Memristors—From in‐memory computing, deep learning acceleration, and spiking neural networks to the future of neuromorphic and bio‐inspired computing

A Mehonic, A Sebastian, B Rajendran… - Advanced Intelligent …, 2020 - Wiley Online Library
Machine learning, particularly in the form of deep learning (DL), has driven most of the
recent fundamental developments in artificial intelligence (AI). DL is based on computational …

Device and circuit architectures for in‐memory computing

D Ielmini, G Pedretti - Advanced Intelligent Systems, 2020 - Wiley Online Library
With the rise in artificial intelligence (AI), computing systems are facing new challenges
related to the large amount of data and the increasing burden of communication between …

Integrated memristor network for physiological signal processing

L Cai, L Yu, W Yue, Y Zhu, Z Yang, Y Li… - Advanced Electronic …, 2023 - Wiley Online Library
Humans are complex organisms made by millions of physiological systems. Therefore,
physiological activities can represent physical or mental states of the human body …

Phase change random access memory for neuro‐inspired computing

Q Wang, G Niu, W Ren, R Wang, X Chen… - Advanced Electronic …, 2021 - Wiley Online Library
Neuro‐inspired computing using emerging memristors plays an increasingly significant role
for the realization of artificial intelligence and thus has attracted widespread interest in the …

Toward software-equivalent accuracy on transformer-based deep neural networks with analog memory devices

K Spoon, H Tsai, A Chen, MJ Rasch… - Frontiers in …, 2021 - frontiersin.org
Recent advances in deep learning have been driven by ever-increasing model sizes, with
networks growing to millions or even billions of parameters. Such enormous models call for …

Phase Change Memory: A Review on Electrical Behavior and Use in Analog In‐Memory‐Computing (A‐IMC) Applications

M Boniardi, M Baldo, M Allegra… - Advanced Electronic …, 2024 - Wiley Online Library
Recent development and progress of Artificial Intelligence (AI) algorithms made clear that
this topic is a paradigm shift with respect to the past. High throughput and ability to do …