Fabrication of an Adaptable Neuromorphic System for Exploring Nanoelectronic Options

Abstract

“The objective of the proposed fundamental research is to demonstrate a hybrid CMOS-nanoelectronic system for evaluating novel nanoscale devices in the context of neuromorphic algorithms. The system is adaptable in the sense that various nanoelectronic devices can be integrated into upper metalization layers for the purpose of experimentally evaluating their utility and performance for neuromorphic applications. The system is reconfigurable, allowing for the implementation of any neuromorphic application in the form of a spiking neural network that can be mapped to the resulting hardware. This fabrication-based proposal is submitted in conjunction with a parallel proposal from the University of Tennessee, Knoxville, that will focus on circuit and system design and architecture, led by Prof. Garrett Rose. This proposal fits within the larger AFRL-RI component of an Applied Research for the Advancement of Science and Technology Priorities (ARAP) effort".

Document Details

Document Type
DoD Grant Award
Publication Date
Oct 01, 2021
Source ID
FA87502111019

Entities

People

  • Nathaniel C Cady

Organizations

  • Research Foundation for the State University of New York
  • Rome Laboratory
  • United States Air Force

Tags

Readers

  • Integrated Circuit Design and Technology.
  • Neural Network Machine Learning.
  • Research Science/Academic Research

Technology Areas

  • AI & ML
  • Biotechnology