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Quantum neural network research implementing multi-dimensional neuron representations. Explores theoretical integration of quantum computing principles into neural systems to investigate emergent cognition and consciousness.
In this project I look at the high dimensional MNIST dataset of handwritten digits and use PCA, t-SNE and Topological data analysis (TDA) to visualise and understand the dataset.
This repository contains the R-Package for a novel time series forecasting method designed to handle very large sets of predictive signals, many of which are irrelevant or have only short-lived predictive power.