Results 11 to 20 of about 6,811 (257)

Neuromorphic Devices for Bionic Sensing and Perception [PDF]

open access: yesFrontiers in Neuroscience, 2021
Neuromorphic devices that can emulate the bionic sensory and perceptual functions of neural systems have great applications in personal healthcare monitoring, neuro-prosthetics, and human–machine interfaces.
Mingyue Zeng   +3 more
doaj   +7 more sources

Emerging Materials for Neuromorphic Devices and Systems [PDF]

open access: yesiScience, 2020
Neuromorphic devices and systems have attracted attention as next-generation computing due to their high efficiency in processing complex data. So far, they have been demonstrated using both machine-learning software and complementary metal-oxide ...
Min-Kyu Kim   +3 more
doaj   +6 more sources

Recent Progress on Emerging Transistor‐Based Neuromorphic Devices

open access: yesAdvanced Intelligent Systems, 2021
Human brain outperforms the current von Neumann digital computer in many aspects, such as energy efficiency and fault‐tolerance. Inspired by human brain, neuromorphic computation has attracted increasing research interest.
Yongli He   +7 more
doaj   +2 more sources

Biological function simulation in neuromorphic devices: from synapse and neuron to behavior [PDF]

open access: yesScience and Technology of Advanced Materials, 2023
As the boom of data storage and processing, brain-inspired computing provides an effective approach to solve the current problem. Various emerging materials and devices have been reported to promote the development of neuromorphic computing.
Hui Chen   +4 more
doaj   +2 more sources

Recent Progress of Optoelectronic and All‐Optical Neuromorphic Devices: A Comprehensive Review of Device Structures, Materials, and Applications

open access: yesAdvanced Intelligent Systems, 2021
Conventional von Neumann–based computing systems have inherent limitations such as high hardware complexity, relatively inferior energy efficiency, and low bandwidth.
Seungho Song   +5 more
doaj   +2 more sources

Bio‐Plausible Multimodal Learning with Emerging Neuromorphic Devices [PDF]

open access: yesAdvanced Science
Multimodal machine learning, as a prospective advancement in artificial intelligence, endeavors to emulate the brain's multimodal learning abilities with the objective to enhance interactions with humans.
Haonan Sun   +7 more
doaj   +2 more sources

Neuromorphic device based on silicon nanosheets

open access: yesNature Communications, 2022
Silicon is an abundant element on earth and is perfectly compatible with the well-established CMOS processing industry. Here, Sun et al. demonstrate multifunctional neuromorphic devices based on silicon nanosheet stacks, bringing silicon back as a ...
Chenhao Wang   +12 more
doaj   +3 more sources

Memory Devices for Flexible and Neuromorphic Device Applications [PDF]

open access: yesAdvanced Intelligent Systems, 2021
Recently, consumer electronics have moved toward data‐centric applications due to the development of smart electronic devices. Moreover, electronic devices have become highly portable, wearable, and lightweight. These devices require flexible data storage with high density.
Dongshin Kim 0006   +2 more
openaire   +3 more sources

Preparation and transport property of nano-Li4Ti5O12 anode materials

open access: yesCailiao gongcheng, 2021
Li4Ti5O12 (LTO) anode materials are successfully prepared by sol-gel method using butyl phthalate and lithium acetate as precursors.The phase and morphology of the material were characterized by X-ray diffraction,scanning electron microscopy and ...
LIAN Tian-rou   +6 more
doaj   +1 more source

Superlow Power Consumption Artificial Synapses Based on WSe2 Quantum Dots Memristor for Neuromorphic Computing

open access: yesResearch, 2022
As the emerging member of zero-dimension transition metal dichalcogenide, WSe2 quantum dots (QDs) have been applied to memristors and exhibited better resistance switching characteristics and miniaturization size.
Zhongrong Wang   +15 more
doaj   +1 more source

Home - About - Disclaimer - Privacy