The advent of Question Answering Systems (QASs) has been envisaged as a promising
solution and an efficient approach for retrieving significant information over the Internet. A …

Deep learning tasks cover a broad range of domains and an even more extensive range of
applications, from entertainment to extremely safety-critical fields. Thus, Deep Neural …

Hardware realization of artificial intelligence (AI) requires new design styles and even
underlying technologies than those used in traditional digital processors or logic circuits …

Artificial Intelligence (AI) and, in particular, Machine Learning (ML), have emerged to be
utilized in various applications due to their capability to learn how to solve complex …

Rowhammer Attack, a new DRAM-based attack, was developed exploiting weak cells to
alter their content. Such attacks can be launched at the user level without requiring access …

As CNNs are being extensively employed in high performance and safety-critical
applications that demand high reliability, it is important to ensure that they are resilient to …

Traffic sign recognition (TSR) is a noteworthy issue for real-world applications such as
systems for autonomous driving as it has the main role in guiding the driver. This paper …

The great quest for adopting AI-based computation for safety-/mission-critical applications
motivates the interest towards methods for assessing the robustness of the application wrt …

Road noise barriers (RNBs) are important urban infrastructures to relieve the harm of traffic
noise pollution for citizens. Therefore, obtaining the spatial distribution characteristics of …

The complexity of both hardware and software makes GPUs reliability evaluation extremely
challenging. A low level fault injection on a GPU model, despite being accurate, would take …