IUCRC Proposal Phase I University of Colorado Boulder: Center for Pervasive Personalized Intelligence (PPI)

IUCRC 提案第一阶段科罗拉多大学博尔德分校:普适个性化情报中心 (PPI)

基本信息

  • 批准号:
    1941898
  • 负责人:
  • 金额:
    $ 75万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-06-01 至 2025-05-31
  • 项目状态:
    未结题

项目摘要

The Internet of Things (IoT) refers to the ecosystem of computing devices (e.g. cellphones, household appliances, vehicles, etc.) connected to each other via the internet. The goal of the Center is to enable the next generation of IoT systems to be more proactive and personalized without compromising security and privacy, thereby improving decision making, increasing efficiency and enabling new types of computing applications. This Pervasive Personalized Intelligence (PPI) will be brought about by collaborative research efforts between industry and the University of Colorado Boulder (CU), which will advance the areas of Computing Systems, Programming Languages and Verification, and Visualization.Researchers at CU will investigate foundational research under three thrusts. First, under the Computing Systems thrust, investigators will develop fundamental, developer-friendly, system-level services at the middleware layer to integrate mobile nodes, IoT devices and edge servers. Second, for the Programmability thrust, investigators will create new techniques that enable software developers to effectively create and evolve rich PPI applications that, by construction, are secure, privacy-preserving and reliable. Finally, under the Visualization thrust, investigators will explore methods to help data stakeholders, research scientists, and policymakers to understand their data and/or make sense of decisions made by Artificial Intelligence (AI) systems.Advances in IoT impact many facets of everyday life. The PPI Center explores research thrusts in Artificial Intelligence, Computing Systems, Programmability, Visualization, and Computer Security and Privacy that are broadly applicable beyond IoT systems to a variety of other scientific domains such as environmental science, agriculture, biology and robotics. The research outputs will be disseminated through publications, research presentations to industry and academia, open-source code and industrial collaborations. The Center will train graduate students through hands-on experience on projects relevant to industrial collaborators. The educational activities include summer schools for industry engineers and K-12 outreach through partnerships with CU’s programs.The PPI Center will maintain a publicly-accessible project repository that will store open-source code, publicly available datasets, papers and other research outputs that can be disseminated to the general public. This repository will be maintained for the lifetime of the center and the URL will be http://ppicenter.org.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.
物联网(IoT)是指计算设备(例如,手机、家用电器、车辆等)的生态系统。通过互联网相互连接。该中心的目标是使下一代物联网系统更加主动和个性化,而不影响安全和隐私,从而改善决策,提高效率并实现新型计算应用。这种普遍的个性化智能(PPI)将由工业界和科罗拉多大学博尔德分校(CU)之间的合作研究努力带来,这将推进计算系统,编程语言和验证以及可视化领域。CU的研究人员将在三个方面调查基础研究。首先,在计算系统的推动下,研究人员将在中间件层开发基础的、开发人员友好的系统级服务,以集成移动的节点、物联网设备和边缘服务器。第二,对于可编程性的推进,研究人员将创造新的技术,使软件开发人员能够有效地创建和发展丰富的PPI应用程序,通过构建,这些应用程序是安全的,隐私保护和可靠的。最后,在可视化的推动下,研究人员将探索帮助数据利益相关者、研究科学家和政策制定者理解他们的数据和/或理解人工智能(AI)系统做出的决策的方法。物联网的进步影响着日常生活的许多方面。PPI中心探索人工智能,计算系统,可编程性,可视化以及计算机安全和隐私方面的研究方向,这些研究方向广泛适用于物联网系统以外的各种其他科学领域,如环境科学,农业,生物学和机器人技术。研究成果将通过出版物、向工业界和学术界的研究报告、开源代码和工业合作传播。该中心将通过与工业合作者相关的项目的实践经验来培训研究生。教育活动包括为行业工程师举办暑期学校,以及通过与CU项目合作开展K-12推广活动。PPI中心将维护一个可公开访问的项目库,该库将存储开源代码、公开可用的数据集、论文和其他可以向公众传播的研究成果。该存储库将在中心的整个生命周期内进行维护,URL将是http://ppicenter.org.This奖项反映了NSF的法定使命,并通过使用基金会的知识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

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Daniel Dig其他文献

Daniel Dig的其他文献

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{{ truncateString('Daniel Dig', 18)}}的其他基金

Collaborative Research: CCRI: New: A Software Refactoring Community Infrastructure
合作研究:CCRI:新:软件重构社区基础设施
  • 批准号:
    2213767
  • 财政年份:
    2022
  • 资助金额:
    $ 75万
  • 项目类别:
    Standard Grant
CAREER: Program Analysis and Transformations for Asynchrony
职业:异步程序分析和转换
  • 批准号:
    2115865
  • 财政年份:
    2020
  • 资助金额:
    $ 75万
  • 项目类别:
    Continuing Grant
IUCRC Planning Oregon State University: Center on Pervasive Personalized Intelligence (PPI)
IUCCRC 规划俄勒冈州立大学:普遍个性化情报中心 (PPI)
  • 批准号:
    1822131
  • 财政年份:
    2018
  • 资助金额:
    $ 75万
  • 项目类别:
    Standard Grant
CAREER: Program Analysis and Transformations for Asynchrony
职业:异步程序分析和转换
  • 批准号:
    1553741
  • 财政年份:
    2016
  • 资助金额:
    $ 75万
  • 项目类别:
    Continuing Grant
SHF: Small: Interactive Refactoring for Multicore Parallelism
SHF:小型:多核并行性的交互式重构
  • 批准号:
    1442157
  • 财政年份:
    2014
  • 资助金额:
    $ 75万
  • 项目类别:
    Standard Grant
SHF: Large: Collaborative Research: Science and Tools for Software Evolution
SHF:大型:协作研究:软件演化的科学和工具
  • 批准号:
    1439957
  • 财政年份:
    2013
  • 资助金额:
    $ 75万
  • 项目类别:
    Continuing Grant
SHF: Small: Interactive Refactoring for Multicore Parallelism
SHF:小型:多核并行性的交互式重构
  • 批准号:
    1219027
  • 财政年份:
    2012
  • 资助金额:
    $ 75万
  • 项目类别:
    Standard Grant
SHF: Large: Collaborative Research: Science and Tools for Software Evolution
SHF:大型:协作研究:软件演化的科学和工具
  • 批准号:
    1213091
  • 财政年份:
    2012
  • 资助金额:
    $ 75万
  • 项目类别:
    Continuing Grant

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