RET Site: Physically and Biologically Inspired Computational Models and Systems
RET 站点:物理和生物启发的计算模型和系统
基本信息
- 批准号:1609394
- 负责人:
- 金额:$ 59.7万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-02-15 至 2021-01-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This award establishes a new Research Experiences for Teachers (RET) Site at Notre Dame University. The site focuses on engaging local high school teachers in summer research projects that explore computational models inspired by physical and biological systems. The RET Site will develop a strong partnership between Notre Dame and schools in the greater South Bend area, including public, private, and parochial schools. The site will recruit cohorts of high school teachers in the areas of Science, Technology, Engineering and Mathematics (STEM) who will work on compelling research projects with faculty mentors and research teams in the summer and then will implement related inquiry-based learning modules and activities in their classrooms during the academic year. The interdisciplinary nature of the research theme will provide a fertile ground for developing creative and appealing high school lessons and teaching activities in biology, physics, math, and other engineering disciplines that align with state and national curricular standards. RET Site teachers will attend a 7-week summer institute to participate in cutting-edge research projects with mentoring from engineering faculty who lead current research programs in the three areas of emphasis. The first area includes deep learning algorithms that solve problems such as language understanding and a behavior prediction most commonly using deep convolutional neural networks. These data-hungry and computationally intensive methods tend to produce models that are far more accurate than their conventional counterparts. The second thread involves non-Boolean/non-von Neumann neuromorphic hardware that processes data in an analog fashion. Systems that function like this could be inspired by the human retina which operates in a continuous fashion and processes continuous input flows with real spatial-temporal dynamics. The third thread encompasses computation models that are directly inspired by physics. This includes areas such as optically inspired computing models involving elements such as spin waves, magnetic lenses, and coupled oscillators to process information. These projects will provide true in-depth learning about computation, waves, and optics which are fundamental to the high school physics curriculum. Working with PIs and faculty mentors, teachers will develop innovative, standards-compliant curriculum modules and participate in a number of professional development activities. The teacher-created modules and lessons will be disseminated local through a RET handbook and on the Notre Dame RET website as well as at the annual workshop and disseminated through TeachEngineering.org, a nationally recognized repository for searchable, standards-based engineering curricula. Extensive follow-up activities are planned throughout the academic year to ensure the translation of lab experiences into classroom practice, and to foster and strengthen long-term partnership between engineering faculty and the local school districts. A third-party professional program evaluator will track and evaluate the program and provide feedback for improvement.
该奖项为巴黎圣母院的教师(RET)网站建立了新的研究经验。 该网站着重于让当地高中教师参与夏季研究项目,这些项目探讨了受物理和生物系统启发的计算模型。 RET网站将在大南本德地区的巴黎圣母院与学校之间建立牢固的合作伙伴关系,包括公立,私立和狭och学校。 该网站将招募科学,技术,工程和数学领域(STEM)领域的高中教师,他们将在夏天与教师导师和研究团队一起工作,然后将实施相关的基于询问的学习模块以及学年的课堂活动。研究主题的跨学科性质将为发展与州和国家课程标准相符的生物学,物理学,数学和其他工程学科的创造性和吸引力的高中课程以及教学活动提供肥沃的基础。 RET网站教师将参加为期7周的夏季研究所,通过工程学院的指导参与尖端的研究项目,他们在重点三个领域中领导当前的研究计划。 第一个领域包括最深入的学习算法,这些算法最常用于深层卷积神经网络等问题,例如语言理解和行为预测。 这些渴望数据和计算密集型方法往往会产生比传统同行更准确的模型。 第二个线程涉及以模拟方式处理数据的非树/非von neumann神经形态硬件。像这样的功能的系统可以受到人类视网膜的启发,人类视网膜以连续的方式和处理具有真实时空动力学的连续输入流动。 第三个线程包含直接灵感的计算模型。 这包括诸如涉及旋转波,磁光镜和耦合振荡器等元素的光学启发的计算模型之类的区域,以处理信息。 这些项目将提供有关高中物理课程至关重要的计算,波浪和光学的真正深入学习。教师与PIS和教师导师合作,将开发创新的,符合标准的课程模块,并参加许多专业发展活动。由教师创建的模块和课程将通过RET手册和Notre Dame Ret网站以及年度研讨会在本地传播,并通过Thengengineering.org进行了分发,这是一家全国认可的基于标准的工程课程的全国认可的存储库。 在整个学年计划进行广泛的后续活动,以确保将实验室经验转化为课堂实践,并促进和加强工程教师与当地学区之间的长期合作伙伴关系。第三方专业计划评估员将跟踪和评估该计划,并提供改进的反馈。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Michael Niemier其他文献
Michael Niemier的其他文献
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{{ truncateString('Michael Niemier', 18)}}的其他基金
RET Site: Biologically Inspired Computing Models, Systems, and Applications
RET 站点:仿生计算模型、系统和应用
- 批准号:
2302070 - 财政年份:2023
- 资助金额:
$ 59.7万 - 项目类别:
Standard Grant
IRES Track 1: Impact of Emerging Information Processing Technologies on Architectures and Applications – a U.S.—French Partnership
IRES 轨道 1:新兴信息处理技术对架构和应用程序的影响——美国与法国的合作伙伴关系
- 批准号:
2153622 - 财政年份:2022
- 资助金额:
$ 59.7万 - 项目类别:
Standard Grant
Collaborative Research: SHF: Medium: A Comprehensive Modeling Framework for Cross-Layer Benchmarking of In-Memory Computing Fabrics: From Devices to Applications
协作研究:SHF:Medium:内存计算结构跨层基准测试的综合建模框架:从设备到应用程序
- 批准号:
2212239 - 财政年份:2022
- 资助金额:
$ 59.7万 - 项目类别:
Standard Grant
RET Site: Biologically and Physically Inspired Computing Models and Systems
RET 站点:生物和物理启发的计算模型和系统
- 批准号:
1855278 - 财政年份:2019
- 资助金额:
$ 59.7万 - 项目类别:
Standard Grant
IRES: U.S.-Hungary Research Experience for Students on Non-Boolean Computer Architectures
IRES:美国-匈牙利学生非布尔计算机体系结构研究经验
- 批准号:
1358072 - 财政年份:2014
- 资助金额:
$ 59.7万 - 项目类别:
Standard Grant
Design and study of self-assembling QCA circuits
自组装QCA电路的设计与研究
- 批准号:
0541324 - 财政年份:2006
- 资助金额:
$ 59.7万 - 项目类别:
Standard Grant
NANO: Applications, Architectures, and Circuit Design for Nano-scale Magnetic Logic Devices
NANO:纳米级磁逻辑器件的应用、架构和电路设计
- 批准号:
0621990 - 财政年份:2006
- 资助金额:
$ 59.7万 - 项目类别:
Continuing Grant
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