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  • Massachusetts Institute of Technology - MIT News
    Researchers present bold ideas for AI at MIT Generative AI Impact Consortium kickoff event Presentations targeted high-impact intersections of AI and other areas, such as health care, business, and education
  • Explained: Generative AI’s environmental impact - MIT News
    MIT News explores the environmental and sustainability implications of generative AI technologies and applications
  • 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
  • Algorithms and AI for a better world - MIT News
    MIT Assistant Professor Manish Raghavan uses computational techniques to push toward better solutions to long-standing societal problems
  • How we really judge AI - MIT News
    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
  • 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
  • Graph-based AI model maps the future of innovation - MIT News
    The new AI approach uses graphs based on methods inspired by category theory as a central mechanism to understand symbolic relationships in science This Illustration shows one such graph and how it maps key points of related ideas and concepts
  • Explained: Generative AI - MIT News
    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
  • “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





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