EnTrustED (PARROT)
Project overview
EnTrustED is a collaborative research effort between Estonian and French partners focusing on dependable and trustworthy embedded AI systems. The project investigates methodologies for improving robustness, resilience, and efficiency in intelligent embedded platforms operating in constrained and safety-critical environments. RSS-related contributions include: Reliable AI hardware acceleration Dependability analysis of embedded AI systems Approximate and adaptive computing methods Fault-aware neural network deployment Exploration of resilient edge AI architectures The collaboration supports joint research activities, scientific exchange, and cross-institutional cooperation between participating European research groups working on dependable AI technologies.
- Funder
- Estonian–French Collaborative Research Initiative
- Duration
- No information available.
- Partners
- No information available.
Institutional context
- Tallinn University of Technology
Associated institution
Related topics
Related people
Publications and outputs
- 20260 citations
REQAP: Resilient Weight Packing and Quantization for Edge DNN Acceleration
Mahdi Taheri, Samira Nazari, Mubassher Ansari, Ali Azarpeyvand, Mohsen Afsharchi, Maksim Jenihhin, and Christian Herglotz
