Patent ID: 11966831
Assignee: NUMENTA, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A computer-implemented method comprising:
obtaining, by a first processing node, a series of sparse distributed vectors over time based on input data received at the first processing node that changes over time, wherein the series of sparse distributed vectors include non-binary scalar values;
performing temporal processing on the series of sparse distributed vectors at the first processing node by at least:
generating vectors indicating activation of a select subset of elements of the first processing node, the vectors generated responsive to receiving the series of sparse distributed vectors by predicting or detecting one or more spatial patterns or one or more temporal sequences in the series of sparse distributed vectors, and
providing first sequence inputs to another subset of elements in a second processing node other than the first processing node, the first sequence inputs representing the activation of the select subset of elements in the first processing node,
responsive to the prediction or detection of the one or more temporal sequences in the input data, establishing association between the select subset of elements in the first processing node and a subset of elements in the second processing node; and

generating output data from the generated vectors to indicate at least prediction or detection of the one or more spatial patterns or the one or more temporal sequences in the input data.