Artificial intelligence for safety-critical systems in industrial and transportation domains: A survey

J Perez-Cerrolaza, J Abella, M Borg, C Donzella… - ACM Computing …, 2024 - dl.acm.org
Artificial Intelligence (AI) can enable the development of next-generation autonomous safety-
critical systems in which Machine Learning (ML) algorithms learn optimized and safe …

Management of medico-legal risks in digital health era: a sco** review

A Oliva, S Grassi, G Vetrugno, R Rossi… - Frontiers in …, 2022 - frontiersin.org
Artificial intelligence needs big data to develop reliable predictions. Therefore, storing and
processing health data is essential for the new diagnostic and decisional technologies but …

GPU devices for safety-critical systems: A survey

J Perez-Cerrolaza, J Abella, L Kosmidis… - ACM Computing …, 2022 - dl.acm.org
Graphics Processing Unit (GPU) devices and their associated software programming
languages and frameworks can deliver the computing performance required to facilitate the …

Fast CNN-based single-person 2D human pose estimation for autonomous systems

C Papaioannidis, I Mademlis… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This paper presents a novel Convolutional Neural Network (CNN) architecture for 2D human
pose estimation from RGB images that balances between high 2D human pose/skeleton …

Statistical perspectives on reliability of artificial intelligence systems

Y Hong, J Lian, L Xu, J Min, Y Wang… - Quality …, 2023 - Taylor & Francis
Artificial intelligence (AI) systems are increasingly popular in many applications.
Nevertheless, AI technologies are still develo**, and many issues need to be addressed …

Co-evolutionary hybrid intelligence is a key concept for the world intellectualization

K Krinkin, Y Shichkina, A Ignatyev - Kybernetes, 2023 - emerald.com
Purpose This study aims to show the inconsistency of the approach to the development of
artificial intelligence as an independent tool (just one more tool that humans have …

Gem5-marvel: Microarchitecture-level resilience analysis of heterogeneous soc architectures

O Chatzopoulos, G Papadimitriou… - … Symposium on High …, 2024 - ieeexplore.ieee.org
In this paper, we present gem5-MARVEL, the first consolidated microarchitecture-level fault
injection infrastructure for heterogeneous System-on-Chip architectures comprising CPUs of …

Artificial intelligence in forensic science: Invasion or revolution?

E Ahmed Alaa El-Din - Egyptian Society of Clinical Toxicology …, 2022 - esctj.journals.ekb.eg
Artificial Intelligence (AI) is a branch of software engineering; concerned with a computer
process that can mimic human behavior and thought processes such as learning, reasoning …

Dependable dnn accelerator for safety-critical systems: A review on the aging perspective

I Moghaddasi, S Gorgin, JA Lee - IEEE Access, 2023 - ieeexplore.ieee.org
In the modern era, artificial intelligence (AI) and deep learning (DL) seamlessly integrate into
various spheres of our daily lives. These cutting-edge disciplines have given rise to …

Shielded Reinforcement Learning: A review of reactive methods for safe learning

H Odriozola-Olalde, M Zamalloa… - 2023 IEEE/SICE …, 2023 - ieeexplore.ieee.org
Reinforcement Learning (RL) algorithms are showing promising results in simulated
environments, but their replication in real physical applications, even more so in safety …