Results 121 to 130 of about 1,365,527 (250)

Ultra‐Low Power Consumption and Highly Durability in Sm:HfO2 Thin Film Ferroelectric Memristor for Edge Detection

Advanced Electronic Materials, EarlyView.
ABSTRACT With the continuous development of computer image processing, developing efficient and low‐power computing devices has become a key challenge. Memristors have integrated in‐situ storage and computing capabilities, making them an ideal choice for low‐power image processing computing architectures. However, current memristors are confronted with
Tengyu Li, YongRui Wang, Weifeng Zhang, Jikang Xu, Xiaobing Yan   +4 more
wiley   +1 more source

Covariant spatio-temporal receptive fields for spiking neural networks

Nature Communications
Biological nervous systems constitute important sources of inspiration towards computers that are faster, cheaper, and more energy efficient. Neuromorphic disciplines view the brain as a coevolved system, simultaneously optimizing the hardware and the ...
J. E. Pedersen, J. Conradt, T. Lindeberg
doaj   +1 more source

On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification

Advanced Electronic Materials, EarlyView.
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels, Duna Wattad, Ronny Ronen, David Saad, Shahar Kvatinsky   +4 more
wiley   +1 more source

Advancements in neuromorphic computing for bio-inspired artificial vision: A review

Neuromorphic computing is revolutionising artificial vision by emulating the human brain’s remarkable efficiency, adaptability, and spatio-temporal processing.
Sharmarke Gabayre (16995276), Xiyu Shi (1384281), Mindula Illeperuma (18891049), Sergey Saveliev (1250619), Varuna De-Silva (2603902)   +4 more
core   +4 more sources

Neuromorphic Event Alarm Time-Series Suppression [PDF]

The field of neuromorphic vision systems aims to replicate the functionality of biological visual systems by mimicking their physical structure and electrical behaviour.
Harrigan, Shane, Rahman, Shammi, Coleman, Sonya, Lindsay, Leeanne, Quinn, JP; id_orcid, Madden, Kyle; id_orcid, Kerr, Dermot; id_orcid, Henderson, Benn; id_orcid   +7 more
core   +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

Advanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali, David Lehninger, Florencio Sánchez, Ignasi Fina   +3 more
wiley   +1 more source

Recent progress of neuromorphic sensory and optoelectronic systems

International Journal of Extreme Manufacturing
With the rise of artificial intelligence (AI), neuromorphic sensory systems that emulate the five basic human sensations including tactility, audition, olfaction, gustation, and vision have attracted significant attention.
San Nam, Donghyun Kang, Jeong-Wan Jo, Dong-Won Kang, Sung Kyu Park, Yong-Hoon Kim   +5 more
doaj   +1 more source

MoS2 Memristors Made by Liquid–Liquid Interface Assembly and Ultraprecise Metal Printing

Advanced Electronic Materials, EarlyView.
A cleanroom‐free, fully additive fabrication route combines ultraprecise printed silver electrodes with Langmuir–Schaefer‐deposited bilayer MoS2 to realize ultralow‐power resistive switching devices. The resulting microscale memories exhibit low operating voltages, a large memory window, stable retention and endurance, demonstrating a scalable and cost‐
Miguel Franco, Daniel Neves, Dorina T. Papanastasiou, Jonas Deuermeier, Tomás Calmeiro, Tomás Mingates, Adam Kelly, Joseph Neilson, Eugénie Martinez, Zdeněk Sofer, Elvira Fortunato, Rodrigo Martins, Emanuel Carlos, Asal Kiazadeh   +13 more
wiley   +1 more source

Nanoscaffold Ba0.6Sr0.4TiO3:Nd2O3 ferroelectric memristors crossbar array for neuromorphic computing and secure encryption

Journal of Materiomics
Recent advancements in AI have spurred interest in ferroelectric memristors for neuromorphic chips due to their ability to precisely control resistive states through polarization flip-flop without electroforming.
Weifeng Zhang, Jikang Xu, Yongrui Wang, Yinxing Zhang, Yu Wang, Pengfei Li, Yongqing Jia, Zhen Zhao, Changliang Li, Biao Yang, Yue Hou, Zhenqiang Guo, Zeze Huang, Yincheng Qi, Xiaobing Yan   +14 more
doaj   +1 more source

Haptic In‐Sensor Computing Device Based on CNT/PDMS Nanocomposite Physical Reservoir

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Using a porous carbon nanotube‐polydimethylsiloxane nanocomposite, a sensor array integrated with a physical reservoir computing paradigm capable of in‐sensor computing is demonstrated. The device is able to classify between nine objects with an accuracy above 80%, opening the possibility for low‐power sensing/computing for future robotics.
Kouki Kimizuka, Saman Azhari, Shoshi Tokuno, Ahmet Karacali, Yuki Usami, Shuhei Ikemoto, Hakaru Tamukoh, Hirofumi Tanaka   +7 more
wiley   +1 more source