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AI’s computing gap: academics lack access to powerful chips needed for research

Survey highlights disparity between academic and industry scientists’ access to computing power needed to train machine-learning models.
  1. Helena Kudiabor
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Many university scientists are frustrated by the limited amount of computing power available to them for research into artificial intelligence (AI), according to a survey of academics at dozens of institutions worldwide.

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Nature 636, 16-17 (2024)

doi: https://doi.org/10.1038/d41586-024-03792-6

References

  1. Khandelwal, A. et al. Preprint at arXiv https://doi.org/10.48550/arXiv.2410.23261 (2024).

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