Results 61 to 70 of about 13,642,405 (235)

Low-power neuromorphic sensor fusion for elderly care [PDF]

, 2022
Smart wearable systems have become a necessary part of our daily life with applications ranging from entertainment to healthcare. In the wearable healthcare domain, the development of wearable fall recognition bracelets based on embedded systems is ...
Yu, Zheqi
core   +1 more source

Memristive‐Gated RC‐Delay Synaptic Transistors for Time‐Encoded Analog in‐Memory Computing

Advanced Functional Materials, EarlyView.
A Memristive‐Gated Transistor for Time‐Encoded Analog In‐Memory Computing — By exploiting the RC delay of a self‐rectifying interface‐type memristor, nonlinear I–V distortion is structurally bypassed, enabling 3‐bit nonvolatile memory, spike‐timing‐based analog encoding, and hardware‐calibrated reservoir‐computing validation within a unified device ...
Yun‐Seo Shin, Eunjoo Yoo, Ki‐Hoon Son, Hyun‐Sik Kim, Dae‐Hee Han, Jeong Hyeon Son, Seung Hwan Lee, Hong‐Sub Lee   +7 more
wiley   +1 more source

LiNbO3-based memristors for neuromorphic computing applications: a review

Frontiers in Electronic Materials
Neuromorphic computing is a promising paradigm for developing energy-efficient and high-performance artificial intelligence systems. The unique properties of lithium niobate-based (LiNbO3)-based memristors, such as low power consumption, non-volatility ...
Caxton Griffith Kibebe, Yue Liu
doaj   +1 more source

An FPGA-based neuromorphic vision system accelerator [PDF]

Rapid reaction to a specific event is a critical feature for an embedded computer vision system to ensure reliable and secure interaction with the environment in resource-limited real-time applications.
Bhowmick, Deepayan, Ali, Teymoor, Lau, Sook Yen, Rainey, James, Appiah, Kofi, Maier, Patrick, Gheorghiu, Elena   +6 more
core   +1 more source

Discovery of Energy‐Localized Trap States via Opto‐Electrical Spectroscopy in UWBG Perovskite La:SrSnO3 FETs

Advanced Functional Materials, EarlyView.
Combined UV–vis transmittance and wavelength‐dependent photo‐assisted DC I–V analyses reveal defect‐induced optical instability and a high density of deep donor‐like subgap traps in La‐doped SrSnO3. The resulting MOSFET achieves one of the highest on/off ratios reported for ABO3 perovskite devices, demonstrating the promise of stannate perovskites as ...
Sojin Jung, Junghyun Koo, Hongseung Lee, Donghwan Kim, Dongho Won, Weideng Sun, Jaewook Yoo, Minah Park, Seohyeon Park, Seongbin Lim, Joonsung Lee, Sungjune Park, Sangmoon Yoon, Tae Wan Kim, Bharat Jalan, Gang Qiu, Kiyoung Lee, Hagyoul Bae   +17 more
wiley   +1 more source

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

Multifunctional Organic Materials, Devices, and Mechanisms for Neuroscience, Neuromorphic Computing, and Bioelectronics

Nano-Micro Letters
Highlights The review emphasizes the switching mechanisms of organic neuromorphic materials. In addition to these switching mechanisms, the capabilities of organic neuromorphic materials in tunable, conformable, and low-power applications, e.g ...
Felix L. Hoch, Qishen Wang, Kian-Guan Lim, Desmond K. Loke   +3 more
doaj   +1 more source

Reservoir‐Driven Neuromorphic Computing Based on Composite Rare‐Earth/Transition Metal Oxide Memristor

Advanced Functional Materials, EarlyView.
A defect‐engineered Ag/Gd2O3:Nb2O5/Pt rare earth composite oxide memristor enables stable multilevel reservoir states through pulse driven conductance modulation. Experimentally measured device responses are incorporated into a device aware reservoir computing framework for CIFAR‐100 image classification, highlighting the potential of rare earth ...
Hammad Ghazanfar, Haider Abbas, Muhammad Rabeel, Honggyun Kim, Ghulam Dastgeer, Muhammad Nasim, Furqan Zahoor, Yawar Abbas, Waqas Ahmad, Deok‐kee Kim   +9 more
wiley   +1 more source

Neuromorphic Computing with Memcapacitors: Advancements, Challenges, and Future Directions

Advanced Electronic Materials
Modern applications demand immense data processing and computational power, yet conventional architectures, constrained by the Von Neumann bottleneck and data presentation, struggle to meet these requirements.
Nada AbuHamra, Muhammad Umair Khan, Eman Hassan, Mahmoud Al Qutayri, Baker Mohammad   +4 more
doaj   +1 more source

Generative Data for Neuromorphic Computing [PDF]

Neuromorphic computing is a next-generation model of computation that leverages biologically-inspired artificial neurons to perform complex tasks. Unlike neurons found within traditional Artificial Neural Networks (ANNs), which output on a continuous ...
Bihl, Trevor, Baietto, Anthony
core   +1 more source