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06/16/2023
Enhancing Fault Resilience of QNNs by Selective Neuron Splitting
The superior performance of Deep Neural Networks (DNNs) has led to their...
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05/31/2023
Special Session: Approximation and Fault Resiliency of DNN Accelerators
Deep Learning, and in particular, Deep Neural Network (DNN) is nowadays ...
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05/31/2023
A Novel Fault-Tolerant Logic Style with Self-Checking Capability
We introduce a novel logic style with self-checking capability to enhanc...
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05/31/2023
APPRAISER: DNN Fault Resilience Analysis Employing Approximation Errors
Nowadays, the extensive exploitation of Deep Neural Networks (DNNs) in s...
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05/09/2023
A Systematic Literature Review on Hardware Reliability Assessment Methods for Deep Neural Networks
Artificial Intelligence (AI) and, in particular, Machine Learning (ML) h...
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04/26/2023
Noise-Tolerance GPU-based Age Estimation Using ResNet-50
The human face contains important and understandable information such as...
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03/15/2023
LRDB: LSTM Raw data DNA Base-caller based on long-short term models in an active learning environment
The first important step in extracting DNA characters is using the outpu...
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03/14/2023
DeepAxe: A Framework for Exploration of Approximation and Reliability Trade-offs in DNN Accelerators
While the role of Deep Neural Networks (DNNs) in a wide range of safety-...
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03/13/2023
DeepVigor: Vulnerability Value Ranges and Factors for DNNs' Reliability Assessment
Deep Neural Networks (DNNs) and their accelerators are being deployed ev...
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09/21/2020
A high-performance MEMRISTOR-based Smith-Waterman DNA sequence alignment Using FPNI structure
This paper aims to present a new re-configuration sequencing method for ...
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09/11/2020
