Phase I IUCRC Oregon State University: Center on Pervasive Personalized Intelligence (PPI)
Phase I IUCRC Oregon State University: Center on Pervasive Personalized Intelligence (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
中文摘要
物联网(IoT)是指计算设备(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在不影响安全和隐私的情况下更加主动和个性化,从而改善决策、提高效率并支持新型计算应用。这种无处不在的个性化智能(PPI)将由产业界和俄勒冈州立大学(OSU)的合作研究努力带来,这将推动人工智能、计算机安全、隐私和可视化领域的发展。OSU的研究人员将在三个方面研究基础研究。首先,在人工智能的推动下,调查人员将在异常检测、迁移学习、时间序列分析和可解释人工智能方面开发新的人工智能算法。其次,为了安全和隐私,调查人员将探索私人计算的方法,在这种方法中,几方在计算中使用私人数据,只了解计算结果,而不了解任何其他私人信息。最后,在可视化的推动下,调查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了解他们的数据和/或理解人工智能系统做出的决策的方法。物联网的进步将影响日常生活的许多方面。PPI中心探索人工智能、可视化和计算机安全与隐私方面的研究进展,这些研究成果不仅适用于物联网系统,还适用于环境科学、农业、生物学和机器人等其他各种科学领域。研究成果将通过出版物、向工业界和学术界的研究演示、开放源码和工业合作来传播。该中心将通过与产业合作者相关的项目的实践经验来培训研究生。教育活动包括为工业工程师举办暑期学校,以及通过与俄亥俄州立大学的项目合作开展K-12推广活动。PPI中心将维护一个公众可访问的项目储存库,该储存库将存储开放源代码、公开可用的数据集、论文和其他可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,反映了国家科学基金会的法定使命,并已通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
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
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批准号:1209714
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项目类别:Standard Grant
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资助金额:$17.46万
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财政年份:2012
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负责人:Weng-Keen Wong
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依托单位:
CDI-Type I: Novel machine learning models for predicting species distributions in response to climate change
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批准号:0941748
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项目类别:Standard Grant
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资助金额:$60.95万
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财政年份:2009
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负责人:Weng-Keen Wong
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依托单位:
海外基金