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MIT Community Explores Generative AI in Teaching and Learning Experiments

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

MIT faculty, instructors, students experiment with generative AI in teaching and learning

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 Merges Physics and AI for Image Generation With Poisson Flow Generative Model++

MIT researchers have unveiled an innovative AI model that merges principles of diffusion and Poisson Flow.

Physics-Inspired AI Model Revolutionizes Advanced Pattern Generation

From physics to generative AI: An AI model for advanced pattern generation | MIT News | Massachusetts Institute of Technology

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.