While AI promises unparalleled efficiency, productivity, and innovation, questions regarding its environmental impact loom large. How can AI’s development be maintained against a backdrop of environmental responsibility? Editor’s note: This article originally appeared in Silicon UK and has been republished with permission from the publisher and the author. At its core, AI relies on vast computational power to process and analyse data, driving machine learning algorithms and powering intelligent decision-making processes. This insatiable demand for computing resources comes with a hefty environmental price tag. According to IEA, datacentres currently consume 1.5% of all global electricity generated. And with NVIDIA estimated to…
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