Testability and Dependability of AI Hardware: Survey, Trends, Challenges, and Perspectives

Article Properties
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Computer software
Technology
Electrical engineering
Electronics
Nuclear engineering
Electric apparatus and materials
Electric circuits
Electric networks
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Computer engineering
Computer hardware
Refrences
Title Journal Journal Categories Citations Publication Date
Analog VLSI implementation of artificial neural networks with supervised on-chip learning Analog Integrated Circuits and Signal Processing
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
2002
Dropout: A simple way to prevent neural networks from overfitting 2014
HarDNN: Feature map vulnerability evaluation in CNNs Critique Open Research & Review 2020
X-CHANGR: changing memristive crossbar mapping for mitigating line-resistance induced accuracy degradation in deep neural networks Critique Open Research & Review 2019
10.7551/mitpress/10499.001.0001 2016