Vijay Gadepally, a senior team member at MIT Lincoln Laboratory, leads a number of projects at the Lincoln Laboratory Supercomputing Center (LLSC) to make computing platforms, and the artificial intelligence systems that run on them, more efficient. Here, Gadepally discusses the increasing usage of generative AI in everyday tools, its hidden environmental impact, and a few of the manner ins which Lincoln Laboratory and the greater AI neighborhood can minimize emissions for a greener future.

Q: wikibase.imfd.cl What patterns are you seeing in regards to how AI is being utilized in computing?

A: Generative AI utilizes device knowing (ML) to produce new content, like images and text, based upon data that is inputted into the ML system. At the LLSC we design and construct some of the largest scholastic computing platforms on the planet, and over the past couple of years we have actually seen a surge in the variety of projects that require access to high-performance computing for generative AI. We're likewise seeing how generative AI is changing all sorts of fields and domains - for [mariskamast.net](http://mariskamast.net:/smf/index.php?action=profile