Artificial neural networks for space and safety-critical applications: Reliability issues and potential solutions
P Rech - IEEE Transactions on Nuclear Science, 2024 - ieeexplore.ieee.org
Machine learning is among the greatest advancements in computer science and
engineering and is today used to classify or detect objects, a key feature in autonomous …
engineering and is today used to classify or detect objects, a key feature in autonomous …
[HTML][HTML] Resilience of deep learning applications: A systematic literature review of analysis and hardening techniques
Abstract Machine Learning (ML) is currently being exploited in numerous applications, being
one of the most effective Artificial Intelligence (AI) technologies used in diverse fields, such …
one of the most effective Artificial Intelligence (AI) technologies used in diverse fields, such …
Concurrent Classifier Error Detection (CCED) in Large Scale Machine Learning Systems
The complexity of machine learning (ML) systems increases each year. As these systems
are widely utilized, ensuring their reliable operation is becoming a design requirement …
are widely utilized, ensuring their reliable operation is becoming a design requirement …
Modeling the Effect of SEUs on the Configuration Memory of SRAM-FPGA based CNN Accelerators
Z Gao, J Feng, S Gao, Q Liu, G Ge… - IEEE Journal on …, 2024 - ieeexplore.ieee.org
Convolutional Neural Networks (CNNs) are widely used in computer vision applications.
SRAM based Field Programmable Gate Arrays (SRAM-FPGAs) are popular for the …
SRAM based Field Programmable Gate Arrays (SRAM-FPGAs) are popular for the …
Ensemble-based Reliability Enhancement for Edge-Deployed CNNs in Few-shot Scenarios
Convolutional Neural Networks (CNNs) have been applied in wide areas of computer vision,
and edge intelligence is expected to provide instant AI service with the support of broadband …
and edge intelligence is expected to provide instant AI service with the support of broadband …
Detect and Replace: Efficient Soft Error Protection of FPGA-Based CNN Accelerators
Z Gao, Y Qi, J Shi, Q Liu, G Ge, Y Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Convolutional neural networks (CNNs) are widely used in computer vision and natural
language processing. Field-programmable gate arrays (FPGAs) are a popular accelerator …
language processing. Field-programmable gate arrays (FPGAs) are a popular accelerator …
Single event effects evaluation on Convolution Neural Network in Xilinx 28nm System on Chip
X Zhao, X Du, X Xiong, C Ma, W Yang… - Chinese …, 2024 - iopscience.iop.org
Convolutional neural networks (CNN) have great exhibit excellent performance in the areas
of image recognition and object detection, which can enhance the intelligence level of …
of image recognition and object detection, which can enhance the intelligence level of …