A

Design principles for lifelong learning AI accelerators

Nature Electronics, vol. 6, pp. 807–822

Authors 12

  1. Dhireesha Kudithipudi corresponding

    The University of Texas at San Antonio

    Affiliation as printed

    University of Texas at San Antonio, San Antonio, TX, USA

  2. The University of Texas at San Antonio

    Affiliation as printed

    University of Texas at San Antonio, San Antonio, TX, USA

  3. The University of Texas at San Antonio

    Affiliation as printed

    University of Texas at San Antonio, San Antonio, TX, USA

  4. The University of Texas at San Antonio

    Affiliation as printed

    University of Texas at San Antonio, San Antonio, TX, USA

  5. Sandia National Laboratories

    Affiliation as printed

    Sandia National Laboratories, Albuquerque, NM, USA

  6. Argonne National Laboratory

    Affiliation as printed

    Argonne National Laboratory, Lemont, IL, USA

  7. Rochester Institute of Technology · The University of Texas at San Antonio

    Affiliation as printed

    Rochester Institute of Technology, Rochester, NY, USA

    University of Texas at San Antonio, San Antonio, TX, USA

  8. Emre Neftci Aachen

    Forschungszentrum Jülich · RWTH Aachen University

    Affiliation as printed

    Forschungszentrum Jülich and RWTH Aachen, Aachen, Germany

  9. Affiliation as printed

    Tenstorrent Inc., Boston, MA, USA

  10. University of Pisa

    Affiliation as printed

    University of Pisa, Pisa, Italy

  11. United States Air Force Research Laboratory · Rome Laboratory

    Affiliation as printed

    Air Force Research Laboratory, Rome, NY, USA

  12. ECS (United States)

    Affiliation as printed

    ECS Federal, Arlington, VA, USA

Cited by 22 stored of 22

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References 111