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Phase I IUCRC Oregon State University: Center on Pervasive Personalized Intelligence (PPI)

Phase I IUCRC Oregon State University: Center on Pervasive Personalized Intelligence (PPI)
第一阶段 IUCCRC 俄勒冈州立大学:普遍个性化情报中心 (PPI)
批准号:
1941892
负责人:
Weng-Keen Wong
金额:
$75.0万
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
项目状态:
未结题
起止时间:
2020-06-01 至 2025-05-31

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中文摘要
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英文摘要
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 Oregon State University (OSU), which will advance the areas of Artificial Intelligence, Computer Security and Privacy and Visualization.Researchers at OSU will investigate foundational research under three thrusts. First, under the AI thrust, investigators will develop new AI algorithms in anomaly detection, transfer learning, time series analysis and explainable AI. Second, for the security and privacy thrust, investigators will explore methods for private computation, in which several parties use private data in a computation, and learn only the result of the computation without learning any other private information. 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 AI systems.Advances in IoT will impact many facets of everyday life. The PPI Center explores research thrusts in Artificial Intelligence, 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 OSU’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.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
One Explanation is Not Enough: Structured Attention Graphs for Image Classification
一种解释是不够的:用于图像分类的结构化注意力图
DOI: --
发表时间: 2021
期刊: Advances in neural information processing systems
影响因子: --
作者: [Shitole, Vivswan, Li, Fuxin, Kahng, Minsuk, Tadepalli, Prasad, Fern, Alan]
通讯作者: Fern, Alan
SoCS: Collaborative Research: A Human Computational Approach for Improving Data Quality in Citizen Science Projects
  • 批准号:
    1209714
  • 项目类别:
    Standard Grant
  • 资助金额:
    $17.46万
  • 财政年份:
    2012
  • 负责人:
    Weng-Keen Wong
  • 依托单位:
CDI-Type I: Novel machine learning models for predicting species distributions in response to climate change
  • 批准号:
    0941748
  • 项目类别:
    Standard Grant
  • 资助金额:
    $60.95万
  • 财政年份:
    2009
  • 负责人:
    Weng-Keen Wong
  • 依托单位:
海外基金