Li‐Ion‐Based Electrolyte‐Gated Transistors with Short Write‐Read Delay for Neuromorphic Computing

Tutorial: Neuromorphic computing

Viability of a Delay Testing of Gate Oxide Short Transistors

Gate Oxide Short defects are becoming predominant as technology is scaling down. Boolean and IDDQ testing of this defect has been widely studied but there is no paper dedicated to delay testing of this defect. So, this paper studies the delay behavior of Gate Oxide Short faults due to pinhole in the gate oxide. The objective of this paper is to give a detailed analysis of the behavior of the GO...

ReRAM-Based Neuromorphic Computing

Artificial neural networks are currently being used as a promising means to solve problems in machine learning and computer science [1–3]. These networks are loosely inspired by massively parallel biological neural systems, but they are often implemented on mostly sequential hardware computing platforms, ignoring key features of real neural processing systems, such as their ability to carry out...

Neuromorphic computing with multi-memristive synapses

Brain-inspired neuromorphic computing has recently emerged as a promising avenue towards building the next generation of intelligent computing systems. It has been proposed that memristive devices, which exhibit history-dependent conductivity modulation, could be used to efficiently represent the strength of synaptic connections between the neuronal nodes in neural networks. However, precise mo...

Automotive Computing, Neuromorphic Computing, and Beyond

Welcome to 2018 and IEEE Micro’s 38th year. I’m delighted about last year’s issues. In addition to the traditional special issues on Hot Chips and Top Picks, we had special issues on cognitive architectures, architectures for the post-Moore era, Cool Chips and Hot Interconnects, and ultra-low-power processors. I deeply appreciate the efforts of everyone who reviewed the many articles submitted ...