Neuromorphic engineering (NE) encompasses a diverse range of approaches to information
processing that are inspired by neurobiological systems, and this feature distinguishes …

Modern artificial intelligence (AI) systems, based on von Neumann architecture and classical
neural networks, have a number of fundamental limitations in comparison with the …

The primary objective of this paper is to build classification models and strategies to identify
breathing sound anomalies (wheeze, crackle) for automated diagnosis of respiratory and …

The society as a whole, and many vertical sectors in particular, is becoming increasingly
digitalized. Machine Type Communication (MTC), encompassing its massive and critical …

Neuromorphic computing is henceforth a major research field for both academic and
industrial actors. As opposed to Von Neumann machines, brain-inspired processors aim at …

The recently introduced 5G New Radio is the first wireless standard natively designed to
support critical and massive machine type communications (MTC). However, it is already …

In the recent years, the spiking neural network (SNN) has attracted increasing attention due
to its low energy consumption and online learning potential. However, the design of SNN …

Electronic devices with biomaterials have paved a way toward “green electronics” to create
a sustainable future. Memristors are drawing growing attention with integrated sensing …

Emerging neuromorphic hardware promises to solve certain problems faster and with higher
energy efficiency than traditional computing by using physical processes that take place at …

We introduce a generic visual descriptor, termed as distribution aware retinal transform
(DART), that encodes the structural context using log-polar grids for event cameras. The …