Energy-efficient Artificial Intelligence

Energy-Efficient Artificial Intelligence is an academic concept referring to a class of artificial intelligence methods, models, or systems designed to minimize energy consumption during computation, inference, or training processes, particularly in resource-constrained environments such as edge devices, by optimizing algorithmic efficiency, hardware utilization, or data processing workflows.

283

Publications

19.3K

Citations

1.3K

Authors

464

Institutions

Publications per year

2017–2026

253

Variants

Energy-efficient Ai

Authors

1.3K

  1. HY
    Hoi‐Jun Yoo

    Korea Advanced Institute of Science and Technology, South Korea

    7 publications · 285 citations

    7

    h-index

  2. AR
    Anand Raghunathan

    Princeton University, United States

    5 publications · 333 citations

    5

    h-index

  3. YC
    Yunji Chen

    Institute of Computing Technology, China

    5 publications · 409 citations

    5

    h-index

  4. VS
    Vivienne Sze

    Massachusetts Institute of Technology, United States

    5 publications · 1.2K citations

    5

    h-index

  5. SV
    Swagath Venkataramani

    Purdue University West Lafayette, United States

    5 publications · 319 citations

    5

    h-index

1–5 of 1.3K

Venues

  1. arXiv (Cornell University)

    Repository · 26 publications · 2.5K citations

    17

    h-index

  2. IEEE Access

    12 publications · 675 citations

    11

    h-index

  3. Sensors

    5 publications · 289 citations

    5

    h-index

  4. IEEE Internet of Things Journal

    5 publications · 454 citations

    5

    h-index

  5. 5

    h-index

1–5