Incorporating machine learning (ML) components into software products raises new
software-engineering challenges and exacerbates existing ones. Many researchers have …

Machine learning techniques, especially deep learning, have achieved remarkable
breakthroughs over the past decade. At present, machine learning applications are …

The last decade witnessed increasingly rapid progress in self‐driving vehicle technology,
mainly backed up by advances in the area of deep learning and artificial intelligence (AI) …

This paper provides a comprehensive survey of techniques for testing machine learning
systems; Machine Learning Testing (ML testing) research. It covers 144 papers on testing …

Recent advances in machine learning have stimulated widespread interest within the
Information Technology sector on integrating AI capabilities into software and services. This …

The potential for machine learning (ML) systems to amplify social inequities and unfairness
is receiving increasing popular and academic attention. A surge of recent work has focused …

Deep learning has recently seen rapid development and received significant attention due
to its state-of-the-art performance on previously-thought hard problems. However, because …

Recent technological advances, especially in the field of machine learning, provide
astonishing progress on the road towards artificial general intelligence. However, tasks in …

Although large language models (LLMs) have demonstrated impressive potential on simple
tasks, their breadth of scope, lack of transparency, and insufficient controllability can make …

Machine learning (ML) plays an ever-increasing role in advanced automotive functionality
for driver assistance and autonomous operation; however, its adequacy from the perspective …