With the ever‐growing adoption of artificial intelligence (AI)‐based systems, the carbon
footprint of AI is no longer negligible. AI researchers and practitioners are therefore urged to …

The last decade has witnessed the rise of the proliferation of Internet-enabled devices. The
Internet of Things (IoT) is becoming ever more pervasive in everyday life, connecting an ever …

The use of Artificial Intelligence (ai), and more specifically of Deep Learning (dl), in modern
software systems, is nowadays widespread and continues to grow. At the same time, its …

This paper reports on a design science research (DSR) study that develops design
principles for “green”–more environmentally sustainable–data mining processes. Grounded …

Deep Learning has enabled many advances in machine learning applications in the last few
years. However, since current Deep Learning algorithms require much energy for …

Artificial Intelligence (AI) and Machine Learning (ML) have experienced rapid growth in both
industry and academia. However, the current ML and AI models demand significant …

This paper explores the performance of Google's Edge TPU on feed-forward neural
networks. We consider Edge TPU as a hardware platform and explore different architectures …

The rapid growth of data and the increasing complexity of modern networks have driven the
demand for intelligent solutions in the information and communications technology (ICT) …

Due to the climate crisis, energy-saving issues and carbon reduction have become the top
priority for all countries. Owing to the increasing popularity of advanced metering …

As artificial intelligence (AI) and machine learning (ML) advance, concerns about their
sustainability impact grow. The emerging field" Sustainability of AI" addresses this issue …