Creating & applying machine learning tools to improve real-time adaptive response in chaotic systems. New, model-free, non-parametric, empirically-based algorithms may derive from diverse disciplines, biomimicry, gaming, crowdsourcing or serendipity.
Improving trend and anomaly detection in real-time data-streams for domains like societal behavior, server management, computational finance, and consumer response.
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