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RET Site: Research Experiences for Teachers in Biologically-inspired Computing Systems

RET Site: Research Experiences for Teachers in Biologically-inspired Computing Systems
RET 网站:教师在仿生计算系统方面的研究经验
批准号:
1953544
负责人:
Na Gong
金额:
$59.26万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-03-01 至 2024-09-30

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英文摘要
This funding establishes a new Research Experiences for Teachers (RET) Site at the University of South Alabama. In-service middle school and high school teachers from Mobile and Baldwin County Public Schools will spend six weeks each summer engaged with research activities focused on biologically-inspired computing. The RET teachers will be guided by an interdisciplinary group of faculty from the University of South Alabama as well as industry partners on discovery-based research projects in the area of neuromorphic systems, biologically-inspired systems to support machine learning applications. The RET teachers will design standards-compliant curriculum modules which they will implement in their classrooms during the academic year and conduct workshops for other teachers. The teachers will also participate in many professional development activities during the summer research activity and the academic year. This project should develop a lasting relationship between the university, the K-12 schools, and the surrounding community that can help to build a strong educational foundation in the schools supported by the university and the other partners.The RET site is anchored by a compelling computing and engineering research area, neuromorphic systems. The research projects span applications, architecture, circuits, and devices that enable future computing systems. The projects build on the expertise and on-going research of the faculty mentors. The technical areas to be investigated include novel imagery collection techniques and image processing algorithms for cancer detection, spiking neural network algorithms for imagery data, new power-efficient memory architecture and circuits to support the algorithms that are developed, and new memristor device-based neuromorphic system design for better prediction and accuracy. The research will provide teachers around for developing creative course modules in mathematics, physics, biology, chemistry, engineering, and technology that align well with state and national curriculum standards.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(12)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1109/jetcas.2023.3235658
发表时间: 2023-03
期刊: IEEE Journal on Emerging and Selected Topics in Circuits and Systems
影响因子: 4.6
作者: [Saleh Ahmad Khan;Md. Oli-Uz-Zaman;Jinhui Wang]
通讯作者: Saleh Ahmad Khan;Md. Oli-Uz-Zaman;Jinhui Wang
A mixed-method cluster analysis of physical computing and robotics integration in middle-grade math lesson plans
中学数学课程计划中物理计算和机器人集成的混合方法聚类分析
DOI: 10.1016/s0360-1315(22)00206-8
发表时间: 2022
期刊: Computers & Education
影响因子: 12
作者: [Zha, S., Jin, Y., Wheeler, R., Bosarge, E.]
通讯作者: Bosarge, E.
Reconfigurable Mapping Algorithm based Stuck-At-Fault Mitigation in Neuromorphic Computing Systems
神经形态计算系统中基于可重构映射算法的卡故障缓解
DOI: 10.1145/3583781.3590208
发表时间: 2023
期刊: GLSVLSI '23: Proceedings of the Great Lakes Symposium on VLSI 2023
影响因子: --
作者: [Oli-Uz-Zaman, Md., Khan, Saleh Ahmad, Oswald, William, Liao, Zhiheng, Wang, Jinhui]
通讯作者: Wang, Jinhui
DOI: 10.1109/iscas48785.2022.9937260
发表时间: 2022-05
期刊: 2022 IEEE International Symposium on Circuits and Systems (ISCAS)
影响因子: --
作者: [Md. Oli-Uz-Zaman;Saleh Ahmad Khan;Geng Yuan;Yanzhi Wang;Zhiheng Liao;Jingyan Fu;Caiwen Ding;Jinhui Wang]
通讯作者: Md. Oli-Uz-Zaman;Saleh Ahmad Khan;Geng Yuan;Yanzhi Wang;Zhiheng Liao;Jingyan Fu;Caiwen Ding;Jinhui Wang
12
    Collaborative Research: CNS Core: Small: Privacy by Memory Design
    • 批准号:
      2211215
    • 项目类别:
      Standard Grant
    • 资助金额:
      $30.0万
    • 财政年份:
      2022
    • 负责人:
      Na Gong
    • 依托单位:
    RII Track 2 FEC: Building Research Infrastructure and Workforce in Edge Artificial Intelligence
    • 批准号:
      2218046
    • 项目类别:
      Cooperative Agreement
    • 资助金额:
      $600.0万
    • 财政年份:
      2022
    • 负责人:
      Na Gong
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    IRES Track I:Collaborative Research:Application-Specific Asynchronous Deep Learning IC Design for Ultra-Low Power
    • 批准号:
      1951488
    • 项目类别:
      Standard Grant
    • 资助金额:
      $10.0万
    • 财政年份:
      2020
    • 负责人:
      Na Gong
    • 依托单位:
    SHF: Small: Turning Visual Noise into Hardware Efficiency: Viewer-Aware Energy-Quality Adaptive Mobile Video Storage
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    • 批准号:
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    • 项目类别:
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    • 资助金额:
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    • 批准年份:
      2021
    • 负责人:
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    基于重要农地保护LESA(Land Evaluation and Site Assessment)体系思想的高标准基本农田建设研究
    • 批准号:
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    • 项目类别:
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    • 批准年份:
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