In recent years, there has been a growing demand for miniaturization, low power
consumption, quick treatments, and non-invasive clinical strategies in the healthcare …

Brain-inspired computing, drawing inspiration from the fundamental structure and
information-processing mechanisms of the human brain, has gained significant momentum …

The resilience and adaptability of civil infrastructure are paramount for societal well-being
and economic stability. This paper examines the transformative impact of neuromorphic …

In this article we examine recent developments in the research area concerning the creation
of end-to-end models for the complete optimization of measuring instruments. The models …

Neuromorphic processors promise low-latency and energy-efficient processing by adopting
novel brain-inspired design methodologies. Yet, current neuromorphic solutions still struggle …

Event-driven neuromorphic processors for artificial intelligence (AI) inference on edge/IoT
devices require largeon-chip memory capacity, for efficient execution of spiking neural …

The rising complexity and data generation in cyber-physical systems and the Internet of
Things require a shift towards an edge-to-cloud computing continuum ecosystem with …

Introduction: Advances in machine vision and mobile electronics will be accelerated by the
creation of sophisticated optoelectronic vision sensors that allow for sophisticated picture …

With the expansion of AI-powered virtual assistants, there is a need for low-power keyword
spotting systems providing a “wake-up” mechanism for subsequent computationally …