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Towards Green AI with tensor networks -- Sustainability and innovation enabled by efficient algorithms. (arXiv:2205.12961v1 [cs.LG])
May 27, 2022, 1:10 a.m. | Eva Memmel, Clara Menzen, Jetze Schuurmans, Frederiek Wesel, Kim Batselier
cs.LG updates on arXiv.org arxiv.org
The current standard to compare the performance of AI algorithms is mainly
based on one criterion: the model's accuracy. In this context, algorithms with
a higher accuracy (or similar measures) are considered as better. To achieve
new state-of-the-art results, algorithmic development is accompanied by an
exponentially increasing amount of compute. While this has enabled AI research
to achieve remarkable results, AI progress comes at a cost: it is
unsustainable. In this paper, we present a promising tool for sustainable and …
ai algorithms arxiv green ai innovation networks sustainability tensor
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