Neuro-inspired computing chips
The rapid development of artificial intelligence (AI) demands the rapid development of
domain-specific hardware specifically designed for AI applications. Neuro-inspired …
domain-specific hardware specifically designed for AI applications. Neuro-inspired …
Resistive switching materials for information processing
The rapid increase in information in the big-data era calls for changes to information-
processing paradigms, which, in turn, demand new circuit-building blocks to overcome the …
processing paradigms, which, in turn, demand new circuit-building blocks to overcome the …
Neuro-inspired electronic skin for robots
Touch is a complex sensing modality owing to large number of receptors (mechano, thermal,
pain) nonuniformly embedded in the soft skin all over the body. These receptors can gather …
pain) nonuniformly embedded in the soft skin all over the body. These receptors can gather …
A comprehensive review on emerging artificial neuromorphic devices
The rapid development of information technology has led to urgent requirements for high
efficiency and ultralow power consumption. In the past few decades, neuromorphic …
efficiency and ultralow power consumption. In the past few decades, neuromorphic …
Edge learning using a fully integrated neuro-inspired memristor chip
Learning is highly important for edge intelligence devices to adapt to different application
scenes and owners. Current technologies for training neural networks require moving …
scenes and owners. Current technologies for training neural networks require moving …
Bridging biological and artificial neural networks with emerging neuromorphic devices: fundamentals, progress, and challenges
As the research on artificial intelligence booms, there is broad interest in brain‐inspired
computing using novel neuromorphic devices. The potential of various emerging materials …
computing using novel neuromorphic devices. The potential of various emerging materials …
In-sensor reservoir computing for language learning via two-dimensional memristors
The dynamic processing of optoelectronic signals carrying temporal and sequential
information is critical to various machine learning applications including language …
information is critical to various machine learning applications including language …
2D material based synaptic devices for neuromorphic computing
G Cao, P Meng, J Chen, H Liu, R Bian… - Advanced Functional …, 2021 - Wiley Online Library
The demand for computing power has been increasing exponentially since the emergence
of artificial intelligence (AI), internet of things (IoT), and machine learning (ML), where novel …
of artificial intelligence (AI), internet of things (IoT), and machine learning (ML), where novel …
Hafnium Oxide (HfO2) – A Multifunctional Oxide: A Review on the Prospect and Challenges of Hafnium Oxide in Resistive Switching and Ferroelectric Memories
Hafnium oxide (HfO2) is one of the mature high‐k dielectrics that has been standing strong
in the memory arena over the last two decades. Its dielectric properties have been …
in the memory arena over the last two decades. Its dielectric properties have been …
Volatile and nonvolatile memristive devices for neuromorphic computing
Ion migration as well as electron transfer and coupling in resistive switching materials
endow memristors with a physically tunable conductance to resemble synapses, neurons …
endow memristors with a physically tunable conductance to resemble synapses, neurons …