Personal mobile devices such as smartwatches, smart jewelry, and smart clothes have
launched a new trend in the Internet of Things (IoT) era, namely the Internet of Wearable …

The rapid growth of demanding applications in domains applying multimedia processing
and machine learning has marked a new era for edge and cloud computing. These …

Technology is continually undergoing a constituent development caused by the appearance
of billions new interconnected “things” and their entrenchment in our daily lives. One of the …

Addition units are widely used in many computational kernels of several error-tolerant
applications such as machine learning and signal, image, and video processing. Besides …

Some of the recent developments in data science for worldwide disease control have
involved research of large-scale feasibility and usefulness of digital contact tracing, user …

Hyperdimensional computing (HDC) is an emerging computing paradigm that imitates the
brain's structure to offer a powerful and efficient processing and learning model. In HDC, the …

The challenging deployment of compute-intensive applications from domains such as
Artificial Intelligence (AI) and Digital Signal Processing (DSP), forces the community of …

Approximate computing can significantly reduce the energy consumption of computing
systems. Mixed-precision hardware architectures and precision-tuning tools for software …

In this paper, we present our state-of-the-art approximate techniques that cover the main
pillars of approximate computing research. Our analysis considers both static and …

In-memory computing (IMC) has attracted significant interest in recent years as it aims to
bridge the memory bottleneck in the Von Neumann architectures. IMC also improves the …