Multifunctional Nanotechnology Research

Abstract

The overarching objective of this effort is to provide a foundation for an affordable, ultra-dense, low-power computer system for processing spatio-temporal data on the fly. This includes construction of a mixed mode (including analog and digital circuits) neuromorphic computing system built for rapid configuration, dynamic adaptation, low-power operation, and that is well suited for processing spatio-temporal data. Neuromorphic or neuro-inspired computer architectures are particularly worthwhile given the increasing number of big data problems requiring techniques and systems that can capture knowledge from an abundance of data. Thus, the proposed memristor-based dynamic adaptive neural network array (mrDANNA) addresses contemporary application challenges while also enabling continued performance scaling.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2016
Accession Number
AD1006464

Entities

People

  • Joseph E. Van Nostrand

Organizations

  • Rome Laboratory

Tags

Communities of Interest

  • Advanced Electronics

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Big Data
  • Circuits
  • Computing System Architectures
  • Construction
  • Data Storage Systems
  • Government Procurement
  • Governments
  • Information Exchange
  • Memristors
  • Metal Oxides
  • Military Research
  • Nanotechnology
  • Networks
  • Neural Networks
  • Technical Information Centers

Readers

  • Distributed Systems and Data Platform Development
  • Integrated Circuit Design and Technology.
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • Biotechnology