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With AI, “we are in the process not of re-creating human biology,” said Thomas Naselaris, a neuroscientist at the University ...

By transforming to 2D-FFT implementation, investigating different binary tree schemes, and exploring various radices, butterflies, as well as data path structures ... multipath delay feedback (SA-MDF) ...

Source Code for HappyCoders.eu article series on tree data structures (binary tree, binary search tree, AVL tree, red-black tree).

Binary V-I trajectory image can ... Compared with optimization algorithm and machine learning, neural network has better observation ability in processing high-dimensional data features. Therefore, a ...

Clustering can be regarded as the foremost unsupervised learning problem that aims to identify patterns or structures within data by grouping similar ... performance of machine learning algorithms ...

Zhang and his collaborators describe a novel algorithm that can infer the structure of a hypergraph using only the observed dynamics. Their algorithm uses time-series data—observations collected at ...