The AI Investment platform will be new solution offered in the financial market as Software as a Service. The new solution will be created based on the results of the proof of concept prepared in the project. AI Investment will use the state-of-the-art machine learning (ML) algorithms: both in financial time series prediction (multi-head neural networks based on combination of different types of networks: Wavenet, ResNet, Dilated LSTM, SFM, Differentiable Neural Computer and other; and reinforcement learning: differentiable neural trees, MCSnet, Alpha Zero, multi agent cooperation, meta learning and many more. Unlike some available solutions, AI Investment will use the potential of the latest achievements of machine learning and learn optimization methods and their parameters from data instead of deterministic work performed by the analysts that is optimized in the data mining process. Furthermore, the AI Investment platform will be capable of recursive self-improvement.
Project leader: Geir Horn
Institution: Institutt for informatikk