CAREER: Scalable Computer Architectures of Hierarchical Noeoctex Models and K-12 Education Enhancement
职业:分层 Noeoctex 模型的可扩展计算机架构和 K-12 教育增强
基本信息
- 批准号:0644231
- 负责人:
- 金额:$ 40万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2007
- 资助国家:美国
- 起止时间:2007-03-15 至 2010-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The research objective of this CAREER proposal is to develop computer hardware architectures that would accelerate cognitive applications based on hierarchical neocortex models. These new class of cognitive models have shown significant promise in describing the functioning of the neocortex. Cognitive applications include perception, natural language comprehension, and cognitive reflection and are important in a large variety of domains such as national security, medicine, transportation, industry, and science. Large scale implementations will also enable neurobiologists to evaluate new models of the neocortex. In this work, biologically inspired architectures will be developed for large scale FPGA systems and embedded processing applications. Once these are developed, a model to predict the performance of the cognitive models on other architectures will be investigated. The research work will enable real-time implementations of cognitive applications at the large scale through FPGA clusters and at the embedded scale through a specialized architecture.The educational objectives of this proposal are aimed at benefiting students from the K-12 to the university level. At the university level, an architecture visualization tool to enhance learning of architecture concepts will be developed. In addition, the research ideas developed form this work will be introduced into the curriculum through classroom projects. At the K-12 level, a set of lesson plans and learning tools about computer technology will be developed for elementary school students. Elementary school teachers will be trained in the use of the tools and lesson plans through a series of workshops. This work will be implemented in collaboration with the "Call Me Mister" program at Clemson University (this program is aimed at increasing the number of minority school teachers in South Carolina).
这项职业计划的研究目标是开发计算机硬件架构,以加速基于层次化新皮质模型的认知应用。这些新的认知模型在描述大脑皮层的功能方面显示出了巨大的潜力。认知应用包括感知、自然语言理解和认知反思,在国家安全、医学、交通、工业和科学等领域都很重要。大规模的实施还将使神经生物学家能够评估新的大脑皮层模型。在这项工作中,将为大规模的FPGA系统和嵌入式处理应用开发受生物启发的架构。一旦开发了这些模型,就将研究预测认知模型在其他体系结构上的性能的模型。这项研究工作将通过FPGA集群实现大规模认知应用的实时实现,并通过专门的架构实现嵌入式规模的认知应用。这项计划的教育目标旨在使从K-12到大学的学生受益。在大学一级,将开发一个建筑可视化工具,以加强对建筑概念的学习。此外,从这项工作中形成的研究思路将通过课堂项目引入课程。在K-12阶段,将为小学生开发一套关于计算机技术的教案和学习工具。小学教师将通过一系列讲习班接受使用工具和教案的培训。这项工作将与克莱姆森大学的“叫我先生”计划(该计划旨在增加南卡罗来纳州少数族裔学校的教师数量)合作实施。
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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Tarek Taha其他文献
Strictly Decentralized Approaches for Multi-Robot Grasp Coordination
多机器人抓取协调的严格分散方法
- DOI:
10.1109/case56687.2023.10260355 - 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Rajkumar Muthusamy;V. Kyrki;Praveen Kumar Muthusamy;Tarek Taha;I. Hussain;Yahya H. Zweiri;Domenico Prattichizzo;Dongming Gan - 通讯作者:
Dongming Gan
A brief insight into the rare diseases in Egypt
埃及罕见病简述
- DOI:
10.1007/s44162-023-00010-1 - 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Tarek Taha;Dina Ahmed;Zaynab El;Gehad Atef Oura;S. Elshenawy;Yasmine Gaber;Tarek Elnagdy;Khaled Amer - 通讯作者:
Khaled Amer
Mini-HoLEP (MILEP) vs HoLEP: a propensity score-matched analysis
- DOI:
10.1007/s00345-023-04562-1 - 发表时间:
2023-08-25 - 期刊:
- 影响因子:2.900
- 作者:
Tarek Taha;Ziv Savin;Karin Lifshitz;Yotam Veredgorn;Tomer Mendelson;Yuval Bar-Yosef;Ofer Yossepowitch;Mario Sofer - 通讯作者:
Mario Sofer
The Egypt Genome Project.
埃及基因组计划。
- DOI:
10.1038/s41588-024-01739-1 - 发表时间:
2024 - 期刊:
- 影响因子:30.8
- 作者:
M. Elmonem;Neveen A. Soliman;Ahmed Moustafa;Y. Gad;Wael A. Hassan;Tarek Taha;Gina El;Mahmoud Sakr;Khaled Amer - 通讯作者:
Khaled Amer
Targeting the tumour cell surface in advanced prostate cancer
针对晚期前列腺癌中的肿瘤细胞表面
- DOI:
10.1038/s41585-025-01014-w - 发表时间:
2025-04-01 - 期刊:
- 影响因子:14.600
- 作者:
Cristina Boixareu;Tarek Taha;Varadha Balaji Venkadakrishnan;Johann de Bono;Himisha Beltran - 通讯作者:
Himisha Beltran
Tarek Taha的其他文献
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{{ truncateString('Tarek Taha', 18)}}的其他基金
SHF:Small:Neuromorphic Architectures for On-line Learning
SHF:Small:用于在线学习的神经形态架构
- 批准号:
1718633 - 财政年份:2017
- 资助金额:
$ 40万 - 项目类别:
Standard Grant
Collaborative Research: High Performance Cellular Simultaneous Recurrent Network based Pattern Recognition
合作研究:基于高性能蜂窝同时循环网络的模式识别
- 批准号:
1309708 - 财政年份:2013
- 资助金额:
$ 40万 - 项目类别:
Standard Grant
CAREER: Scalable Computer Architectures of Hierarchical Noeoctex Models and K-12 Education Enhancement
职业:分层 Noeoctex 模型的可扩展计算机架构和 K-12 教育增强
- 批准号:
1053149 - 财政年份:2009
- 资助金额:
$ 40万 - 项目类别:
Continuing Grant
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