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Accession Number:
AD1076921
Title:
Development of a Memristive Dynamic Adaptive Neural Network Array (MRDANNA)
Report Date:
2019-07-19
Abstract:
The objective of this effort was to build affordable, manufacturable, low power, dynamic neuromorphic computing platform for handling spiky, highly variable information/data, as well as develop a low-power, hybrid memristor/CMOS neuron / synapse implementation for implementation of a hardware-based dynamic neural network array. The approach was to leverage hybrid CMOS/memristor encryption project to design, fabricate, and test memristor/CMOS neurons / synapses, and integrate them with existing FPGA implementations for full-scale dynamic neural network array demonstration. In addition, to make a module design kit library available for other circuits and architectures, thus making advancements in this effort useful to future designs that utilize hybrid CMOS/memristor technologies.
Document Type:
Conference:
Journal:
Pages:
44
File Size:
3.96MB
FA8750-16-1-0063
(FA87501610063);
Contracts:
Grants:
Distribution Statement:
Approved For Public Release
