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  • Artificial intelligence | MIT News | Massachusetts Institute of Technology
    The brain power behind sustainable AI PhD student Miranda Schwacke explores how computing inspired by the human brain can fuel energy-efficient artificial intelligence
  • Explained: Generative AI’s environmental impact - MIT News
    MIT News explores the environmental and sustainability implications of generative AI technologies and applications
  • “Periodic table of machine learning” could fuel AI discovery
    After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, MIT researchers organized them into a “periodic table of machine learning” that can help scientists combine elements of different methods to improve algorithms or create new ones
  • Novel AI model inspired by neural dynamics from the brain
    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
  • Explained: Generative AI | MIT News | Massachusetts Institute of Technology
    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
  • 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
  • MIT researchers introduce generative AI for databases
    Researchers from MIT and elsewhere developed an easy-to-use tool that enables someone to perform complicated statistical analyses on tabular data using just a few keystrokes Their method combines probabilistic AI models with the programming language SQL to provide faster and more accurate results than other methods
  • What does the future hold for generative AI? - MIT News
    Hundreds of scientists, business leaders, faculty, and students shared the latest research and discussed the potential future course of generative AI advancements during the inaugural symposium of the MIT Generative AI Impact Consortium (MGAIC) on Sept 17
  • New AI agent learns to use CAD to create 3D objects from sketches
    VideoCAD, a new AI model that uses CAD software much like a human would, lowers the barrier to entry for design, helping people without years of CAD training to create 3D models more easily
  • Introducing the MIT Generative AI Impact Consortium
    The MIT Generative AI Impact Consortium is a collaboration between MIT, founding member companies, and researchers across disciplines who aim to develop open-source generative AI solutions, accelerating innovations in education, research, and industry





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