Shaolei Ren

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

Dec 4, 2024 | arxiv.org | Pengfei Li |Giulia Fanti |Shaolei Ren |Opelo Tshekiso

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Nov 12, 2024 | luizasnewsletter.com | Sasha Luccioni |Bruna Trevelin |Margaret Mitchell |Shaolei Ren

👋 Hi, Luiza Jarovsky here. Welcome to the 146thedition of this newsletter on the latest developments in AI policy, compliance & regulation, read by 38,300+ subscribers in 155+ countries. I hope you enjoy reading it as much as I enjoy writing it!💎 In this week's AI Governance Professional Edition, I’ll discuss the latest legal decisions on AI copyright and the potential outcomes everyone in the AI field should know. Paid subscribers will receive it on Thursday.

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.