In-memory computing (IMC) has emerged as a new computing paradigm able to alleviate or
suppress the memory bottleneck, which is the major concern for energy efficiency and …

Humanoid robots, intelligent machines resembling the human body in shape and functions,
cannot only replace humans to complete services and dangerous tasks but also deepen the …

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 …

Real‐time intrusion detection system based on the von Neumann architecture struggle to
balance low power consumption and high computing speed. In this work, a strategy for …

Neuromorphic computing promises to transform the current paradigm of traditional
computing toward non-von Neumann dynamic energy-efficient problem solving. To realize …

HfO 2-based resistive switching memory (RRAM) combines several outstanding properties,
such as high scalability, fast switching speed, low power, compatibility with complementary …

To apply resistive random‐access memory (RRAM) to the neuromorphic system and
improve performance, each cell in the array should be able to operate independently by …

With the increasing demand for artificially intelligent hardware systems for brain-inspired in-
memory and neuromorphic computing, understanding the underlying mechanisms in the …

Neuromorphic computing approaches become increasingly important as we address future
needs for efficiently processing massive amounts of data. The unique attributes of quantum …

Neuromorphic computation based on resistive switching devices represents a relevant
hardware alternative for artificial deep neural networks. For the highest accuracies on …