Reconfigurable intelligent surfaces (RIS), a device made of low-cost meta-surfaces that can
reflect or refract the signals in the desired manner, have the immense ability to enhance the …

In recent years, deep learning models have become ubiquitous in industry and academia
alike. Deep neural networks can solve some of the most complex pattern-recognition …

Edge Federation is a new computing paradigm that seamlessly interconnects the resources
of multiple edge service providers. A key challenge in such systems is the deployment of …

Mobile-centric AI applications put forward high requirements for resource-efficiency of model
inference. Input filtering is a promising approach to eliminate the redundancy in the input so …

Industries and services are undergoing an Internet of Things centric transformation globally,
giving rise to an explosion of multi-modal data generated each second. This, with the …

Novel Artificial Intelligence (AI) approaches try to process an excessive amount of field-level
data. However, challenges arise as network bandwidth is limited, and thus this data cannot …

In recent years, the deployment of large-scale Inter-net of Things (IoT) applications has
given rise to edge federations that seamlessly interconnect and leverage resources from …

Recently, the artificial intelligence of things (AIoT) has been gaining increasing attention,
with an intriguing vision of providing highly intelligent services through the network …

Fog computing is used in Internet of Things (IoT) applications to allow end node processing
and storage to facilitate device autonomy and other benefits in light of unstable/unreliable …

Abstract As the Internet of Things (IoT) industry expands, the demand for microprocessors
and microcontrollers used in IoT systems has increased steadily. Benchmarks provide a …