Results 91 to 100 of about 14,001 (185)

Multi-level, forming and filament free, bulk switching trilayer RRAM for neuromorphic computing at the edge

Nature Communications
CMOS-RRAM integration holds great promise for low energy and high throughput neuromorphic computing. However, most RRAM technologies relying on filamentary switching suffer from variations and noise, leading to computational accuracy loss, increased ...
Jaeseoung Park, Ashwani Kumar, Yucheng Zhou, Sangheon Oh, Jeong-Hoon Kim, Yuhan Shi, Soumil Jain, Gopabandhu Hota, Erbin Qiu, Amelie L. Nagle, Ivan K. Schuller, Catherine D. Schuman, Gert Cauwenberghs, Duygu Kuzum   +13 more
doaj   +1 more source

Ferroelectric Tunnel Junction Memristors for In‐Memory Computing Accelerators

Advanced Intelligent Systems
Neuromorphic computing has seen great interest as leaps in artificial intelligence (AI) applications have exposed limitations due to heavy memory access, with the von Neumann computing architecture.
Robin Athle, Mattias Borg
doaj   +1 more source

Bridging neuromorphic computing and deep learning for next-generation neural data interpretation. [PDF]

Front Comput Neurosci
Zhang M, Wang T, Zhu Z.
europepmc   +1 more source

Analog spike-based neuromorphic computing for low-power smart IoT applications

As the Internet of Things (IoT) expands with more connected devices and complex communications, the demand for precise, energy-efficient localization technologies has intensified. Traditional machine learning and artificial intelligence (AI) techniques provide high accuracy in radio-frequency (RF) localization but often at the cost of greater ...
openaire   +1 more source

Self-Rectifying Memristors for Beyond-CMOS Computing: Mechanisms, Materials, and Integration Prospects. [PDF]

Nanomicro Lett
Zhang G, Fan X, Wang Z, Li P, Zhang Z, Yu B, Gao D, Loke D, Zhong S, Wan Q, Zhang Y.   +10 more
europepmc   +1 more source

Organic Phototransistor Photonic Synapses for Artificial Vision. [PDF]

Nanomicro Lett
Ding F, Xue D, Chi L, Huang L.
europepmc   +1 more source

Multisensory Neuromorphic Devices: From Physics to Integration. [PDF]

Nanomicro Lett
Gui A, Mu H, Yang R, Zhang G, Lin S.
europepmc   +1 more source

Can neuromorphic computing help reduce AI's high energy cost? [PDF]

Proc Natl Acad Sci U S A
Ornes S.
europepmc   +1 more source

Recent advances in spike-based neural coding for tactile perception. [PDF]

Microsyst Nanoeng
Zhu Z, Chen K, Lin W, Yan H, Liang L, Wang G, Song X, Zhang C, Wang Z.   +8 more
europepmc   +1 more source

Neuromorphic Devices: Materials, Structures and Bionic Applications. [PDF]

Nanomaterials (Basel)
Zhu L, Wan Q.
europepmc   +1 more source