Abstract: A computer-implemented method is disclosed. The method may include providing, in a computer-readable storage device, a dataspace. The dataspace may include a plurality of logical segments, and dataspace data stored in the plurality of logical segments. The method may include receiving, from a data source external to the dataspace, a data artifact. The data artifact may include a plurality of data elements. The method may include processing, at a plurality of data filters, the plurality of data elements. A data filter of the plurality of data filters may process a data element of the plurality of data elements, based on a structure of the plurality of the data elements, or a configuration of the data filter. The method may include generating, based on the processed plurality of data elements, processed data. The method may include sending the processed data to the dataspace.
Type:
Application
Filed:
January 18, 2019
Publication date:
December 26, 2019
Applicant:
Deep Insight Solutions, Inc. dba Lucd
Inventors:
Christopher D. Carothers, David W. Bauer, JR., Justin Lapre, David Salmen, Joel Branch
Abstract: A computer-implemented method is disclosed. The method may include receiving, at a neuron of an artificial neural network, a sequence of synapse messages. Each synapse message may include a timestamp of the time the synapse message was sent. The method may include determining, based on the timestamp of each synapse message, whether the neuron processed the sequence of synapse messages out of order with respect to the timestamps. The method may include, in response to the neuron processing the sequence of synapse messages out of order, reverse-computing at least one computation performed by the neuron in response to processing the sequence of synapse messages out of order. The method may include performing the at least one computation based on receipt of the sequence in a correct order as determined by the timestamp of each synapse message in the sequence of synapse messages.
Type:
Grant
Filed:
September 28, 2018
Date of Patent:
September 17, 2019
Assignee:
Deep Insight Solutions, Inc.
Inventors:
Christopher D. Carothers, David W. Bauer, Jr., Justin Lapre