Senior Manager Quantitative Analytics
Product Management Director
Co-Founder & Data Scientist
The Financial Times
Head of Product & Marketing
Co-founder & Chief Scientist,
Postdoctoral Researcher & Founder
Hanken School of Economics
Digital Innovation Project Manager
University College London
"Classification-based Financial Markets Prediction using Deep Neural Networks". In this paper Diego Klabjan helps describe how DNNs are used to predict movements in the financial market by explaining the configuration and training approach and demonstrating the application strategy.
Alpaca's mission is to democratize the institution-level digital asset management in capital markets such as quantitative financial analysis and trading automation using Artificial Intelligence. We currently provide a product called Capitalico, which helps traders build automated trading algorithms without any lines of programming code by simply highlighting the similar patterns in the historical
"RiskRank: Measuring Interconnected Risk". Peter Sarlin proposes a joint measure of cyclical and cross-sectional systemic risk using RiskRank which is employed to aggregate risk measures. The paper provides an estimation of systemic risk from country-level risk and cross-border linkages.
Discover advances in deep learning tools and techniques from the world's leading innovators across industry, academia and the financial sector. Speakers will share insights into recent breakthroughs in technical advancements and fintech applications including financial forecasting & compliance.
Learn about deep learning applications in the financial sector from algorithms to forecast financial data, to tools used for data mining & pattern recognition in financial time series, to scaling predictive models, to stock market prediction, to using blockchain technology.
A unique opportunity to interact with industry leaders, influential technologists, data scientists & founders leading the deep learning revolution. Learn from & connect with 200+ industry innovators sharing best practices to improve regulations, security and risk in the financial sector.
Deep Learning Algorithms
Stock Market Prediction
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Chief Knowledge Officer, NASA
"Excellent event. Good combination of highly technical and broader presentation that gave me a good understanding of the current state and potential of the Deep Learning" RE•WORK Deep Learning Summit San Fran 2015
Director of IoT Market Strategy, Xively
"'I’ve been to countless IoT events, and this was hands down one of the most interesting. It was nice to see actual people building actual connected products giving their perspective." RE•WORK IoT Summit Boston 2015
Future & Emerging Technologies Unit
"RE•WORK provided a unique mix of technology, from the exploration of latest scientific findings to startups that can make them a reality" RE•WORK Technology Summit London 2014
10 October 2017, Montreal
What are the latest advancements in deep learning research? Where are the most recent scientific breakthroughs? Hear the latest research news from global pioneers in Natural Language Processing, GANs, Reinforcement Learning, CNNs and Unsupervised Learning at the summit.
11 October 2017, Montreal
Leading minds in machine intelligence will come together for an evening of networking and keynote presentations. Join us for a three course meal to support women in AI and Machine Intelligence.
22 November 2017, London
Leading minds in healthcare and machine intelligence will come together for an evening of networking and keynote presentations around tools & techniques set to revolutionise healthcare applications, medicine & diagnostics. Join us for a three course meal to support and showcase women in Healthcare and Machine Intelligence.