Implementations of artificial neural networks that borrow analogue techniques could
potentially offer low-power alternatives to fully digital approaches,–. One notable example is …

Processing-in-memory (PIM) is a promising solution to address the" memory wall"
challenges for future computer systems. Prior proposed PIM architectures put additional …

Memristor-based computation provides a promising solution to boost the power efficiency of
the neuromorphic computing system. However, a behavior-level memristor-based …

Recent advances in development of memristor devices and crossbar integration allow us to
implement a low-power on-chip neuromorphic computing system (NCS) with small footprint …

In this study, a NiO-based resistive memristor was manufactured using a solution
combustion method. In this device, both analog and digital bipolar resistive switching were …

An artificial synapse is essential for neuromorphic computing which has been expected to
overcome the bottleneck of the traditional von-Neumann system. Memristors can work as an …

Neuromorphic computing is recently gaining significant attention as a promising candidate
to conquer the well-known von Neumann bottleneck. In this work, we propose RENO--a …

The rapid development of large language models (LLMs) has significantly transformed the
field of artificial intelligence, demonstrating remarkable capabilities in natural language …

The future generation of digital technology will heavily rely on power efficient non-volatile
resistive memory systems as a potential alternative to flash memory due to its limitations in …

Neuromorphic computing system (NCS) is a promising architecture to combat the well-
known memory bottleneck in Von Neumann architecture. The recent breakthrough on …