechanical assembly (i.e., nut and bolt fastening) but must preserve their thermal isolation for the proper operation of the antennas and to limit heat exchange towards the […]

Physics-based simulation has been receiving a great deal of attention as it is of interest for various branches such as the film industry, computer game development, and biomedical research, etc. Especially for the professions that are interested in modeling creatures and producing correlated visual effects such as 3D animation, tissue simulation becomes a principled approach […]

Conversational experiences are becoming more prevalent in software applications – from Alexa and Google assistant to Siri and Cortana – though the quality degrades when the automated dialogue agent must refer to or recall specific information. These systems are often forgetful, nonsensical, contradictory, repetitive, or hallucinatory, which impacts the user experience. This project aims to […]

The primary objective of this project is to implement a product taxonomy model that can reliably categorize receipt item labels to generate more personalized financial insights. Sensibill leverages unstructured receipt data to support personal and business finance management. Reliable categorization of receipt line items into specific merchant categories not only reduces the time for manual […]

Sensibill provides financial tools like digital receipt data that help banks and credit unions better know and serve their customers. Users can upload digital images through tools and the company would do image processing first and then use processed images to analyze. However, the previous image processing algorithm is time-consuming for users and doesn’t satisfy […]

In 5G and beyond networks, softwarization of network functions, as well as disaggregation of software and hardware, are the recent moves pushing Radio Access Networks (RAN) to be ultra-agile, reconfigurable and flexible. This flexibility comes along with complexity that goes beyond traditional algorithms’ capabilities to optimize the RAN. In addition, in future RANs, multiple-players interacting […]

The people of Canada are transitioning from hunting and gathering in the ocean to cultivating and nurturing the ocean. This research and the outcomes of the academic–industry partnerships it engenders will contribute significantly to the economic, ecological and social sustainability of that transition. There is a particular concern on the part of the growing Aquaculture […]

While taking foreign language tests, people may record responses with different background noises. The contaminated audios can lead to unusual results in speech recognition and scoring by the scoring systems. Pearson would like to develop a more robust system for the automated speech recognition machine to work with clean and noisy records. Audio files are […]

One assumption that is commonly used in machine learning is that samples are statistically independent. In effect, each sample of data doesn’t tell you anything about any other sample in the dataset. This is not true for all types of data; there are some types of datasets where relationships between samples can be modeled as […]

Road safety affects everyone, and companies are looking for ways to identify the risk factors for their fleet drivers, and to reduce the chance of accidents. This project will build on Geotab’s existing methods for assessing driving risks, and develop new techniques to better identify risky drivers and risky behaviours. The project will focus on […]