Jul
11
Presentation at WIICT 2025
July 11, 2025 | | Comments Off on Presentation at WIICT 2025
Joaquín Gracia-Morán has presented the work entitled “Dependability analysis of neural networks
implemented in Arduino” at WIICT 2025.
Abstract
The use of neural networks has expanded to environments as diverse as medical systems, industrial devices and space systems. In these cases, it is essential to balance performance, power consumption, and silicon area. Furthermore, in critical environments, it is necessary to ensure high fault tolerance.
Traditionally, the parameters of neural networks have been codified using 32-bit floating-point numbers, which entails high memory consumption and greater vulnerability to failures due to the aggressive scaling of CMOS technology. An effective strategy for optimizing these systems is to reduce parameter precision, using fewer bits and thus, reducing both the amount of memory required and the processing time.
However, several questions arise when implementing these types of networks in embedded systems: Do they maintain their reliability in critical environments, or do they require fault tolerance mechanisms? Are area and latency really reduced?
This work addresses these questions by reducing the precision of a neural network and implementing it in an Arduino-based system. In addition, Error Correction Codes have been incorporated and, using the fault injection technique, their reliability has been evaluated by comparing the same neural network with parameters encoded in 8, 16 and 32 bits.
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