Projets novateurs réalisés

Explorez des milliers de projets réussis issus de la collaboration entre organisations et talents postsecondaires.

30 508 projets complétés

2882
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5105
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825
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681
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860
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9051
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9491
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97
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586
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Projets par catégorie

Developing a web-based 3D content platform as a Service (PaaS) by improving network capacities and implementing technological solutions to improve 3D capacities

With the recent emergence of the Metaverse, we observe an exponential omnipresence of 3D content in all technological fields, generating ever-large data sets on multiple different devices and a multiplication of user needs. Providing remote computing power, especially 3D rendering, represents a major technological challenge for many fields. However, real-time experiences and collaboration – which are two essential pillars of 3D’s potential – are not available at scale. Our project aims to build the first true real-time 3D rendering platform as a service. We are convinced this transformative technology will impact and change the way people interact and create with 3D. Providing a 3D engine as-a-service, enabling developers to seamlessly build 3D experiences, instantly accessible by all users on any device, at any time, would empower 3D content access for any types of application domains.

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Superviseur du corps professoral :

Loutfouz Zaman

Étudiant :

Partenaire :

3dverse Technologies Inc.

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Ontario Institute of Technology

Programme :

Accelerate

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 characteristics can be used in the optimization of flight profiles to exploit energy in the ambient air, thus reducing the use of onboard energy and extending flight duration. The expected benefit to Shearwater Aerospace will be to enhance the competiveness of their software offerings which aim to allow users to improve their flight planning capabilities.

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Superviseur du corps professoral :

Meyer Nahon

Étudiant :

Partenaire :

Shearwater Aerospace

Discipline :

Engineering

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

McGill University

Programme :

Accelerate

Examining the Potential Pitfalls of Using ChatGPT in Situational Judgment Tests

Selecting the ideal employee or trainee can be a difficult task. A situational judgement test (SJTs) is one type of test that can help identify the best applicants. However, due to the open-ended nature of such a test, test-takers may be able to use online tools or resources like ChatGPT to cheat and fake their answers. Currently, little to no research has looked at how ChatGPT may affect SJTs as the use of ChatGPT in everyday life is new to many people. The proposed project aims to examine these potential affects, as well as potential tools to identify those who may have cheated. This will benefit both Acuity Insights by providing a starting point to identify those who fake using ChatGPT, and more generally provide much needed insights into the affects of using ChatGPT in open-ended selection tests, such as SJTs.

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Superviseur du corps professoral :

Nicolas Roulin

Étudiant :

Partenaire :

Acuity Insights

Discipline :

Sociology

Secteur :

Education; Professional, scientific and technical services

Université :

Saint Mary's University

Programme :

Accelerate

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 research, novel surface improvements will be applied to the cathode material to improve the overall electrochemical performance of the battery and to improve the stability of the cathode material. The combined performance attributes of this new rechargeable aqueous battery indicate that it constitutes a viable alternative to commercial lead-acid system and is suitable for large scale energy storage application. POSITEC Group Canada, based in Toronto, is the receptor of this research results. This knowledge will be employed in the ongoing battery scale up efforts to improve the design of the aqueous rechargeable battery.

Voir la description complète du projet
Superviseur du corps professoral :

Pu Chen

Étudiant :

Partenaire :

Positec Canada Ltd

Discipline :

Engineering

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

University of Waterloo

Programme :

Elevate

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 particulièrement les échanges possibles entre le Canada et l’Allemagne au regard des objectifs économiques, écologiques et de sécurité d’approvisionnement.
Le stage qui s’inscrit dans ce projet R&D s’articule en deux parties. La première partie consiste à participer au développement du modèle électrique canadien déjà existant dans le logiciel Artelys Crystal. La deuxième partie consiste à modéliser des actifs de production d’hydrogène dans le même logiciel en s’appuyant sur une revue de littérature de l’état de l’art des technologies reliées à l’hydrogène.

Voir la description complète du projet
Superviseur du corps professoral :

Hanane Dagdougui

Étudiant :

Partenaire :

Artelys Canada

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Polytechnique Montréal

Programme :

Accelerate

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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Superviseur du corps professoral :

Angela Demke Brown

Étudiant :

Partenaire :

AMD Canada

Discipline :

Computer science

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

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 Raincoast Conservation Foundation, the intern will analyze humpback song during the feeding season recorded across multiple sites over years. The intern will explore the variation of humpback song across the feeding season, and the impact of singers’ vocal interactions and vessel noise on humpback whale song. Our findings will be relevant to other whale populations facing increases in anthropogenic noise, and other marine animals that rely on long-distance acoustic signals. The project aligns with the values of both partner organizations, advancing knowledge, informing conservation measures, and protecting the ecosystems and at-risk marine mammals of coastal British Columbia.

Voir la description complète du projet
Superviseur du corps professoral :

Daniel Mennill

Étudiant :

Partenaire :

Raincoast Conservation Foundation;North Coast Cetacean Society

Discipline :

Life Sciences

Secteur :

Other services (except public administration); Professional, scientific and technical services

Université :

University of Windsor

Programme :

Elevate

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 use of a virus deliver the gene of interest. However, getting enough into the cells of the patients is difficult, and represent a significant challenge to creating more life saving gene therapies. Here we are testing how drugs, called vector potentiators (VEPOs™), can be used to improve viral delivery of genes to the central nervous system, providing a platform for the further development of gene therapies.

