Cargando…

Quantum Topological Neuristors for Advanced Neuromorphic Intelligent Systems

Neuromorphic artificial intelligence systems are the future of ultrahigh performance computing clusters to overcome complex scientific and economical challenges. Despite their importance, the advancement in quantum neuromorphic systems is slow without specific device design. To elucidate biomimickin...

Descripción completa

Detalles Bibliográficos
Autores principales:	Assi, Dani S., Huang, Hongli, Karthikeyan, Vaithinathan, Theja, Vaskuri C. S., de Souza, Maria Merlyne, Xi, Ning, Li, Wen Jung, Roy, Vellaisamy A. L.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley and Sons Inc. 2023
Materias:	Research Articles
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10460853/ https://www.ncbi.nlm.nih.gov/pubmed/37340871 http://dx.doi.org/10.1002/advs.202300791

Ejemplares similares

Probing the Effect of MWCNT Nanoinclusions on the Thermoelectric Performance of Cu(3)SbS(4) Composites
por: Theja, Vaskuri C. S., et al.
Publicado: (2022)

Three dimensional architected thermoelectric devices with high toughness and power conversion efficiency
por: Karthikeyan, Vaithinathan, et al.
Publicado: (2023)

A caloritronics-based Mott neuristor
por: del Valle, Javier, et al.
Publicado: (2020)

A VO(2) Neuristor Based on Microstrip Line Coupling
por: Lin, Haidan, et al.
Publicado: (2023)

Optogenetics inspired transition metal dichalcogenide neuristors for in-memory deep recurrent neural networks
por: John, Rohit Abraham, et al.
Publicado: (2020)

Embodied neuromorphic intelligence
por: Bartolozzi, Chiara, et al.
Publicado: (2022)

Topological Properties of Neuromorphic Nanowire Networks
por: Loeffler, Alon, et al.
Publicado: (2020)

Neuromorphic artificial intelligence systems
por: Ivanov, Dmitry, et al.
Publicado: (2022)

Reliability of neuronal information conveyed by unreliable neuristor-based leaky integrate-and-fire neurons: a model study
por: Lim, Hyungkwang, et al.
Publicado: (2015)

Author Correction: Embodied neuromorphic intelligence
por: Bartolozzi, Chiara, et al.
Publicado: (2022)

Memristors for Neuromorphic Circuits and Artificial Intelligence Applications
por: Miranda, Enrique, et al.
Publicado: (2020)

Synaptic weighting in single flux quantum neuromorphic computing
por: Schneider, M. L., et al.
Publicado: (2020)

Data and Power Efficient Intelligence with Neuromorphic Learning Machines
por: Neftci, Emre O.
Publicado: (2018)

Neuromorphic computing and beyond: parallel, approximation, near memory, and quantum
por: Mohamed, Khaled Salah
Publicado: (2020)

Variational learning of quantum ground states on spiking neuromorphic hardware
por: Klassert, Robert, et al.
Publicado: (2022)

Is Neuromorphic MNIST Neuromorphic? Analyzing the Discriminative Power of Neuromorphic Datasets in the Time Domain
por: Iyer, Laxmi R., et al.
Publicado: (2021)

Lead federated neuromorphic learning for wireless edge artificial intelligence
por: Yang, Helin, et al.
Publicado: (2022)

Research Progress on the Application of Topological Phase Transition Materials in the Field of Memristor and Neuromorphic Computing
por: Zhang, Runqing, et al.
Publicado: (2023)

Toward Learning in Neuromorphic Circuits Based on Quantum Phase Slip Junctions
por: Cheng, Ran, et al.
Publicado: (2021)

Quantum imaging of the reconfigurable VO(2) synaptic electronics for neuromorphic computing
por: Feng, Ce, et al.
Publicado: (2023)

Highly Sensitive and Cost-Effective Portable Sensor for Early Gastric Carcinoma Diagnosis
por: Oo, Saw-Lin, et al.
Publicado: (2021)

Advances in neuromorphic hardware exploiting emerging nanoscale devices
por: Suri, Manan
Publicado: (2017)

Breaking Liebig’s Law: An Advanced Multipurpose Neuromorphic Engine
por: Wang, Runchun, et al.
Publicado: (2018)

Neuromorphic Olfaction
por: Persaud, Krishna, et al.
Publicado: (2016)

Neuromorphic photonics
por: Prucnal, Paul R, et al.
Publicado: (2017)

Quantum topology
por: Baadhio, R A, et al.
Publicado: (1993)

Hybrid oxide brain-inspired neuromorphic devices for hardware implementation of artificial intelligence
por: Wang, Jingrui, et al.
Publicado: (2021)

Author Correction: Lead federated neuromorphic learning for wireless edge artificial intelligence
por: Yang, Helin, et al.
Publicado: (2022)

Internal quantum efficiency of silicon photodetectors at ultraviolet wavelengths
por: Korpusenko, Mikhail, et al.
Publicado: (2023)

Recent Advances on Neuromorphic Systems Using Phase-Change Materials
por: Wang, Lei, et al.
Publicado: (2017)

Recent Advances in Cerium Oxide-Based Memristors for Neuromorphic Computing
por: Ali, Sarfraz, et al.
Publicado: (2023)

Polyethylene Glycol Coated Magnetic Nanoparticles: Hybrid Nanofluid Formulation, Properties and Drug Delivery Prospects
por: Mannu, Rashmi, et al.
Publicado: (2021)

Frontiers in Neuromorphic Engineering
por: Indiveri, Giacomo, et al.
Publicado: (2011)

Conference on Quantum Topology
Publicado: (1993)

Facile Use of Silver Nanoparticles-Loaded Alumina/Silica in Nanofluid Formulations for Enhanced Catalytic Performance toward 4-Nitrophenol Reduction
por: Mannu, Rashmi, et al.
Publicado: (2021)

NATO Advanced Research Workshop on Quantum Field Theory, Statistical Mechanics, Quantum Groups and Topology
por: Curtright, Thomas L, et al.
Publicado: (1992)

Research topic: neuromorphic engineering systems and applications. A snapshot of neuromorphic systems engineering
por: Delbruck, Tobi, et al.
Publicado: (2014)

Neuromorphic-P(2)M: processing-in-pixel-in-memory paradigm for neuromorphic image sensors
por: Kaiser, Md Abdullah-Al, et al.
Publicado: (2023)

Introduction to topological quantum matter & quantum computation
por: Stanescu, Tudor D
Publicado: (2017)

Quantum geometry and topological quantum field theory
por: Rapoport, D L
Publicado: (1995)

Cannot write session to /tmp/vufind_sessions/sess_62q4m1netocqu2v0ahhqbh1ek9