Efficient Avatar Generation from Arbitrary Images

AR/VR may be the next frontier for online human communications and interactions. The ability to produce photorealistic avatars dramatically improves the feeling of immersion and connection in applications utilizing AR/VR. However, current methods of face capture are time-consuming and involve expensive cameras and sensors. In this project, we explore deep learning methods for generating face […]

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Identifying potentiators for improved adeno associated virus based gene therapy for the central nervous system

Gene therapies are revolutionizing medicine, providing new therapeutics for diseases that previously were untreatable. In the central nervous system in particular, gene therapies hold great promise for saving lives and improving the quality of life of children and aged patients. The most common form of gene therapy that is used to treat patients involves the […]

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Singing to be Heard: Understanding the social, geographic, and anthropogenic factors that influence the development of humpback whale song on Canada’s North Pacific coast

Humpback whales produce stereotyped, socially learned songs on their breeding grounds, yet little is known about song development outside the breeding season, or the effects of increased vessel traffic on humpback whale communication. With access to an extensive underwater Passive Acoustic Monitoring network along Canada’s BC coast, facilitated by the North Coast Cetacean Society and […]

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Modern LLVM mapping of sequential code to task-/data-flow models

The high-level goal is to develop technology to enable more C++ applications to run well on many-core architectures such as recent AMD CPUs, GPUs, and combinations thereof (APUs). We expect to improve the capabilities of compilers like clang/LLVM to identify task-level parallelization opportunities that are not able to be identified today.

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Modélisation technico-économique électrique et hydrogène pancanadienne

De plus en plus de stratégies nationales de développement hydrogène voient le jour, et dans ce cadre, Artelys participe à un projet de recherche porté par un consortium international dont il fait partie « Hydrogen and Climate Partnership » (H2CLIP). Le projet vise à modéliser et étudier le future de l’économie de l’hydrogène, et plus […]

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Characterization and Improvement of Interfacial Properties of Cathode Materials forRechargeable Hybrid Aqueous Batteries Year Two

A new aqueous rechargeable battery combining an intercalation cathode with a metal anode has been developed recently. The energy density for a prototype battery is comparable or superior to commercial 2 V rechargeable batteries. There is a need to further improve the cycle performance and to reduce self-discharge effects of this battery. In this proposed […]

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Development of an system for in-flight system identification of fixed-wing UAV.

Small unmanned aerial vehicles are increasingly being used in a wide range of surveillance applications, such as wildlife or crop monitoring. A key limitation restricting broader application is their limited endurance. This project deals with the determination of the flight characteristics of small unmanned aerial vehicles used for aerial observation. A better understanding of those […]

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Statistical Analysis and Machine Learning Approach to Retail Sales Forecasting Based on Localized Weather Features

In recent years, weather has been recognized as an important factor that can have a significant impact on consumer behavior in certain industries. Predictive models that incorporate weather data can help industries to adjust their inventory and marketing strategies to optimize sales. This research project focuses on using machine learning and data analytics to determine […]

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Abnormal Detection for Language Assessment

A typical language test usually consists of four parts: speaking, listening, reading, and writing. Both audio and text data from the test takers will be collected and used by the automated scoring system. During the test, some test takers will intentionally/unintentionally provide abnormal answers, which may contain memorized content, repeated sentences, and meaningless or off-topic […]

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Examining a Nature-Based Mindfulness-Compassion Intervention Delivered Via Virtual Reality: Applications for Older Adults

The global population is aging at an unprecedented rate, increasing the necessity for effective interventions targeting the mental health needs of older adults. The proposed research project is a partnership between Dr. Khoury’s mindfulness research lab at McGill (PhD Intern: Isabel Sadowski) and Super Splendide. We seek to investigate the feasibility, acceptability, and preliminary effectiveness […]

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