supported by the National Natural Science Foundation of China (Grant Nos. 61925505 and 62405070);"Pioneer" and "Leading Goose" R&D Program of Zhejiang Province (Grant No. 2024C01112);National Key Research and Development Program of China (Grant No. 2023YFB2807100)。
As the demand for computing power in data centers continues to grow, balancing data transmitting speed and energy efficiency has emerged as a critical challenge. Highbandwidth, low-power interconnection schemes are in...
supported by the Hunan Science Fund for Distinguished Young Scholars(2023JJ10069);the National Natural Science Foundation of China(52172169);the Project of State Key Laboratory of Precision Manufacturing for Extreme Service Performance,Central South University(ZZYJKT2024-02).
The traditional von Neumann architecture has demonstrated inefficiencies in parallel computing and adaptive learn-ing,rendering it incapable of meeting the growing demand for efficient and high-speed computing.Neuromo...
supported by National Natural Science Foundation of China(62174164,U23A20568,and U22A2075);National Key Research and Development Project(2021YFA1202600);Talent Plan of Shanghai Branch,Chinese Academy of Sciences(CASSHB-QNPD-2023-022);Ningbo Technology Project(2022A-007-C);Ningbo Key Research and Development Project(2023Z021).
The traditional von Neumann architecture faces inherent limitations due to the separation of memory and computa-tion,leading to high energy consumption,significant latency,and reduced operational efficiency.Neuromorph...
supported by the Natural Science Foundation of Zhejiang Province(Grant No.LQ24F040007);the National Natural Science Foundation of China(Grant No.U22A2075);the Opening Project of State Key Laboratory of Polymer Materials Engineering(Sichuan University)(Grant No.sklpme2024-1-21).
To address the increasing demand for massive data storage and processing,brain-inspired neuromorphic comput-ing systems based on artificial synaptic devices have been actively developed in recent years.Among the vario...
the National Key Research and Development Program of China(2021YFA0717900);National Natural Science Foundation of China(62471251,62405144,62288102,22275098,and 62174089);Basic Research Program of Jiangsu(BK20240033,BK20243057);Jiangsu Funding Program for Excellent Postdoctoral Talent(2022ZB402).
Recently,for developing neuromorphic visual systems,adaptive optoelectronic devices become one of the main research directions and attract extensive focus to achieve optoelectronic transistors with high performances a...
the National Natural Science Foundation of China(62111540271);Natural Science Foundation of Anhui Province(2308085MF207).
The hierarchical and coordinated processing of visual information by the brain demonstrates its superior ability to min-imize energy consumption and maximize signal transmission efficiency.Therefore,it is crucial to d...
supported by the National Key R&D Program of China(2021YFB3601000,2021YFB3601004);the National Key R&D Program of China(2022YFB3604702);the Chinese Academy of Sciences.
In recent years,research focusing on synaptic device based on phototransistors has provided a new method for asso-ciative learning and neuromorphic computing.A TiO_(2)/AlGaN/GaN heterostructure-based synaptic phototra...
supported by the Key Project of Chongqing Natural Science Foundation Joint Fund[CSTB2023NSCQ-LZX0103,(G.Z.)];Chongqing Natural Science Foundation[CSTB2024NSCQ-MSX0012,(C.L.)];Fundamental Research Funds for the Central Universities[SWUZLPY03,(G.Z.)];Fundamental Research Funds for the Central Universities[Swu020019,(G.Z.):SWU-XDJH202319,(G.Z.)1].
With the advancement of artificial intelligence,optic in-sensing reservoir computing based on emerging semiconductor devices is high desirable for real-time analog signal processing.Here,we disclose a flexible optomem...
supported by the National Natural Science Foundation of China(Nos.U20A20209 and 62304228);the China National Postdoctoral Program for Innovative Talents(No.BX2021326);the China Postdoctoral Science Foundation(No.2021M703310);the Zhejiang Provincial Natural Science Foundation of China(No.LQ22F040003);the Ningbo Natural Science Foundation of China(No.2023J356);the State Key Laboratory for Environment-Friendly Energy Materials(No.20kfhg09).
With the rapid development of artificial intelligence(AI)technology,the demand for high-performance and energyefficient computing is increasingly growing.The limitations of the traditional von Neumann computing archit...
In 1980,scientist Klaus von Klitzing discovered the quantum Hall effect[1],a groundbreaking achievement that earned him the Nobel Prize in Physics in 1985.This discovery was a significant milestone in condensed matter...