Convolutional neural networks (CNNs) are widely adopted in safety-critical systems,
including space applications and autonomous vehicles. Field-programmable gate arrays …

Reliability is an important design constraint for critical applications at ground-level and
aerospace. SRAM-based FPGAs are attractive for critical applications due to their high …

Soft error has increasingly become a critical concern for SRAM-based field programmable
gate arrays (FPGAs), which could corrupt the configuration memory that stores configuration …

Due to the advantages of parallel architecture and low power consumption, a field-
programmable gate array (FPGA) is typically utilized as the hardware for convolutional …

Convolution neural networks (CNNs) have powerful data processing and learning
capabilities, which have been widely applied to image processing related applications …

Artificial neural networks (ANNs) are used in many types of computing applications.
Traditionally, ANNs have been implemented in software, executing on CPUs and even …

This work discusses the main aspects of vulnerability and degradation of accuracy of an
image classification engine implemented into SRAM-based FPGAs under faults. The image …

In recent years, topics around machine learning and artificial intelligence (AI) have (re-)
gained a lot of interest due to high demand in industrial automation applications in various …

Neural Networks (NNs) are increasingly used in the last decade in several demanding
applications, such as object detection and classification, autonomous driving, etc. Among …

Convolutional neural networks (CNN) have become essential for many scientific and
industrial applications, such as image classification and pattern detection. Among the …