Neuromorphic computing has been attracting ever‐increasing attention due to superior
energy efficiency, with great promise to promote the next wave of artificial general …

Modern computation based on von Neumann architecture is now a mature cutting-edge
science. In the von Neumann architecture, processing and memory units are implemented …

For the next coming years, metaverse, digital twin and autonomous vehicle applications are
the leading technologies for many complex applications hitherto inaccessible such as health …

The spiking neural network (SNN) is regarded as a promising candidate to deal with the
great challenges presented by current machine learning techniques, including the high …

Spiking neural networks (SNNs) have garnered increased attention in the field of artificial
general intelligence (AGI) research due to their low power consumption, high computational …

Neuromorphic computing is a promising technology that realizes computation based on
event-based spiking neural networks (SNNs). However, fault-tolerant on-chip learning …

Two-dimensional arrays of bi-component structures made of cobalt and permalloy elliptical
dots with thickness of 25 nm, length 1 mm and width of 225 nm, have been prepared by a …

Working memory is a fundamental feature of biological brains for perception, cognition, and
learning. In addition, learning with working memory, which has been show in conventional …

To investigate the diversified technologies in Internet of Vehicles (IoVs) under intelligent
edge computing, brain-inspired computing techniques are proposed in this study, which is a …

Breast cancer is one of the most significant causes of death for women around the world.
Breast thermography supported by deep convolutional neural networks is expected to …