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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.

MIT Scholars Secure Grants to Explore AI s Social Impact

MIT Scholars Secure Grants to Explore AI s Social Impact
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MIT scholars awarded seed grants to probe the social implications of generative AI

Following MIT President Sally Kornbluth’s call for proposals, 27 teams of MIT scholars have been selected to develop research papers analyzing the impact of generative AI on education, companionship, music, and more.

AI is Shaping the Future of Biomedicine With Artificially Engineered Proteins

AI is Shaping the Future of Biomedicine With Artificially Engineered Proteins
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