In2h2

Bruce Kent McCormick

Vardan Movsisyan

Mickey Lee Fandrich

Mick Fandrich

William Harry Nagel

Matthew McCormick

Bill H Nagel

Christopher John McCormick

Chris J McCormick

A nonlinear neuron classifier comprising a neuron array including a plurality of neuron chips each including a plurality of neurons of variable length and variable depth, the chips processing input vectors of variable length and variable depth that are input into the classifier for comparison against vectors stored in the classifier, wherein an NSP flag is set for a plurality of the neurons to indicate that only that plurality of neurons is to participate in the vector calculations. A virtual content addressable memory flag is set for certain of the neuron chips to enable functions including fast readout of data from the chips. Results of vector calculations are aggregated for fast readout for a host computer interfacing with the classifier.

Hardware enhancements to radial basis function with restricted coulomb energy learning and/or k-Nearest Neighbor based neural network classifiers

This disclosure describes embodiments for a hardware based neural network integrated circuit classifier incorporating natively implemented Radial Basis functions, Restricted Coulomb Energy function, and/or kNN to make it more practical for handling a broader group of parallel algorithms.

Hardware enhancements to radial basis function with restricted coulomb energy learning and/or K-nearest neighbor based neural network classifiers

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Granite Bay, CA, United States of America

Bruce Kent McCormick