Adam Wierman

Dec 9, 2024 | arxiv.org | Zhifeng Wu |Pengfei Li |Adam Wierman |Shaolei Ren

Jul 25, 2024 | infobae.com | Shaolei Ren |Adam Wierman

Últimas NoticiasPolíticaEconomíaDólar hoyDeportesSociedadPolicialesNewslettersLa adopción de la inteligencia artificial se ha acelerado rápidamente en todos los sectores de la sociedad, ofreciendo la posibilidad de abordar desafíos globales compartidos, como el cambio climático y la mitigación de las sequías. Sin embargo, detrás del entusiasmo que rodea al potencial transformador de la IA, se esconden redes neuronales profundas, que consumen grandes cantidades de energía.

Jul 15, 2024 | hbr.org | Shaolei Ren |Adam Wierman

The training process for a single AI model, such as an LLM, can consume thousands of megawatt hours of electricity and emit hundreds of tons of carbon. AI model training can also lead to the evaporation of an astonishing amount of freshwater into the atmosphere for data center heat rejection, potentially exacerbating stress on our already limited freshwater resources.

Jun 20, 2023 | arxiv.org | Jianyi Yang |Adam Wierman |Shaolei Ren

arXiv:2307.05494 (cs) Download a PDF of the paper titled Towards Environmentally Equitable AI via Geographical Load Balancing, by Pengfei Li and Jianyi Yang and Adam Wierman and Shaolei Ren Download PDF Submission history From: Shaolei Ren [ view email] [v1] Tue, 20 Jun 2023 17:13:33 UTC (258 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data,...