How developers can lower AI's climate impact AI development can be a power-hungry process, but there are tactics for reducing energy use and carbon emissions
AI development can consume large amounts of energy, leading to growing concerns about the climate impact of this emerging technology. The authors explain how tactics such as rethinking how much training data is required and reusing already-trained models can reduce energy consumption and lower the r...
| Otros Autores: | , , |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
[Cambridge, Massachusetts] :
MIT Sloan Management Review
[2024]
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| Edición: | [First edition] |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009825911006719 |
| Sumario: | AI development can consume large amounts of energy, leading to growing concerns about the climate impact of this emerging technology. The authors explain how tactics such as rethinking how much training data is required and reusing already-trained models can reduce energy consumption and lower the resulting carbon emissions from artificial intelligence initiatives. |
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| Notas: | Reprint #65301. |
| Descripción Física: | 1 online resource (5 pages) |
