Optimization could cut the carbon footprint of AI training b

A new way to optimize the training of deep learning models, a rapidly evolving tool for powering artificial intelligence, could slash AI's energy demands.

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Michigan , United States , Boston , Massachusetts , Mosharaf Chowdhury , Zhenning Yang , National Science Foundation , University Of Michigan , International Conference On Learning Representations Workshop , Vmware , Kwanjeong Educational Foundation , Networked Systems Design , Jae Won Chung , Jie You , International Conference , Learning Representations ,