The rise of intelligent matter

C Kaspar, BJ Ravoo, WG van der Wiel, SV Wegner… - Nature, 2021 - nature.com
Artificial intelligence (AI) is accelerating the development of unconventional computing
paradigms inspired by the abilities and energy efficiency of the brain. The human brain …

Photonics for artificial intelligence and neuromorphic computing

BJ Shastri, AN Tait, T Ferreira de Lima, WHP Pernice… - Nature …, 2021 - nature.com
Research in photonic computing has flourished due to the proliferation of optoelectronic
components on photonic integration platforms. Photonic integrated circuits have enabled …

2022 roadmap on neuromorphic computing and engineering

DV Christensen, R Dittmann… - Neuromorphic …, 2022 - iopscience.iop.org
Modern computation based on von Neumann architecture is now a mature cutting-edge
science. In the von Neumann architecture, processing and memory units are implemented …

Memory devices and applications for in-memory computing

A Sebastian, M Le Gallo, R Khaddam-Aljameh… - Nature …, 2020 - nature.com
Traditional von Neumann computing systems involve separate processing and memory
units. However, data movement is costly in terms of time and energy and this problem is …

Designing crystallization in phase-change materials for universal memory and neuro-inspired computing

W Zhang, R Mazzarello, M Wuttig, E Ma - Nature Reviews Materials, 2019 - nature.com
The global demand for data storage and processing has increased exponentially in recent
decades. To respond to this demand, research efforts have been devoted to the …

An overview of phase-change memory device physics

M Le Gallo, A Sebastian - Journal of Physics D: Applied Physics, 2020 - iopscience.iop.org
Phase-change memory (PCM) is an emerging non-volatile memory technology that has
recently been commercialized as storage-class memory in a computer system. PCM is also …

Phase-change memtransistive synapses for mixed-plasticity neural computations

SG Sarwat, B Kersting, T Moraitis… - Nature …, 2022 - nature.com
In the mammalian nervous system, various synaptic plasticity rules act, either individually or
synergistically, over wide-ranging timescales to enable learning and memory formation …

Phase-change heterostructure enables ultralow noise and drift for memory operation

K Ding, J Wang, Y Zhou, H Tian, L Lu, R Mazzarello… - Science, 2019 - science.org
Artificial intelligence and other data-intensive applications have escalated the demand for
data storage and processing. New computing devices, such as phase-change random …

Emerging iontronic neural devices for neuromorphic sensory computing

S Dai, X Liu, Y Liu, Y Xu, J Zhang, Y Wu… - Advanced …, 2023 - Wiley Online Library
Living organisms have a very mysterious and powerful sensory computing system based on
ion activity. Interestingly, studies on iontronic devices in the past few years have proposed a …

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 …