The performance of conventional computer based on von Neumann architecture is limited
due to the physical separation of memory and processor. By synergistically integrating …

Since the beginning of the 21st century, there is no doubt that the importance of artificial
intelligence has been highlighted in many fields, among which the memristor-based artificial …

Neuromorphic computing aims at the realization of intelligent systems able to process
information similarly to our brain. Brain-inspired computing paradigms have been …

Neuromorphic electronics draw attention as innovative approaches that facilitate hardware
implementation of next‐generation artificial intelligent system including neuromorphic in …

Novel memory devices are essential for developing low power, fast, and accurate in‐
memory computing and neuromorphic engineering concepts that can compete with the …

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 …

With increasing computing demands, serial processing in von Neumann architectures built
with zeroth-order complexity digital circuits is saturating in computational capacity and …

Resistive switching memory (RRAM) is a promising technology for embedded memory and
its application in computing. In particular, RRAM arrays can provide a convenient primitive …

To enable smart home applications, embedding home monitoring systems with different
sensors can be a feasible remedy to capture the multimodal sensory information from daily …

In our brain, information is exchanged among neurons in the form of spikes where both the
space (which neuron fires) and time (when the neuron fires) contain relevant information …