Curiosity driven reinforcement learning for molecular design

Organic molecules are used in many areas, for example in drugs or solar cells. However, the development of new organic molecules with desired properties is difficult, time-intensive, and requires a lot of trial and error. A new line of research uses artificial intelligence to partially automate this process and make it more reliable. This project […]

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Managing Shared State for Video Games in a Networked Multi-core Environment

Video Games require a vast array of different computations to present the desired experience. These computations must be completed consistently to make the software responsive to the user. The industry trend towards many separate processors (multi-core) in the same physical device and the emergence of network based ‘cloud’ computing have created many opportunities, but also […]

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Smart Atlantic Buoy Redundancy Model

This research will provide a prediction of sea conditions at a given location based on measurements from meteorlogic and oceanographic ‘smart’ buoys in the general area. The motivation is to provide redundancy in the measurement of sea conditions for safe navigation within the Halifax Harbour when the main smart buoy in Halifax Harbour fails or […]

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Shipping Container Code Classification and Prediction

BlueNode is a SaaS company focused on the sanitation and analysis of marine shipping data. The research project is focused on increasing the precision and accuracy of shipped goods processed through Canadian ports. Should the research prove the be successful, the technical methods used with be directly incorporated into the BlueNode system.

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Game Metrics for Physiology-Based Health Games

In this proposed internship project, a new methodology towards the use of game metrical data to rate player’s behavior and motivate behavioural change will be explored. Together with the Ayogo Games (a game development company which takes special interest in the development of serious and health games, see http://ayogo.com/), a concept for an adaptable game […]

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Network security and machine learning development projects

The main objectives of this one-year study are to enhance systems in data management and integration in three ways: 1) create secure networks that can support BYOD; 2) create a data pipeline system for ETL; and 3) integrate ML content generation into a content management system. An Agile methodology will be used to plan and […]

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Deep Fraud Detection

Financial fraud is a serious issue that is taking place globally and causing considerable damage at great expense. Statistical analysis and machine learning tools can help financial institutions detect different types of fraud. In some cases however, mislabeling and the cost of classification may actually increase the volume of ‘false positives’ for supervised methods. As […]

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Developing a mobile screening tool that could predict impairment by leveraging the power of machine learning models

There is a growing need for law enforcement agencies and safety sensitive workplace environments to be able to evaluate impairment. Impairment due to mental cognitive deficits, drugs or alcohol use, prescription medications, or fatigue could all limit a person’s ability to perform a hazardous task safely. Current testing tools utilize saliva, breath, blood or urine […]

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Improving Operational Resource Efficiencies through the Application of Model-Based Reinforcement Learning (MBRL)

Reinforcement learning (RL) is the problem of designing an agent that interacts with its environment and adaptively improves its long-term performance. Many complex real-world industrial decision-making problems can be formulated as an RL problem. RL is at the core of artificial intelligence and has the potential of having a huge impact on our economy and […]

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Machine/Deep Learning applied in P&C insurance representations

The purpose of this project is to allow the company to have access to useful insurance representations, encoding the diversity of contexts found in larger markets. This is expected to boost the performance of predictions for tasks learned in small data and highly variable target setting.

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Social Game Analytics: Using Metrics to Improve Player Engagement II

In this internship we aim to develop an analytics system that targets quick conversion of game data to knowledge that allows game designers to quickly grasp the sources of engagement and disengagement of users while interacting with video games. This proposed system can benefit Blackbird Interactive Inc. by providing a method to tune their designs […]

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Intelligence artificielle appliquée pour l’analyse, l’optimisation et l’innovation (cohorte 2)

Ce projet vise à développer et approfondir les connaissances et techniques nécessaires à la mise en oeuvre des algorithmes d’intelligence artificielle sur des données issues du monde réel. En partenariat avec de multiples acteurs industriels de la grande région de Québec, la Faculté de Science et Génie de l’université Laval, au travers de ses étudiants […]

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