Testability and dependability of AI hardware: Survey, trends, challenges, and perspectives
Hardware realization of artificial intelligence (AI) requires new design styles and even
underlying technologies than those used in traditional digital processors or logic circuits …
underlying technologies than those used in traditional digital processors or logic circuits …
Real-Time Diagnostic Technique for AI-Enabled System
H Itsuji, T Uezono, T Toba… - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
The last few decades have witnessed a dramatic evolution of Artificial Intelligence (AI)
algorithms, represented by Deep Neural Networks (DNNs), resulting in AI-enabled systems …
algorithms, represented by Deep Neural Networks (DNNs), resulting in AI-enabled systems …
A Survey of Deep Learning Library Testing Methods
In recent years, software systems powered by deep learning (DL) techniques have
significantly facilitated people's lives in many aspects. As the backbone of these DL systems …
significantly facilitated people's lives in many aspects. As the backbone of these DL systems …
Dr. DNA: Combating Silent Data Corruptions in Deep Learning using Distribution of Neuron Activations
Deep neural networks (DNNs) have been widely-adopted in various safety-critical
applications such as computer vision and autonomous driving. However, as technology …
applications such as computer vision and autonomous driving. However, as technology …
Deep Learning Library Testing: Definition, Methods and Challenges
Recently, software systems powered by deep learning (DL) techniques have significantly
facilitated people's lives in many aspects. As the backbone of these DL systems, various DL …
facilitated people's lives in many aspects. As the backbone of these DL systems, various DL …
Resilient Deep Learning Accelerators
Y He - 2023 - search.proquest.com
Deep learning (DL) accelerators have been widely deployed in a broad range of application
domains, ranging from edge computing, self-driving cars, to cloud services. Resilience …
domains, ranging from edge computing, self-driving cars, to cloud services. Resilience …
A test case for the evaluation of AI-oriented hardware accelerators reliability
Y Zhang - 2024 - webthesis.biblio.polito.it
This article focuses on AI-Oriented Hardware Accelerators Reliability Using NVDLA Deep
Learning Accelerator from NVIDIA As an example, the NVDLA Deep Learning Accelerator …
Learning Accelerator from NVIDIA As an example, the NVDLA Deep Learning Accelerator …