Machine Learning is advancing at an astounding rate. It is powered by complex models such as deep neural networks (DNNs). These models have a wide range of real-world applications, in fields like Computer Vision, Natural Language Processing, Information Retrieval and others. But Machine Learning is not without some serious limitations and drawbacks. The most serious […]

Optimal Computational Algorithms, Inc. (OCA) provides the highest quality mathematical software possible. Our goal is to produce scientific software with nearoptimal performance on increasingly parallel systems, while assuring software correctness by construction. This research project continues a partnership with McMaster University, and individual internship projects will focus on extending OCA’s tools to target new computations […]

Neuroscience-inspired AI has emerged as state-of-the-art in many machine learning applications. Recurrent Neural Networks (RNNs) are a machine learning tool used to learn patterns in sequential (time-dependent) data which have also been used to model neural dynamics in the brain. Various frameworks have been developed to create RNNs capable of learning from data which have […]

The aim of this project is to improve the user experience of clients ordering online on one the portals of restaurants working with UEAT. This improvement will be in the form of smart recommendations based on the restaurant, time and the user themself. This will be done with an emphasis on respect for user privacy […]

Optimal trade execution is a well-known problem in quantitative finance. It helps financial actors who trade large quantities of a given asset minimize their risk and their adverse price impact. The problem’s complexity is multiplied when considering highly fragmented markets, such as those existing today for digital assets. The most recent advances in reinforcement learning […]

Data acquisition at scale implies missing values: in the biological signals as well as in the demographics and questionnaire data. These missing values are structured –missingness appears as blocks– and often causal –more missing health information for lower income individuals. While there are many works on the treatment of missing values in the clinical trial […]

This project will develop the protocols, standards and procedures to establish a digitized, virtual artifact repository, accessible online for research and public education, by establishing the processes for large scale digitization of the analyzable objects representing the full range of the compiled archaeological heritage from Ontario.

Robust perception in all weather conditions is a critical requirement for autonomous vehicles. This project proposes fusing gated and conventional RGB camera images for robust scenes encoding, depth estimation and trajectory prediction. Conventional approaches using lidar and RGB camera fail to perform robustly in rain, fog and snow. By extending existing computer vision algorithms to […]

The goal is to create a conversation loop between 3D designers and artificial intelligence programs. This will help the AI provide suggestions to the designer, while the designer provides the AI with feedback. This can help make it easier for designing complicated objects as well as complicated textures that belong to the surface of 3D […]

The online video-based tutoring industry is growing fast but there is a lack of interaction between student and tutor. Some survey studies suggest that interactive video-based tutoring like giving bookmarks, hints, nudges, and quizzes in between video lectures helps the student in improving concentration and learning. We propose an interactive video tutoring module which given […]

Les sites et les applications web contiennent souvent des bugs d’affichage : boutons mal placés ou non fonctionnels, éléments partiellement cachés par d’autres, etc. Ces bugs peut relever d’un simple problème esthétique, ou, de manière plus sévère, compromettre la fonctionnalité de l’application

Some of us recall our dreams very often, while other hardly ever remember them. The neuroscience of sleep and dream research is a thriving field with still many unanswered questions. Differences in brain network dynamics between individuals with high versus low dream recall rates, are still poorly understood. In this internship, we will address this […]