Results 121 to 130 of about 10,442 (302)

Editorial: Powering the next-generation IoT applications: new tools and emerging technologies for the development of Neuromorphic System of Systems. [PDF]

Front Neurosci, 2023
Urgese G, Rios-Navarro A, Linares-Barranco A, Stewart TC, Michmizos K.   +4 more
europepmc   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

An adaptive silicon synapse

, 2003
Chicca E, Indiveri G, Douglas R. An adaptive silicon synapse. Presented at the Proceedings of the 2003 International Symposium on Circuits and Systems (ISCAS).We present an analog circuit for implementing models of synapses with short-term adaptation ...
Douglas, R., Indiveri, G., Chicca, Elisabetta ; https://orcid.org/   +2 more
core   +1 more source

The BrainScaleS-2 Accelerated Neuromorphic System With Hybrid Plasticity. [PDF]

Front Neurosci, 2022
Pehle C, Billaudelle S, Cramer B, Kaiser J, Schreiber K, Stradmann Y, Weis J, Leibfried A, Müller E, Schemmel J.   +9 more
europepmc   +1 more source

Path‐Decoupled Cation‐Eutaxy III–V van der Waals Memristive Semiconductors for Mitigating the Neuromorphic Accuracy‐Energy Trade‐off

Advanced Materials, EarlyView.
Path‐decoupled III–V van der Waals memtransistors spatially separate ionic and electronic transport to overcome the conventional trade‐off between accuracy and energy in neuromorphic hardware. Mobile K+ ions in the vdW gaps set a wide conductance window, Gmax/Gmin, while gate‐tunable hole conduction lowers programming energy, enabling reliable ...
Jihong Bae, Ji Hoon Han, Taeyoung Kim, Jongbum Won, Seokmin Park, Gyu Won Kim, Sungsoon Kim, Hong Choi, Taehoon Kim, Hong‐Sub Lee, Jae‐Hyun Lee, Young Jin Choi, Jinwoo Cheon, Wooyoung Shim   +13 more
wiley   +1 more source

EBBIOT : a low-complexity tracking algorithm for surveillance in IoVT using stationary neuromorphic vision sensors

, 2019
In this paper, we present EBBIOT–a novel paradigm for object tracking using stationary neuromorphic vision sensors in low-power sensor nodes for the Internet of Video Things (IoVT).
Basu, Arindam, Bharath Ramesh, Rishi Raj Singh Sidhu, Garrick Orchard, Arindam Basu, Orchard, Garrick, Acharya, Jyotibdha, Ramesh, Bharath (R20212), Vandana Reddy Padala, Padala, Vandana R., Caycedo, Andres U., Sidhu, Rishi R., Jyotibdha Acharya, Andres Ussa Caycedo   +13 more
core   +1 more source

Resistive Switching and Synaptic Characteristics in ZnO/TaON-Based RRAM for Neuromorphic System. [PDF]

Nanomaterials (Basel), 2022
Oh I, Pyo J, Kim S.
europepmc   +1 more source

Resonant Domain Wall Dynamics in a Three‐Dimensional Magnetic Nano Double Helix

Advanced Materials, EarlyView.
3D magnetic nanostructures promise exciting possibilities for magnetization dynamics. However, experimental realizations remain scarce. In nanoprinted cobalt double helices, time‐resolved X‐ray microscopy reveals harmonic domain wall dynamics. Simulations identify the mode and additional higher‐frequency resonances, revealing a rich dynamic landscape ...
Pamela Morales‐Fernández, Iason Konstantinos‐Douveas, Claas Abert, Elina Zhakina, Sandra Ruiz‐Gómez, Claudia Fernández‐González, Luke Alexander Turnbull, Sebastian Wintz, Markus König, Simone Finizio, Markus Weigand, Naëmi Leo, Dieter Suess, Aurelio Hierro‐Rodríguez, Amalio Fernández‐Pacheco, Claire Donnelly   +15 more
wiley   +1 more source

Multi-level Cells and Quantized Conductance Characteristics of Al₂O₃-Based RRAM Device for Neuromorphic System. [PDF]

Nanoscale Res Lett, 2022
Lee Y, Park J, Chung D, Lee K, Kim S.
europepmc   +1 more source

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source