Clarkson researchers develop artificial intelligence tool | Education

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Clarkson University researchers developed KANDy, an artificial intelligence tool designed to uncover mathematical equations governing chaotic and complex systems from data.
KANDy stands for Kolmogorov-Arnold Networks for Dynamics and aims to provide an interpretable AI model by identifying the mathematical rules driving system behavior.
Unlike traditional AI models that operate as “black boxes,” KANDy is both predictive and interpretable.
The technology employs Kolmogorov-Arnold Networks (KANs) adapted for dynamical systems, allowing it to discover governing equations even where traditional methods fail.
The study, led by Erik Bollt with contributions from Kevin Slote and Jeremie Fish, tested KANDy’s capabilities on various complex systems and demonstrated its effectiveness by recovering important topological structures in the Hopf Fibration.