Developing a deep-learning volunteer computing platform

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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.