Sustainable generative AI: UCLA develops novel light-based system
Today’s popular chatbots and image generators have a severe downside for the environment.
These examples of generative artificial intelligence leave a substantial carbon footprint due to outsized energy demands. At the same time, the large amount of water used to cool the equipment behind generative AI depletes a finite resource that humans, other animals and plants need in order to survive. Additionally, running such models requires massive computational infrastructure, raising concerns about their long-term sustainability.
Now, researchers at the UCLA Samueli School of ...