PyTorch: The Once-For-All (OFA) network from Han Cai, @SongHan_MIT et. al.
Train one flexible network, deploy subsets that specialize to Mobile, Cloud, IOT efficiently, without retraining!
News: http://news.mit.edu/2020/artificial-intelligence-ai-carbon-footprint-0423 https://t.co/MegrXNwBUA
2 replies, 325 likes
Chris Albertyn: #AI has the capacity to optimise our #sustainability practices...but let's not forget it has an intrinsic #carbonfootprint (i.e. https://www.technologyreview.com/2019/06/06/239031/training-a-single-ai-model-can-emit-as-much-carbon-as-five-cars-in-their-lifetimes/).
Will the following be a solution? https://singularityhub.com/2020/05/04/this-once-for-all-neural-network-could-slash-ais-carbon-footprint/ (pre-print: https://arxiv.org/abs/1908.09791)
@EricTopol @NHSX @HDR_UK https://t.co/7p7JOvumwf
0 replies, 2 likes
Dr William Marshall: Paper: Once-for-All: Train One Network and Specialise it for Efficient Deployment.
MIT researchers have created a method of reducing the power requirement - and hence carbon footprint - of #AI system development. #DNN
0 replies, 1 likes
Found on Apr 29 2020 at https://arxiv.org/pdf/1908.09791.pdf