Wearable devices are a fast-growing technology with impact on personal healthcare for both
society and economy. Due to the widespread of sensors in pervasive and distributed …

Neuromorphic computing has emerged as one of the most promising paradigms to
overcome the limitations of von Neumann architecture of conventional digital processors …

Artificial intelligence (AI) has the ability of revolutionizing our lives and society in a radical
way, by enabling machine learning in the industry, business, health, transportation, and …

Neurobiological systems continually interact with the surrounding environment to refine their
behaviour toward the best possible reward. Achieving such learning by experience is one of …

Neuromorphic computing inspired by the neural systems in human brain will overcome the
issue of independent information processing and storage. An artificial synaptic device as a …

A deep ensemble convolutional neural network (CNN) model to inspect printed circuit board
(PCB) board dual in-line package (DIP) soldering defects with Hybrid-YOLOv2 (YOLOv2 as …

Plasticity circuits in the brain are known to be influenced by the distribution of the synaptic
weights through the mechanisms of synaptic integration and local regulation of synaptic …

Continual learning models allow them to learn and adapt to new changes and tasks over
time. However, in continual and sequential learning scenarios, in which the models are …

With the advent of low-power neuromorphic computing systems, new possibilities have
emerged for deployment in various sectors, like healthcare and transport, that require …

Novel in-memory computing circuits, based on arrays of emerging nonvolatile memories,
such as the phase-change memory (PCM), can boost cutting-edge performances of artificial …