"Deep learning is energy inefficient. AI tasks that use computer vision, speech processing, and NLP require big data, and typically, the training is executed using GPUs — the processes are all energetically costly. The accuracy of Alexnet meant that the processing of a single image required 700 million different MAC multiplication and accumulation) operations, with concomitant high energy consumption."
https://electronics360.globalspec.com/article/21222/back-to-the-future-how-analog-computing-can-drive-ai
AI is wasting our environment. For what? Greed.
Gerry McGovern /
npub1te…ts6tq
2024-06-27 09:50:10
Author Public Key
npub1tev3swuf9vzq9sup6ttkwgcae9d7fw05ca0tn36fvw56sdjx7y3s3ts6tqPublished at
2024-06-27 09:50:10Event JSON
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