Vijay Gadepally, a senior personnel member at MIT Lincoln Laboratory, leads a variety of projects at the Lincoln Laboratory Supercomputing Center (LLSC) to make computing platforms, asteroidsathome.net and the artificial intelligence systems that run on them, more efficient. Here, Gadepally discusses the increasing usage of generative AI in daily tools, its hidden ecological effect, and some of the manner ins which Lincoln Laboratory and the greater AI community can decrease emissions for a greener future.
Q: What patterns are you seeing in regards to how generative AI is being utilized in computing?
A: Generative AI uses maker learning (ML) to create new material, like images and text, based upon data that is inputted into the ML system. At the LLSC we design and build some of the biggest scholastic computing platforms on the planet, and over the previous couple of years we have actually seen a surge in the variety of tasks that require access to high-performance computing for generative AI. We're also seeing how generative AI is altering all sorts of fields and domains - for example, ChatGPT is already affecting the classroom and the office quicker than policies can seem to maintain.
We can envision all sorts of uses for generative AI within the next years or so, like powering extremely capable virtual assistants, developing new drugs and [forum.batman.gainedge.org](https://forum.batman.gainedge.org/index.php?action=profile
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Q&A: the Climate Impact Of Generative AI
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