Recently, neuromorphic devices have attracted great attention in the field of artificial intelligence technology at the hardware level. In particular regarding the developments of flexible electronics, there is an increasing interest in brain-inspired multi-functional perception learning system. In the present work, flexible cognitive memristors based on poly(vinyl alcohol)-graphene oxide (PVA-GO) hybrid nanocomposite are proposed. These devices exhibit excellent electrical performance at ultralow voltage below 0.5 V with high stability against mechanical stress. The threshold voltage of resistance switching is as low as approximate to 0.2 V. Good endurance and stability are observed. Most importantly, the PVA-GO-hybrid-based memristor demo...
Abstract Artificial intelligence is a promising concept in modern and future societies. Presently, s...
Memristive nanoscale devices can generate intense fields by the application of relatively low voltag...
Energy efficiency, parallel information processing, and unsupervised learning make the human brain a...
Brain-inspired neuromorphic computing which consist neurons and synapses, with an ability to perform...
A new class of electronic device has emerged which bear the potential for low powered brain like ada...
Abstract Artificial Intelligence (AI) at the edge has become a hot subject of the recent technology-...
The state-of-the-art artificial intelligence technologies mainly rely on deep learning algorithms ba...
International audienceNeuromorphic computing has gained important attention since it is an efficient...
Polymer based memristive devices can offer simplicity in fabrication and at the same time promise fu...
Organic and perovskite memristors have superior characteristics both in material and structural pers...
With the ever-increasing demand for low power electronics, neuromorphic computing has garnered huge ...
The brain is capable of massively parallel information processing while consuming only similar to 1-...
With the advent of artificial intelligence (AI), memristors have received significant interest as a ...
Nanoionic memrisitve devices are one of the most promising building blocks for next generation hardw...
Synaptic devices with bipolar analog resistive switching behavior are the building blocks for memris...
Abstract Artificial intelligence is a promising concept in modern and future societies. Presently, s...
Memristive nanoscale devices can generate intense fields by the application of relatively low voltag...
Energy efficiency, parallel information processing, and unsupervised learning make the human brain a...
Brain-inspired neuromorphic computing which consist neurons and synapses, with an ability to perform...
A new class of electronic device has emerged which bear the potential for low powered brain like ada...
Abstract Artificial Intelligence (AI) at the edge has become a hot subject of the recent technology-...
The state-of-the-art artificial intelligence technologies mainly rely on deep learning algorithms ba...
International audienceNeuromorphic computing has gained important attention since it is an efficient...
Polymer based memristive devices can offer simplicity in fabrication and at the same time promise fu...
Organic and perovskite memristors have superior characteristics both in material and structural pers...
With the ever-increasing demand for low power electronics, neuromorphic computing has garnered huge ...
The brain is capable of massively parallel information processing while consuming only similar to 1-...
With the advent of artificial intelligence (AI), memristors have received significant interest as a ...
Nanoionic memrisitve devices are one of the most promising building blocks for next generation hardw...
Synaptic devices with bipolar analog resistive switching behavior are the building blocks for memris...
Abstract Artificial intelligence is a promising concept in modern and future societies. Presently, s...
Memristive nanoscale devices can generate intense fields by the application of relatively low voltag...
Energy efficiency, parallel information processing, and unsupervised learning make the human brain a...