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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.

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Physics-Inspired AI Model Revolutionizes Advanced Pattern Generation

Physics-Inspired AI Model Revolutionizes Advanced Pattern Generation
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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.

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From physics to generative AI: An AI model for advanced pattern generation

From physics to generative AI: An AI model for advanced pattern generation
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In 2022 and 2023, Fourteen MIT School of Science Professors Receive Tenure

In 2022, nine MIT faculty were granted tenure in the School of Science:Gloria Choi examines the interaction of the immune system with the brain and the effects of that interaction on neurodevelopment, behavior, and mood. She also studies how social b

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