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Explores Neuromorphic Computing with Artificial Spin Systems, discussing the need for new computing paradigms and the potential of artificial spin systems for neuromorphic computing applications.
Explores graphical model learning with M-estimators, Gaussian process regression, Google PageRank modeling, density estimation, and generalized linear models.
Explores the historical background and properties of regular polyhedra in Euclidean geometry, including the construction of perfect even numbers and the proportionality of arcs and angles.
