Projets novateurs réalisés

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

31 620 projets complétés

2978
AB
5221
C.-B.
856
MB
696
NL
899
SK
9419
ON
9858
QC
98
PE
619
NB
1192
NS

Projets par catégorie

Implementation of Photonic Computing Chip (IPCC)

The IPCC project aims to utilize the advancements in lasers, optics and semiconductor fabrication facilities to deliver a computing chip that uses laser instead on electrical signals to perform computations. The new paradigm of computation execution allows computations to be performed much faster at lower energy consumption which directly leads to lower costs for computations. The advantage is particularly huge for AI computations. The Interns will perform research work to design, fabricate and test the new chip and develop software that allow using this chip efficiently. The partner organization directly benefits from the interns’ expertise to accelerate the development of the photonic computing chips allowing the company faster entry to market. In this process the company will provide the global community an access for faster and cheaper computations.

Voir la description complète du projet
Superviseur du corps professoral :

Odile Liboiron-Ladouceur;Yves Alain Peter

Étudiant :

Partenaire :

TandemLaunch Inc

Discipline :

Engineering

Secteur :

Technology; Artificial Intelligence; Nanotechnology

Université :

McGill University; Polytechnique Montréal

Programme :

Accelerate

Development of digital technologies for wild blueberry cropping system to lower production costs and increase berry quality

Artificial intelligence coupled with machine vision agrochemical sprayers can replace traditional uniform applications. Novel advancements utilizing high resolution images with deep learning techniques are required to develop new algorithms for advanced real-time automated classification. Fields will be surveyed, and a digital library database of images will be acquired for the major target weeds that are spatially variable throughout the fields. Following evaluation of the deep-learning program in the lab and static field environment, the system will be integrated onto a commercial uniform sprayer modified to operate with individual nozzle control for precise weed target detection. An economic analysis will compare the costs of uniform spraying methods to the new spot-application techniques. Deep learning models will also be developed for detecting berry growth and crop diseases. Software will be designed and deployed for use on mobile phones that will process field images to identify weeds, diseases, and plant development in real-time.

Voir la description complète du projet
Superviseur du corps professoral :

Travis Esau

Étudiant :

Partenaire :

Wild Blueberry Producers Association of Nova Scotia

Discipline :

Engineering

Secteur :

Agriculture; Information and cultural industries

Université :

Dalhousie University

Programme :

Accelerate

Effects of host, pathogen, and environmental factors on increased incidence of European foulbrood in honey bee colonies pollinating blueberries

The estimated value of honey bee pollination in the form of increased crop yields in Canada is $2 – $4 billion. In recent years, beekeepers pollinating blueberries have reported an increased incidence of European foulbrood (EFB). EFB is a bacterial disease of honey bee larvae which can lead to larval starvation and death. Risk factors for EFB disease during blueberry pollination include pesticide exposure, increased virulence of bacterial strain, decreased diversity or quality of pollen, and/or inadequate brood care; however, there is a lack of scientific evidence to determine which factors are responsible for the recent increased incidence of EFB. We will investigate interaction between host, pathogen, and environment to determine if any of these factors contribute to the increased susceptibility of honey bees to EFB. Through mitigation of the identified factors, we can enhance the health and productivity of honey bee colonies and the blueberry crops they pollinate.

Voir la description complète du projet
Superviseur du corps professoral :

Elemir Simko

Étudiant :

Partenaire :

British Columbia Blueberry Council;Saskatchewan Beekeeper's Development Commission

Discipline :

Life Sciences

Secteur :

Agriculture

Université :

University of Saskatchewan

Programme :

Accelerate

Coronavirus adhesion to contact lenses

A large proportion of people require vision correction, and about 10% of them prefer using contact lenses. However, one of the key questions that has arisen is whether wearing contact lenses is safe during this pandemic. Currently this question remains highly debated and further scientific studies are required to adequately answer this question. Two important factors that may help removal of the viruses from contact lenses are the use of cleaning solutions and the human blinking reflex. The aim of the study is to evaluate whether contact lens care solutions and the blinking reflex are sufficient in removing coronaviruses from contact lenses.

