Four Elements announces partnership with AI Singapore and NUS-Tsinghua-Southampton Centre for Extreme Search (NExT++), a joint research centre in big unstructured data analytics established by the National University of Singapore, Tsinghua University of China and University of Southampton, UK.
The aim of the project is to leverage machine learning techniques to learn and discover relevant knowledge from large scale alternate data sources for the estimation of commodity prices, notably base metals, and their applicability to other markets. Machine learning techniques, in particular deep neural networks, have recently achieved significant success in various real-world applications such as medical image recognition, product recommendation, and user profiling. Specifically, the objective of this project is to build a neural network-based solution for predicting future contract prices of base metals. NExT++ will contribute its expertise in machine learning and unstructured multi-source data analytics and involve students and professors to work alongside Four Elements’ team of quants. The Centre will also be deploying resources such as IT infrastructure for the project. The research will be conducted on the financial data and research platform, Alphien.
The collaboration between Four Elements and NExT++ is through AI Singapore’s 100 Experiments (“100E”)1 programme where both institutions will jointly develop innovative AI products and solutions for the local industry. AI Singapore is a national programme launched by the National Research Foundation to anchor deep national capabilities in artificial intelligence. The 100E programme is AI Singapore’s flagship programme to solve industries’ artificial intelligence (AI) problem statements and help them build their own AI team.
For further information, please contact:
Investor Relations
Four Elements Capital Pte Ltd
Email: info@4ecap.com
Tel: +65 6557 0578
www.fourelementscapital.com
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