AI can be leveraged to promote ESG goals within corporations and industries, but its escalating energy demands pose significant challenges to global net-zero initiatives.| Forbes
The views expressed in Shorenstein Center Discussion Papers are those of the author(s) and do not necessarily reflect those of Harvard Kennedy School, Harvard University or the organizations and institutions with whom the authors are affiliated. Discussion Papers have not undergone formal review and approval. Such papers are included in this series to elicit feedback …| Shorenstein Center
Rapidly increasing energy consumption due to data centers, EVs and AI, requires adopting innovative energy strategies like distributed energy resources and microgrids that offer viable solutions for a more resilient, responsive energy infrastructure.| pv magazine USA
This Gradient Updates issue explores how much energy ChatGPT uses per query, revealing it’s 10x less than common estimates.| Epoch AI
Revolutionize data centers with Bloom Energy's on-site power solutions. Ensure reliability, efficiency, and sustainability for powering AI infrastructure.| Bloom Energy
Data centers consume a lot of energy. However, through smart site selection and Proptech solutions, sustainable facilities can be created.| ProptechOS
Las herramientas de IA generativa, como ChatGPT o DeepSeek, están cada vez más en boca de los líderes del sector periodístico. Sin embargo, dada la opacidad y el rápido desarrollo de esta tecnología, los periodistas deben considerar detenidamente sus ventajas, limitaciones y riesgos éticos antes de incorporarla a su práctica —además, deben aprendar cómo realmente funciona—.| The Open Notebook
As we kick off 2025, the IoT Analytics research team has evaluated last year’s top AI stories. This article highlights 10 of the most impactful developments as well as some general observations and developments in the field of AI in 2024. Since 2015, IoT Analytics has published an annual review of the top 10 IoT stories of the past year (the 2024 IoT review will be published next week). This year, for the first time, IoT Analytics is adding an AI review as well, as AI has become a centerpie...| IoT Analytics
We investigate four constraints to scaling AI training: power, chip manufacturing, data, and latency. We predict 2e29 FLOP runs will be feasible by 2030.| Epoch AI