The rise of intelligent matter
Artificial intelligence (AI) is accelerating the development of unconventional computing
paradigms inspired by the abilities and energy efficiency of the brain. The human brain …
paradigms inspired by the abilities and energy efficiency of the brain. The human brain …
Photonics for artificial intelligence and neuromorphic computing
Research in photonic computing has flourished due to the proliferation of optoelectronic
components on photonic integration platforms. Photonic integrated circuits have enabled …
components on photonic integration platforms. Photonic integrated circuits have enabled …
2022 roadmap on neuromorphic computing and engineering
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 …
science. In the von Neumann architecture, processing and memory units are implemented …
Memory devices and applications for in-memory computing
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 …
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
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 …
decades. To respond to this demand, research efforts have been devoted to the …
An overview of phase-change memory device physics
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 …
recently been commercialized as storage-class memory in a computer system. PCM is also …
Phase-change memtransistive synapses for mixed-plasticity neural computations
In the mammalian nervous system, various synaptic plasticity rules act, either individually or
synergistically, over wide-ranging timescales to enable learning and memory formation …
synergistically, over wide-ranging timescales to enable learning and memory formation …
Phase-change heterostructure enables ultralow noise and drift for memory operation
Artificial intelligence and other data-intensive applications have escalated the demand for
data storage and processing. New computing devices, such as phase-change random …
data storage and processing. New computing devices, such as phase-change random …
Emerging iontronic neural devices for neuromorphic sensory computing
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 …
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
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 …
recent fundamental developments in artificial intelligence (AI). DL is based on computational …