Memristors, or “memory resistors,” are the leading candidate for replacing synapses in a neuromorphic (brain-like) computer.
A single structure built in the metal layers of an IC can implement both machine learning and analogue AI inferencing, according to a French team led by Grenoble lab CEA-Leti – and the CMOS below can ...
A new technical paper titled “An Ultra-Robust Memristor Based on Vertically Aligned Nanocomposite with Highly Defective ...
Researchers at the University of Greifswald, International Iberian Nanotechnology Laboratory, Max Planck Institute for the ...
Negative differential resistance, sometimes called negative dynamic resistance (NDR), occurs when an increase in voltage ...
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Organic Memristor Powers Ultra-Efficient In-Sensor Edge Computing
Innovative optoelectronic memristors enable efficient in-sensor edge computing, reducing latency and power consumption while ...
Abstract: Due to their synaptic-like characteristics and memory properties, memristors are often used in neuromorphic circuits, particularly neural network circuits. However, most of the existing ...
Abstract: This paper presents a memristor emulator based on an operational transconductance amplifier (OTA). The proposed memristor emulator circuit contains only one OTA, two external MOSFETs and one ...
Department of Materials Science and Engineering, Seoul National University, Seoul 08826, Republic of Korea Research Institute of Advanced Materials (RIAM), Seoul National University, Seoul 08826, ...
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