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Phase I IUCRC University of Florida: Center for Big Learning

Phase I IUCRC University of Florida: Center for Big Learning
第一阶段 IUCRC 佛罗里达大学:大学习中心
批准号:
1747783
负责人:
Joel Harley
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:
2018
资助国家:
美国
项目状态:
未结题
起止时间:
2018-02-01 至 2025-01-31

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中文摘要
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英文摘要
This project establishes the NSF Industry/University Collaborative Research Center for Big Learning (CBL). The vision is to create intelligence towards intelligence-driven society. Through catalyzing the fusion of diverse expertise from the consortium of faculty members, students, industry partners, and federal agencies, CBL seeks to create state-of-the-art deep learning methodologies and technologies and enable intelligent applications, transforming broad domains, such as business, healthcare, Internet-of-Things, and cybersecurity. This timely initiative creates a unique platform for empowering our next-generation talents with cutting-edge technologies of societal relevance and significance. This project establishes the NSF Industry/University Collaborative Research Center for Big Learning (CBL) at University of Florida (UF). With substantial breakthroughs in multiple modalities of challenges, such as computer vision, speech recognition, and natural language understanding, the renaissance of machine intelligence is dawning. The CBL vision is to create intelligence towards intelligence-driven society. The mission is to pioneer novel deep learning algorithms, systems, and applications through unified and coordinated efforts in the CBL consortium. The UF Site will focus on intelligent platforms and applications and closely collaborate with other sites on deep learning algorithms, systems, and applications.The CBL will have broad transformative impacts in technologies, education, and society. CBL aims to create pioneering research and applications to address a broad spectrum of real-world challenges, making significant contributions and impacts to the deep learning community. The discoveries from CBL will make significant contributions to promote products and services of industry in general and CBL industry partners in particular. As the magnet of deep learning research and applications, CBL offers an ideal platform to nurture next-generation talents through world-class mentors from both academia and industry, disseminates the cutting-edge technologies, and facilitates industry/university collaboration and technology transfer.The center repository will be hosted at http://nsfcbl.org. The data, code, documents will be well organized and maintained on the CBL servers for the duration of the center for more than five years and beyond. The internal code repository will be managed by GitLab. After the software packages are well documented and tested, they will be released and managed by popular public code hosting services, such as GitHub and Bitbucket.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1109/jstars.2022.3217485
发表时间: 2022-10
期刊: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
影响因子: 5.5
作者: [Aditya Dutt;Alina Zare;P. Gader]
通讯作者: Aditya Dutt;Alina Zare;P. Gader
DOI: 10.1109/tsp.2023.3348948
发表时间: 2024-01-01
期刊: IEEE TRANSACTIONS ON SIGNAL PROCESSING
影响因子: 5.4
作者: [Tetali,Harsha Vardhan, Harley,Joel B., Haeffele,Benjamin D.]
通讯作者: Haeffele,Benjamin D.
DOI: 10.1609/aaai.v34i05.6366
发表时间: 2019-12
期刊: ArXiv
影响因子: --
作者: [Xiyao Ma;Qile Zhu;Yanlin Zhou;Xiaolin Li;D. Wu]
通讯作者: Xiyao Ma;Qile Zhu;Yanlin Zhou;Xiaolin Li;D. Wu
Learning Tensor Representations to Improve Quality of Wavefield Data
学习张量表示以提高波场数据的质量
DOI: 10.1115/qnde2023-108620
发表时间: 2023
期刊: Proc. of the Review of Quantitative Nondestructive Evaluation
影响因子: --
作者: [Tetali, Harsha Vardhan, Harley, Joel B.]
通讯作者: Harley, Joel B.
9
    EAGER: Real-Time: Ultrasonic Reconstruction and Localization with Deep Helmholtz Networks
    • 批准号:
      1839704
    • 项目类别:
      Standard Grant
    • 资助金额:
      $27.31万
    • 财政年份:
      2018
    • 负责人:
      Joel Harley
    • 依托单位:
    海外基金