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SHF: Conference: Hardware and Algorithms for Learning On-a-chip; November 5, 2015; Austin, TX

SHF: Conference: Hardware and Algorithms for Learning On-a-chip; November 5, 2015; Austin, TX
SHF:会议:片上学习的硬件和算法;
批准号:
1545974
负责人:
Yu Cao
金额:
$1.5万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-07-15 至 2016-06-30

项目摘要

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中文摘要
翻译
通过这笔赠款,支持学生参加一个研讨会,以建立一个论坛,讨论当前的实践以及未来在脑相关科学的三个相互关联的子领域的研究需求。研讨会将讨论三个具体的子领域:芯片上学习的硬件加速;机器学习算法和神经启发的信息处理;以及用于学习的纳米电子设计,重点是性能和能源效率。工作坊将由三个部分组成,之后将进行小组讨论,最后将以张贴海报的形式介绍学生的作品。会议不仅为研究人员提供了解决问题的场所,也为研究生和其他人提供了一个平台,通过参加应邀的演讲、演讲和一般领域的教程来了解尖端研究。这次研讨会的成果包括由亚利桑那州立大学主办的一个网页,以传播该计划和讨论,以及一份明确确定计算神经科学、机器学习和硬件设计方面的主要研究挑战和需求的报告。论文和海报将通过研讨会会议记录发表。这些结果将阐明相关社区感兴趣的新的和令人兴奋的跨学科研究问题,并阐明在这一领域进行进一步研究的愿景。最后的研讨会报告也将作为年度报告提交给国家科学基金会,并将在网上发布,与一般研究社区分享。
英文摘要
Support for student participation in a workshop to establish a forum for discussion of the current practices, as well as future research needs in three interrelated subareas of brain related sciences is provided through this grant. The three specific subareas that the workshop will discuss are: hardware acceleration of on-chip learning; machine learning algorithms and neuro-inspired information processing; and nano-electronic design for learning, with the focus on performance and energy efficiency. The workshop will consist of three sessions and will be followed by a panel discussion, and will end with a poster session to present student work. The conference will not only provide a venue for researchers to address problems but also a platform for graduate students and others to learn about cutting-edge research by attending invited talks, presentations, tutorials in the general area.The outcome of this workshop include a webpage hosted by the Arizona State University to disseminate the program and discussions, as well as a report that clearly identifies major research challenges and needs in computational neurosciences, machine learning, and hardware design. The papers and posters will be published through the workshop proceedings. These results will illustrate new and exciting inter-disciplinary research problems of interest to the related communities, and articulate a vision of conducting further research in this area. The final workshop report will also be submitted to NSF as an annual report and will be released online for sharing with the research community in general.
期刊论文(0)
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会议论文
Collaborative Research: SHF: Medium: Tiny Chiplets for Big AI: A Reconfigurable-On-Package System
SHF: Small: Efficient and Accurate Learning with Low-Precision Components: A Cortex-Inspired Approach
  • 批准号:
    1715443
  • 项目类别:
    Standard Grant
  • 资助金额:
    $45.0万
  • 财政年份:
    2017
  • 负责人:
    Yu Cao
  • 依托单位:
REU SITE: Research on Biomedical Informatics
  • 批准号:
    1415477
  • 项目类别:
    Standard Grant
  • 资助金额:
    $17.14万
  • 财政年份:
    2013
  • 负责人:
    Yu Cao
  • 依托单位:
REU SITE: Research on Biomedical Informatics
海外基金