Developing a deep-learning volunteer computing platform

成立于2017年的Auremine Corporation是一家总部位于多伦多的人工智能（AI）软件开发商，为金融公司提供灵活的工具。该公司为定量金融研究、机器学习（ML）和算法交易提供了一个全面的生态系统，帮助金融领域的参与者，如做市商和对冲基金，将AI/ML概念部署到运营工作流程中。 该公司确定的可能限制此类产品市场采用的障碍之一是计算成本。由于这是基于AI的解决方案的典型特征，算法训练通常需要大量的计算能力，这使得它非常昂贵，并且对于这个细分市场中的较小参与者来说是令人望而却步的。为了减少这一障碍，Araburemine正在与Seneca合作，研究和开发一个安全的分布式志愿者计算框架，这将使他们新的深度学习产品的开发和商业化成为可能。

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.