When neural networks achieved 97% accuracy in real-time speech translation last month, it sparked a crucial question: Can these systems overcome their notorious energy consumption while maintaining performance? The global AI market, projected to reach $1.8 trillion by 2030, now faces a paradoxical challenge – escalating demand versus unsustainable compute costs.
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