Voir la description complète du projet
Superviseur du corps professoral :

Lyndon Jones

Étudiant :

Partenaire :

OcuBlink

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

University of Waterloo

Programme :

Accelerate

Projets migratoires et remigrations des migrants africains vivant au Canada et en Belgique

Ce projet de recherche vise à comprendre le rôle de (1) l’intégration, (2) de la situation familiale, (3) du contexte dans les pays d’origine, (4) des contextes dans les pays de destination, et (5) de l’histoire migratoire passée dans l’élaboration des projets migratoires et la rémigration des migrants africains à partir des données quantitatives et qualitatives. Les données quantitatives proviennent de l’Enquête POMBE, du Registre national belge couplé aux données de la Banque carrefour de la sécurité sociale, de données contextuelles DEMIG POLICY, et d’autres bases de données sur les migrations africaines au Canada. Les données qualitatives proviendront des entretiens qualitatifs multi-sites, particulièrement en Belgique et au Canada. Les (3) objectifs spécifiques du séjour de recherche au Canada est de mener des entretiens qualitatifs auprès des migrants africains d‘origine congolaise (RDC), rwandaise, burundaise et camerounaise âgés de 25-55 ans pour affiner les hypothèses de recherche et approfondir les explications des résultats des analyses quantitatives, d’accéder aux données quantitatives sur les migrations africaines au Canada et enfin bénéficier de l’expérience en matière de gestion et analyse des données mixtes sous la direction de Anne Calves.

Voir la description complète du projet
Superviseur du corps professoral :

Anne Calvès

Étudiant :

Partenaire :

Université Catholique de Louvain

Discipline :

Sociology

Secteur :

Education

Université :

Université de Montréal

Programme :

Globalink Research Award

Investigating mycelial-plant biomass mat application to reduce early-colonizing weeds in row-crop agriculture

The intern will be investigating the use of plant crop biomass filled with fungal mycelium as means of stopping early-colonizing weeds in row crop agriculture. The crop biomass will be applied to the fields in liquid form and will solidify into a mat-like barrier. The intern will be coming up with the correct liquid formula in lab, and testing this initially in greenhouse trials. Once a suitable formula has been found, it will be produced at a larger scale and tested in fields owned by the industrial partner. In these larger trials, the intern will be measuring how effective the mat barrier is, as well as other soil values. The industrial partner will benefit by being able to manage weed control in a more environmentally friendly manner as well as potentially reduce the fuel required, and the amount of field tillage needed to control the weeds.

Voir la description complète du projet
Superviseur du corps professoral :

Greg Thorn

Étudiant :

Partenaire :

Natures Balance

Discipline :

Physics

Secteur :

Agriculture

Université :

The University of Western Ontario

Programme :

Accelerate

La voix des jeunes dans le grand dialogue régional pour la transition sociale et écologique

Le projet vise à trouver les meilleures pratiques permettant d’inclure la voix des jeunes au sein d’un projet citoyen sur les enjeux de transition socio-écologique : le Grand dialogue régional pour la transition au Saguenay Lac-Saint-Jean. Les jeunes seront directement impactés par les grands bouleversements en cours : changements climatiques, chute de la biodiversité, hausse des inégalités. Dans cette optique, nous considérons les jeunes comme des citoyens à part entière dont les aspirations méritent d’être incluses et prises en compte dans un processus de concertation. Cette volonté d’inclusion de la voix des jeunes implique un changement d’approche en matière de participation publique, pour en faire de véritables acteurs impliqués dans les décisions. La recherche inclut une revue de littérature sur les meilleures pratiques pour l’inclusion des jeunes dans le débat public, ainsi que le développement et l’expérimentation, en collaboration avec le partenaire, de trousses d’animation pour des publics jeunesse.

Voir la description complète du projet
Superviseur du corps professoral :

Olivier Riffon

Étudiant :

Partenaire :

Conseil régional de l’environnement et du développement durable – Saguenay-Lac-Saint-Jean

Discipline :

Sociology

Secteur :

Professional, scientific and technical services

Université :

Université du Québec à Chicoutimi

Programme :

Accelerate

Autobot: Data-driven metadata tagging of building automation systems

As Building Automation Systems (BAS) are becoming a standard in commercial buildings, and additional 3rd party applications can help buildings owners gain insights from their BAS, structured metadata management becomes the key to success. However, as converting traditional sensors naming convention to structured tagging systems is an expensive and time-consuming process, this project aims at automating the process. By leveraging modern Machine Learning techniques combined with Rule-based systems, Autobot is developed to automate the process. This project builds on previous research at Brainbox AI (Mishra, et al., 2020) to apply the software to additional building types and improve the process’s overall performance.

