Edge Computing (EC) is a new architecture that extends Cloud Computing (CC) services
closer to data sources. EC combined with Deep Learning (DL) is a promising technology …

Modern deep learning methods constitute incredibly powerful tools to tackle a myriad of
challenging problems. However, since deep learning methods operate as black boxes, the …

The recent proliferation of computing technologies (eg, sensors, computer vision, machine
learning, and hardware acceleration) and the broad deployment of communication …

Abstract Nowadays, Deep Learning is the most attractive research trend in the area of
Machine Learning. With the ability of learning features from raw data by deep architectures …

The wave of modernization around us has put the automotive industry on the brink of a
paradigm shift. Leveraging the ever-evolving technologies, vehicles are steadily …

Background: Developing and maintaining large scale machine learning (ML) based
software systems in an industrial setting is challenging. There are no well-established …

Introduction Artificial Intelligence (AI) has become ubiquitous in medicine, business,
manufacturing and transportation, and is entering our personal lives. Public perceptions of …

Artificial intelligence (AI) and machine learning (ML) tools play a significant role in the recent
evolution of smart systems. AI solutions are pushing towards a significant shift in many fields …

Deep learning (DL) based software systems are difficult to develop and maintain in industrial
settings due to several challenges. Data management is one of the most prominent …

When collaborating with artificial intelligence (AI), humans can often delegate tasks to
leverage complementary AI competencies. However, humans often delegate inefficiently …