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How can MIT’s community leverage generative AI to support learning and work on campus and beyond?At MIT’s Festival of Learning 2024, faculty and instructors, students, staff, and alumni exchanged perspectives about the digital tools and innovations t
At MIT’s Festival of Learning 2024, faculty, instructors, and students shared how they’re leveraging technologies like generative AI in the classroom. Panelists stressed the importance of iteration and teaching students how to develop critical thinking skills.
MIT researchers have unveiled an innovative AI model that merges principles of diffusion and Poisson Flow.
Drawing inspiration from physics, a new Poisson Flow Generative Model ++ (PFGM++) integrates diffusion and Poisson Flow principles, outperforming existing diffusion models in advanced image generation. This breakthrough in generative AI taps into both the complexity of electric fields and the simplicity of diffusion to create realistic patterns and images with potential applications spanning multiple domains.
Brian Nord, an MLK Visiting Scholar in the MIT Laboratory for Nuclear Science, trains machines to explore the cosmos and fights for equity in research.