The immense and quickly advancing computing requirements of AI models could lead to the industry discarding the e-waste equivalent of over 10 billion iPhones per year by 2030, researchers project. In a paper published in the journal Nature, researchers from Cambridge University and the Chinese Academy of Sciences take a shot at predicting just how […]

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