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  • Artificial intelligence | MIT News | Massachusetts Institute of Technology
    AI supports the clean energy transition as it manages power grid operations, helps plan infrastructure investments, guides development of novel materials, and more
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    MIT News explores the environmental and sustainability implications of generative AI technologies and applications
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    Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a novel artificial intelligence model inspired by neural oscillations in the brain, with the goal of significantly advancing how machine learning algorithms handle long sequences of data AI often struggles with analyzing complex information that unfolds over long periods of time, such as
  • Exploring how AI will shape the future of work - MIT News
    What happens when AI begins making many of our decisions?” These are some of the questions MIT Sloan School of Management PhD candidate Benjamin Manning is researching Part of his work investigates how to design and evaluate artificial intelligence agents that act on behalf of people, and how their behavior shapes markets and institutions
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    A new study finds people are more likely to approve of the use of AI in situations where its abilities are perceived as superior to humans’ and where personalization isn’t necessary
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    What do people mean when they say “generative AI,” and why are these systems finding their way into practically every application imaginable? MIT AI experts help break down the ins and outs of this increasingly popular, and ubiquitous, technology
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    MIT Associate Professor Justin Reich is working to help k-12 educators by listening to and sharing their stories about AI in the classroom
  • AI tool generates high-quality images faster than state-of-the-art . . .
    A hybrid AI approach known as hybrid autoregressive transformer can generate realistic images with the same or better quality than state-of-the-art diffusion models, but that runs about nine times faster and uses fewer computational resources The new tool uses an autoregressive model to quickly capture the big picture and then a small diffusion model to refine the details of the image




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