Voir la description complète du projet
Superviseur du corps professoral :

Cindi M Morshead

Étudiant :

Partenaire :

Stem Cell Network;Virano

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Dispositif de formation pédagonumérique sur la cyberdépendance au secondaire à l’aide de technologies innovantes

Il existe un vide de connaissances scientifiques autour de l’utilisation des hologrammes et de la réalité virtuelle à des fins pédagogiques, notamment pour l’enseignement au secondaire. À l’inverse, les savoirs débordent sur les impacts relatifs à une utilisation excessive des écrans chez les adolescents, mais peu d’étude tente de les contrer par une mobilisation concrète. Le caractère innovant de ce projet relève ainsi de l’élaboration d’une formation destinée à sensibiliser les élèves du secondaire sur le thème de la cyberdépendance à l’aide de ces technologies. Ce projet implique une étroite collaboration entre les partenaires et l’équipe de recherche pour planifier et développer cette formation ainsi qu’un modèle de formation. En ce sens, nous avons pour objectifs d’analyser l’état de la recherche sur la cyberdépendance, d’explorer les différentes utilisations des dites technologies, et de collaborer à la planification et au développement de la formation et du modèle de formation selon les intentions du projet.

Voir la description complète du projet
Superviseur du corps professoral :

Matthieu Petit

Étudiant :

Partenaire :

Productions Six et Deux;Immersia Studio

Discipline :

Sociology

Secteur :

Arts, entertainment and recreation

Université :

Université de Sherbrooke

Programme :

Accelerate

Advancing Generative Models for Vision and Language: A Collaborative Study with ServiceNow Research and ÉTS Montréal

This research project, a collaboration between ServiceNow and ÉTS Montréal, aims to improve generative AI (e.g. artificial intelligence models that learn to generate data), which can impact various creative and knowledge-based industries like graphic design, content creation, and research. The project aims to create advanced generative models that can generate a variety of data types, such as images, code, and language. By understanding the connections between these different data modalities, the AI systems developed will be able to better comprehend and adapt to human needs. This research focuses on producing more intelligent AI solutions that can seamlessly create and manipulate various forms of data while aligning with human preferences and requirements. By incorporating humans in the AI development process, the project aims to create AI systems that better align with how people perceive the world. This research will use cutting-edge methods and contribute to the scientific community while training a skilled research scientist and strengthening Canada and Montreal’s position in the AI ecosystem.

Voir la description complète du projet
Superviseur du corps professoral :

Marco Pedersoli

Étudiant :

Partenaire :

ServiceNow Canada

Discipline :

Computer science

Secteur :

Artificial Intelligence; Information and Communications Technology; Technology

Université :

École de technologie supérieure

Programme :

Accelerate

Large-scale turbulent/turbulent entrainment of mass and momentum in planar wakes

Turbulent entrainment denotes the spatio-temporal process by which turbulent flows expand by incorporating ambient fluid into the primary turbulent flow, e.g., the growth of a volcanic plume with distance from the crater or growth of a jet of pollutants being discharged into the atmosphere or hydrosphere. This research aims to investigate the effects of free-stream turbulence on the large-scale entrainment (engulfment) of mass and momentum into the canonical turbulent wake produced by a cylinder, using simultaneous planar laser-induced fluorescence (PLIF) and particle image velocimetry (PIV) measurements. The wake region will be marked with a passive scalar that faithfully tracks the motion of the flow within the wake. Engulfed fluid can be identified as pockets of ambient fluid (regions of low scalar concentration) within the boundaries of the wake from the PLIF images. The entrained mass and momentum in these pockets are subsequently estimated using the velocity data, provided by the PIV technique. This will, for the first time, shed light on the role of engulfment in wakes subjected to a turbulent background, as compared to a quiescent ambient…

Voir la description complète du projet
Superviseur du corps professoral :

Susan Gaskin

Étudiant :

Partenaire :

Imperial College London

Discipline :

Engineering

Secteur :

Education

Université :

McGill University

Programme :

Globalink Research Award

Generation of a remote sensing methodology for the identification and variable chemical control of weeds with ground equipment in sugarcane

The proposed project intends to generate a method for identifying weeds and develop site-specific weed control prescriptions for sugarcane cultivations in Costa Rica using Remote Sensing techniques. Remotely sensed data will be captured using multispectral camera and LiDAR sensors attached to Remotely Piloted Aircraft Systems (RPAS). Images will be processed using machine learning algorithms to characterize the weed type and how it emerges during the early stages of sugarcane cultivation. Results will be evaluated using field samples. Once the variety of weeds and the emerging patterns identify, site-specific, variable-rate chemical solutions or prescriptions will be developed and fed into ground machines for spraying.

Voir la description complète du projet
Superviseur du corps professoral :

Muditha Heenkenda

Étudiant :

Partenaire :

National University of La Plata

Discipline :

Engineering

Secteur :

Environmental Science and Technology; Artificial Intelligence; Agriculture and Food

Université :

Lakehead University

Programme :

Globalink Research Award

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Mitacs est financé par le gouvernement du Canada, le gouvernement de l’Alberta, le gouvernement de la Colombie-Britannique, Research Manitoba, le gouvernement du Nouveau-Brunswick, le gouvernement de la Nouvelle-Écosse, le gouvernement de l’Ontario, Innovation PEI, le gouvernement du Québec, le gouvernement de la Saskatchewan, le gouvernement de Terre-Neuve-et-Labrador et le gouvernement du Yukon.