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Proposes TriHead-GAN, a transformer-based GAN with a triple-head discriminator that jointly supervises distributional authenticity, cross-variable dependencies, and temporal smoothness for generating realistic carbon emission time series, outperforming baselines on multiple datasets.
Andrew Ng argues that concerns about data centers' carbon emissions, electricity prices, and water use are overstated, and that blocking data center construction would harm the environment more than help it.