Contribution: Industrial Research Assistance Program – Contributions to Firms
VL Energy Ltd.
$75,000.00
Development of an Artificial Intelligence powered Predictive Emissions Monitoring Systems (PEMSs)
EF 2022-23 · 2022-09-01
Résumé
The project will use artificial intelligence (AI), specifically machine learning (ML), technologies to develop drift detection systems, and notification systems. The ML algorithms to be tested include but not limited to DBSCAN, Isolation Forest, K-nearest neighbor (k-NN), K-means, Support Vector Machine (SVM), Recurrent neural networks (RNNs).
Ministère
Programme
Industrial Research Assistance Program – Contributions to FirmsIndustrial Research Assistance Program-Contributions to Firms (lien de confiance élevée)
Bénéficiaire
Emplacement
Calgary|Calgary, Alberta, Canada
Type de bénéficiaire
For-profit organization
Numéro d'entreprise
837692383
Type
Contribution
Source
Proactive Disclosure - Grants and Contributions
Tel que publié
Agreement End Date
2023-03-31
Agreement Number
995493
Agreement Start Date
2022-09-01
Agreement Title
Development of an Artificial Intelligence powered Predictive Emissions Monitoring Systems (PEMSs)
Agreement Title (French)
Développement d'un système de surveillance prédictive des émissions alimenté par l'intelligence artificielle.
Agreement Type
Contribution
Agreement Value
$75,000.00
Amendment Number
0
Coverage
IRAP Contributions to Firms projects stimulate wealth creation for Canada through technological innovation. | Les projets des Contributions aux entreprises stimulent la création de richesse au Canada grâce à l’innovation technologique.
Description
The project will use artificial intelligence (AI), specifically machine learning (ML), technologies to develop drift detection systems, and notification systems. The ML algorithms to be tested include but not limited to DBSCAN, Isolation Forest, K-nearest neighbor (k-NN), K-means, Support Vector Machine (SVM), Recurrent neural networks (RNNs).
Description (French)
Le projet utilisera des technologies d'intelligence artificielle (IA), en particulier l'apprentissage automatique (AA), pour mettre au point des systèmes de détection de dérive et des systèmes de notification. Les algorithmes d'AA qui seront testés comprennent, entre autres, DBSCAN, Isolation Forest, K-nearest neighbor (k-NN), K-means, Support Vector Machine (SVM), Recurrent neural networks (RNNs).
Expected Results
The purpose of IRAP Contributions to Firms is to support research, development, adoption and/or adaptation of innovative or technology-driven new or improved products, services or processes in Canada up to their commercialization
Expected Results (French)
Le PARI, par le biais des Contributions aux entreprises, vise à appuyer la recherche, le développement, l’adaptation et/ou l’adoption au Canada de produits, de services ou de processus novateurs ou axés sur des technologies nouvelles ou améliorées, et ce jusqu’à leur commercialisation
Federal Riding
Calgary Signal Hill
Federal Riding (French)
Calgary Signal Hill
Federal Riding Number
48012
NAICS Code
54162
Organization Code
nrc-cnrc
Organization
National Research Council Canada | Conseil national de recherches Canada
Program Name
Industrial Research Assistance Program – Contributions to Firms
Program Name (French)
Programme d’aide à la recherche industrielle – Contributions aux entreprises
Program Purpose
The purpose of IRAP Contributions to Firms is to support research, development, adoption and/or adaptation of innovative or technology-driven new or improved products, services or processes in Canada up to their commercialization
Program Purpose (French)
Le PARI, par le biais des Contributions aux entreprises, vise à appuyer la recherche, le développement, l’adaptation et/ou l’adoption au Canada de produits, de services ou de processus novateurs ou axés sur des technologies nouvelles ou améliorées, et ce jusqu’à leur commercialisation
Recipient Business Number
837692383
Recipient City
Calgary|Calgary
Recipient Country
CA
Recipient Legal Name
VL Energy Ltd.
Recipient Operating Name
VL Energy Ltd.
Recipient Postal Code
T3H 0Y8
Recipient Province or Territory
AB
Recipient Type
F
Reference Number
172-2022-2023-Q3-995493
