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: University of South Alabama
• 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
• 起止时间: 2020-03-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1953544&HistoricalAwards=false
• 关键词: RET; Site; Research; Experiences; Teachers

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.

这笔资金在南阿拉巴马大学建立了一个新的教师研究体验 (RET) 网站。 莫比尔和鲍德温县公立学校的在职初中和高中教师每年夏天将花费六周的时间从事以仿生计算为重点的研究活动。 RET 教师将在南阿拉巴马大学跨学科教师团队以及行业合作伙伴的指导下，在神经形态系统和支持机器学习应用的受生物学启发的系统领域开展基于发现的研究项目。 RET 教师将设计符合标准的课程模块，并在学年期间在课堂上实施这些模块，并为其他教师举办研讨会。 教师们还将在暑期研究活动和学年期间参加许多专业发展活动。该项目应在大学、K-12 学校和周边社区之间建立持久的关系，有助于在大学和其他合作伙伴支持的学校中建立强大的教育基础。RET 网站以引人注目的计算和工程研究领域——神经形态系统为基础。 这些研究项目涵盖支持未来计算系统的应用程序、架构、电路和设备。 这些项目建立在教师导师的专业知识和持续研究的基础上。 待研究的技术领域包括用于癌症检测的新颖图像收集技术和图像处理算法、用于图像数据的尖峰神经网络算法、支持所开发算法的新型节能存储器架构和电路，以及用于更好预测和准确性的基于忆阻器器件的新型神经拟态系统设计。该研究将为教师提供开发数学、物理、生物、化学、工程和技术方面符合州和国家课程标准的创意课程模块的机会。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

PAWN: Programmed Analog Weights for Non-Linearity Optimization in Memristor-Based Neuromorphic Computing System

• 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

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
• 作者: Oli-Uz-Zaman, Md.;Khan, Saleh Ahmad;Oswald, William;Liao, Zhiheng;Wang, Jinhui
• 通讯作者: Wang, Jinhui

Reliability Improvement in RRAM-based DNN for Edge Computing

• DOI: 10.1109/iscas48785.2022.9937260
• 发表时间: 2022-05
• 期刊: 2022 IEEE International Symposium on Circuits and Systems (ISCAS)
• 作者: Md. Oli-Uz-Zaman;Saleh Ahmad Khan;Geng Yuan;Yanzhi Wang;Zhiheng Liao;Jingyan Fu;Caiwen Ding;Jinhui Wang

Cycle-to-Cycle Variation Suppression in ReRAM-Based AI Accelerators

基于 ReRAM 的 AI 加速器中的周期变化抑制

• DOI: 10.1109/paine58317.2023.10317995
• 发表时间: 2023
• 期刊: Proc. IEEE International Conference on Physical Assurance and Inspection of Electronics (PAINE'23
• 作者: Fu, Jingyan;Liao, Zhiheng;Wang, Jinhui
• 通讯作者: Wang, Jinhui