Athena - The NSF AI Institute for Edge Computing

被引:0
|
作者
Chen, Yiran [1 ,5 ]
Banerjee, Suman [2 ]
Daily, Shaundra [1 ]
Krolik, Jeffery [1 ]
Li, Hai [1 ]
Limbrick, Daniel [3 ]
Pajic, Miroslav [1 ]
Runton, Rajashi [1 ]
Zhong, Lin [4 ]
机构
[1] Duke Univ, Dept Elect & Comp Engn, Durham, NC USA
[2] Univ Wisconsin, Dept Comp Sci, Madison, WI USA
[3] North Carolina A&T State Univ, Elect & Comp Engn Dept, Greensboro, NC USA
[4] Yale Univ, Dept Comp Sci, New Haven, CT USA
[5] Duke Univ, Dept Elect & Comp Engn, 130 Hudson Hall, Durham, NC 27708 USA
关键词
Compendex;
D O I
10.1002/aaai.12147
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The National Science Foundation (NSF) Artificial Intelligence (AI) Institute for Edge Computing Leveraging Next Generation Networks (Athena) seeks to foment a transformation in modern edge computing by advancing AI foundations, computing paradigms, networked computing systems, and edge services and applications from a completely new computing perspective. Led by Duke University, Athena leverages revolutionary developments in computer systems, machine learning, networked computing systems, cyber-physical systems, and sensing. Members of Athena form a multidisciplinary team from eight universities. Athena organizes its research activities under four interrelated thrusts supporting edge computing: Foundational AI, Computer Systems, Networked Computing Systems, and Services and Applications, which constitute an ambitious and comprehensive research agenda. The research tasks of Athena will focus on developing AI-driven next-generation technologies for edge computing and new algorithmic and practical foundations of AI and evaluating the research outcomes through a combination of analytical, experimental, and empirical instruments, especially with target use-inspired research. The researchers of Athena demonstrate a cohesive effort by synergistically integrating the research outcomes from the four thrusts into three pillars: Edge Computing AI Systems, Collaborative Extended Reality (XR), and Situational Awareness and Autonomy. Athena is committed to a robust and comprehensive suite of educational and workforce development endeavors alongside its domestic and international collaboration and knowledge transfer efforts with external stakeholders that include both industry and community partnerships.
引用
收藏
页码:15 / 21
页数:7
相关论文
共 50 条
  • [1] AI-EDGE: An NSF AI institute for future edge networks and distributed intelligence
    Ju, Peizhong
    Li, Chengzhang
    Liang, Yingbin
    Shroff, Ness
    AI MAGAZINE, 2024, 45 (01) : 29 - 34
  • [2] AI computing reaches for the edge
    Iyer, Subramanian S.
    Roychowdhury, Vwani
    SCIENCE, 2023, 382 (6668) : 263 - 264
  • [3] Research: Edge computing, AI
    Hoske, Mark T.
    Pel-Liccione, Amandu
    Control Engineering, 2023, 70 (04)
  • [4] Heterogeneous Computing for Edge AI
    Tsung, Pei-Kuei
    Chen, Tung-Chien
    Lin, Chien-Hung
    Chang, Chih-Yu
    Hsu, Jih-Ming
    2019 INTERNATIONAL SYMPOSIUM ON VLSI DESIGN, AUTOMATION AND TEST (VLSI-DAT), 2019,
  • [5] NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES)
    McGovern, Amy
    Bostrom, Ann
    Davis, Phillip
    Demuth, Julie L. L.
    Ebert-Uphoff, Imme
    He, Ruoying
    Hickey, Jason
    Gagne II, David John
    Snook, Nathan
    Stewart, Jebb Q. Q.
    Thorncroft, Christopher
    Tissot, Philippe
    Williams, John K. K.
    BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 2022, 103 (07) : E1658 - E1668
  • [6] AI2ES: The NSF AI Institute for Research on Trustworthy AI for Weather, Climate, and Coastal Oceanography
    McGovern, Amy
    Ebert-Uphoff, Imme
    Barnes, Elizabeth A.
    Bostrom, Ann
    Cains, Mariana G.
    Davis, Phillip
    Demuth, Julie L.
    Diochnos, Dimitrios I.
    Fagg, Andrew H.
    Tissot, Philippe
    Williams, John K.
    Wirz, Christopher D.
    AI MAGAZINE, 2024, 45 (01) : 105 - 110
  • [7] AI Sensor Applications in Edge Computing
    Lai, Meng-Huang
    Chang, Kang-Shuo
    IEEE NANOTECHNOLOGY MAGAZINE, 2023, 17 (06) : 23 - 28
  • [8] Oscillatory Neural Networks for Edge AI Computing
    Delacour, Corentin
    Carapezzi, Stefania
    Abernot, Madeleine
    Boschetto, Gabriele
    Azemard, Nadine
    Salles, Jeremie
    Gil, Thierry
    Todri-Sanial, Aida
    2021 IEEE COMPUTER SOCIETY ANNUAL SYMPOSIUM ON VLSI (ISVLSI 2021), 2021, : 326 - 331
  • [9] Edge Computing Architecture for applying AI to IoT
    Calo, Seraphin B.
    Touna, Maroun
    Verma, Dinesh C.
    Cullen, Alan
    2017 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2017, : 3012 - 3016
  • [10] Traffic Safety System Edge AI Computing
    Liu, Albert Chun Chen
    Law, Oscar Ming Kin
    Liao, Jeremiah
    Chen, Jeffrey Y. C.
    Hsieh, Andy Jia En
    Hsieh, Cheng Hung
    2021 ACM/IEEE 6TH SYMPOSIUM ON EDGE COMPUTING (SEC 2021), 2021, : 468 - 469