Grant: Applied Research and Development Grants - Level 1
Seneca College of Applied Arts and Technology
$25,000.00
Developing a deep-learning volunteer computing platform
EF 2020-21
Résumé
Established in 2017, Featuremine Corporation, is a Toronto-based Artificial Intelligence (AI) software developer of flexible tools for financial companies. The company provides a comprehensive ecosystem for quantitative financial research, Machine Learning (ML) and algorithmic trading, helping players in the financial sector, such as market makers and hedge funds, with deployment of AI/ML concepts into operational workflows.
One of the barriers that the company identified, and which may limit market adoption of such products, is the computing cost. As it is typical for AI-based solutions, algorithm training often requires a lot of computing power, making it very costly, and prohibitive for smaller players in this market segment. In order to reduce this barrier, Featuremine is partnering with Seneca to research and develop a secure distributed volunteer computing framework that will enable development and commercialization of their new Deep Learning product for financial markets.
Programme
Applied Research and Development Grants - Level 1
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
556358-2020
Name nom
Leaver, Chad
Department département
Head Office
Organization id
1803
Institution établissement
Seneca College of Applied Arts and Technology
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2020
Competition year année de concours
2020
Award amount
25000
Program id
CARD1
Program name en
Applied Research and Development Grants - Level 1
Program name fr
Subventions de recherche et développement appliquée - niveau 1
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1561
Committee name en
Applied Research and Development Grants
Committee name fr
Subventions de recherche et développement appliquée
Area of application code
800
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Information and communication services
Area of application fr
Services d'information et de télécommunications
Research subject code
2700
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Information technology
Research subject fr
Technologie de l'information
Installment
inst:1 - 1
Partie
1
Nb partie
1
Application title
Developing a deep-learning volunteer computing platform
Keyword
NSERC
Application summary
Established in 2017, Featuremine Corporation, is a Toronto-based Artificial Intelligence (AI) software developer of flexible tools for financial companies. The company provides a comprehensive ecosystem for quantitative financial research, Machine Learning (ML) and algorithmic trading, helping players in the financial sector, such as market makers and hedge funds, with deployment of AI/ML concepts into operational workflows.
One of the barriers that the company identified, and which may limit market adoption of such products, is the computing cost. As it is typical for AI-based solutions, algorithm training often requires a lot of computing power, making it very costly, and prohibitive for smaller players in this market segment. In order to reduce this barrier, Featuremine is partnering with Seneca to research and develop a secure distributed volunteer computing framework that will enable development and commercialization of their new Deep Learning product for financial markets.
