Results 51 to 60 of about 1,614,108 (280)

The more the merrier: running multiple neuromorphic components on-chip for robotic control

Neuromorphic Computing and Engineering
It has long been realized that neuromorphic hardware offers benefits for the domain of robotics such as low energy, low latency, as well as unique methods of learning.
Evan Eames, Priyadarshini Kannan, Ronan Sangouard, Philipp Plank, Elvin Hajizada, Gintautas Palinauskas, Lana Amaya, Michael Neumeier, Sai Thejeshwar Sharma, Marcella Toth, Prottush Sarkar, Axel von Arnim   +11 more
doaj   +1 more source

Integration of Low‐Voltage Nanoscale MoS2 Memristors on CMOS Microchips

Advanced Functional Materials, EarlyView.
This article presents the first monolithic integration of nanoscale MoS2‐based memristors into the back‐end‐of‐line of foundry‐fabricated CMOS microchips in a one‐transistor‐one‐resistor (1T1R) architecture. The MoS2‐based 1T1R cells exhibit forming‐free, nonvolatile resistive switching with ultra‐low operating voltages, low cycle‐to‐cycle variability ...
Jimin Lee, Sofía Cruces, Xiaohua Liu, Yang Chen, Vasilis A. Maroufidis, Janghyun Jo, Lukas Völkel, Dennis Braun, Michael Möller, Leon Brackmann, Holger Kalisch, Michael Heuken, Andrei Vescan, Rafal E. Dunin‐Borkowski, Joachim Mayer, Stefan Wiefels, Max C. Lemme   +16 more
wiley   +1 more source

A versatile neuromorphic system based on simple neuron model

AIP Advances, 2019
Brain-inspired neuromorphic computing has attracted much attention for its advanced computing concept. However, the massive hardware cost in fully-connected architectures makes it challenging to build a large-scale neuromorphic system.
C. M. Zhang, G. C. Qiao, S. G. Hu, J. J. Wang, Z. W. Liu, Y. A. Liu, Q. Yu, Y. Liu   +7 more
doaj   +1 more source

Recent advances in neuromorphic transistors for artificial perception applications

Science and Technology of Advanced Materials, 2023
Conventional von Neumann architecture is insufficient in establishing artificial intelligence (AI) in terms of energy efficiency, computing in memory and dynamic learning.
Wei Sheng Wang, Li Qiang Zhu
doaj   +1 more source

Photonic-Enabled Energy-Efficient Transparent Neuromorphic Computing Devices: A Review. [PDF]

Adv Sci (Weinh)
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Ghosh S, Lee KB, Lee J, Cho S, Patel M, Li H, Wen Y, Zhou Y, Kim J.   +8 more
europepmc   +2 more sources

Closed-loop sound source localization in neuromorphic systems

, 2023
Sound source localization (SSL) is used in various applications such as industrial noise-control, speech detection in mobile phones, speech enhancement in hearing aids and many more. Newest video conferencing setups use SSL.
Schoepe, Thorben, Gutiérrez Galán, Daniel, Greatorex, Hugh, Jiménez Fernández, Ángel Francisco, Linares Barranco, Alejandro, Chicca, Elisabetta, Domínguez Morales, Juan Pedro   +6 more
core   +1 more source

Energy Efficient Neuromorphic Computing with beyond-CMOS Oscillatory Neural Networks

, 2021
International audienceOscillatory Neural Networks (ONNs) are non-von Neumann architectures where information is encoded in phase relations between coupled oscillators. In this work, we present the concept of ONN based on beyond-CMOS devices to reduce the
Delacour, Corentin, Carapezzi, Stefania, Boschetto, Gabriele, Todri-Sanial, Aida   +3 more
core   +3 more sources

Optoelectronic Synaptic Devices Using Molecular Telluride Phase‐Change Inks for Three‐Factor Learning

Advanced Functional Materials, EarlyView.
Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner, Dhananjeya Kumaar, Giacomo Torti, Killian Keller, Till Zellweger, Florian M. Schenk, Christoph Weilenmann, Daniel Chelladurai, Vara Prasad Jonnalagadda, Ghazi Sarwat Syed, Vanessa Wood, Jürg Leuthold, Alexandros Emboras, Maksym Yarema, Mathieu Luisier   +14 more
wiley   +1 more source

Emergent auditory feature tuning in a real-time neuromorphic VLSI system [PDF]

, 2012
Many sounds of ecological importance, such as communication calls, are characterized by time-varying spectra. However, most neuromorphic auditory models to date have focused on distinguishing mainly static patterns, under the assumption that dynamic ...
Martin eCoath, Giacomo eIndiveri, Elisabetta eChicca, Sadique Sheik, Martin Coath, Wennekers, Thomas, Chicca, E, Susan L Denham, Thomas eWennekers, Elisabetta Chicca, Chicca, Elisabetta ; https://orcid.org/, Coath, Martin, Indiveri, G, Indiveri, Giacomo; id_orcid, Denham, Susan L., Coath, M, Chicca, Elisabetta, Sheik, S, Sadique eSheik, Denham, S L, Sheik, Sadique, Wennekers, T, Giacomo Indiveri, Susan L. Denham, Indiveri, Giacomo, Thomas Wennekers   +25 more
core   +1 more source

Fully Additive Vertical Organic Electrochemical Transistors on Renewable and Compostable Substrates Enable Ultrasensitive Bioelectronics

Advanced Functional Materials, EarlyView.
Fully additive vertical organic electrochemical transistors (vOECTs) with channel‐length of 226 nm on a 50 µm compostable substrate achieve >106 current modulation and ∼36 mS transconductance. Ion‐selective integration enables 1.1 mA dec−1 sensitivity and 36 µm detection limit, highlighting a scalable platform for sustainable electronics and ...
Giulia Frusconi, Samuele Lavelli, Zsolt M. Kovács‐Vajna, Fabrizio Torricelli   +3 more
wiley   +1 more source