Voir la description complète du projet
Superviseur du corps professoral :

Adam Rysanek

Étudiant :

Partenaire :

BrainBox AI

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

Canadian Goodwill Industries

I intend to create a detailed plan for Canadian Goodwill to assist them in conquering the problem regarding the overload of staff unable to find further employment due to the social barriers in place. Furthermore, I plan to connect with several organizations in the process to gain knowledge of their structures and potentially establish a connection that may help the process of granting individuals better employment. This guide will aid them in connecting with various organizations and for receiving funding through a variety of resources in the future. The guide will consist of a detailed training program with the necessary skills to be acquired by the individuals, a progressive program that will layout the advancements of the trainees through the program and establish connections that will offer employment trainees once they have completed the necessary steps at Canadian Goodwill.

Voir la description complète du projet
Superviseur du corps professoral :

Kevin Freedman

Étudiant :

Partenaire :

Canadian Goodwill Industries

Discipline :

Business

Secteur :

Education

Université :

University of Winnipeg

Programme :

Business Strategy Internship

Improvements in the Fock reactivity of Kraft-based dissolving pulp

AV Nackawic is part of a new and innovative group of companies (AV Group), which are focused on producing high-quality dissolving pulp and other products. For dissolving pulp, the pulp reactivity in the subsequent converting process is an important parameter, which ultimately determines the quality of the product. This internship will investigate the solutions to increase the pulp reactivity in order to improve the quality and market demand of the kraft-based dissolving pulp. The intern will use the UNB facility in carrying out the detailed experiments, and then do the initial engineering/ process development to carry out the mill trial to improve the reactivity of dissolving pulp. It will provide a strong training opportunity to the intern.

Voir la description complète du projet
Superviseur du corps professoral :

Yonghao Ni

Étudiant :

Partenaire :

AV Nackawic Inc

Discipline :

Engineering

Secteur :

Manufacturing

Université :

University of New Brunswick

Programme :

Accelerate

Novel Corrective and Training Procedures for Neural Network Compliance

In AI safety, compliance ensures that a model adheres to operational specifications at runtime to avoid adverse events for the end user. This proposal looks at obtaining model compliance in two ways: (i) applying corrective measures to a non-compliant Machine Learning (ML) model and (ii) ensuring compliance throughout the model’s training process. We aim to achieve the first via removal of gradient information related to features involved in biasing the model. For the second, we look at incorporating constraints from the world of satisfiability to enforce desired specifications into gradient based methods used for training. Real-world applications for both approaches include bias and robustness compliance in the world of finance via, for example, ensuring that loans are handed out to clients in fair ways.

Voir la description complète du projet
Superviseur du corps professoral :

Vijay Ganesh

Étudiant :

Partenaire :

Royal Bank of Canada (Borealis)

Discipline :

Computer science

Secteur :

Information and Communications Technology; Technology; Finance and Insurance

Université :

University of Waterloo

Programme :

Accelerate

Development of a Quantitative and Inexpensive Opioid Detector for Clinical Use

The opioid epidemic is a serious health crisis and opioid treatment strategies are at the forefront of efforts to tackle this crisis. Replacement therapy is the current approach taken using medications such as methadone. To be more effective, the dosage needs to be tailored to individual tolerance which requires a point-of-care type analytical measurement of the patient’s existing opioid level. This proposal takes an existing proof-of-concept opioid detection device and adapts it for use in the clinical setting to address this challenge, quickly determining the patient’s tolerance level in a day compared to the current standard of care that would take a few weeks.

Voir la description complète du projet
Superviseur du corps professoral :

Dan Bizzotto;Glenn Sammis

Étudiant :

Partenaire :

Vancouver General Hospital

Discipline :

Physics

Secteur :

Health and Related Sciences & Technology

Université :

The University of British Columbia

Programme :

Accelerate

Précédent
1...1,8871,8881,8891,8901,8911,8921,893...2,635
Suivant

Joignez-vous à un écosystème d’innovation florissant.

Abonnez-vous à notre infolettre dès maintenant!

S’inscrire

Mitacs — Retour sur innovation

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.