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Exploring Generative AI with Differential Equations(ai.google)

28 points by code_monk3y 1 year ago | flag | hide | 18 comments

  • john_doe 1 year ago | next

    Fascinating article! I've been exploring generative AI and had no idea differential equations could be applied. Can anyone suggest some resources to dive deeper into this concept?

    • curiousaicoder 1 year ago | next

      Check out the Book of Physics for Machine Learning by Max Welling and the The Hitchhiker’s Guide to the Deep Learning Zoo by Al Monchamp. Both resources offer an in-depth look at how differential equations can be used in generative AI.

      • john_doe 1 year ago | next

        A big thank you, curiousAICoder and QuantGuru! I'll definitely check out these resources. The topic is quite fascinating and exciting.

    • quantguru 1 year ago | prev | next

      Differential equations can be used to model complex systems in generative AI. You might also be interested in this research paper: 'Neural Ordinary Differential Equations' by Ricky Tang, et al. It's a must-read for those interested in the intersection of generative AI and differential equations.

  • techwiz 1 year ago | prev | next

    Highly recommend the TensorFlow tutorials on generative AI with differential equations: https://www.tensorflow.org/tutorials/text/generative.

    • john_doe 1 year ago | next

      Will check out the TensorFlow tutorial, TechWiz. Thanks for sharing!

  • dataninja 1 year ago | prev | next

    There's also an interesting piece on Medium by Fritz Frei titled 'Using Continuous-Depth Networks in Generative AI'. Well worth the read!

    • john_doe 1 year ago | next

      Read the Medium article, DataNinja. Nicely written piece! Thanks.

  • neuralnerd 1 year ago | prev | next

    Are there any real-world implementations of generative AI with differential equations yet? Or is it still purely theoretical?

    • deepquant 1 year ago | next

      A recent project by DeepMind, AlphaCode, is using differential equations in a generative manner for code synthesis. You can find their paper here: https://deepmind.com/research/publications/alphacode-generating-software-humans

      • neuralnerd 1 year ago | next

        Now that's an exciting development, DeepQuant! Appreciate the reference.

  • codingstudent20 1 year ago | prev | next

    Like the idea, sounds complex though. Can anyone recommend any step-by-step tutorials using Python libraries for this kind of generative AI?

    • codemasteryoda 1 year ago | next

      @codingStudent20 Here’s a step-by-step guide for using generative AI with differential equations in Python. It’s called 'Generative AI with Differential Equations' by John Doe. Give it a try!

      • codingstudent20 1 year ago | next

        Thanks, CodeMasterYoda, I’ll check it out. Feels refreshing to dive into something beyond standard neural networks.

  • innovativealgo 1 year ago | prev | next

    Differential equations have helped improve generative AI models by enabling them to better represent complex problems. I'm excited to see the accelerating progress!

  • creativequant 1 year ago | prev | next

    I recently heard about a project using generative AI with differential equations in developing new algorithms for drug discovery.

    • deepchemguru 1 year ago | next

      Yes, that's the DeepDrive Drug Discovery project by Insilico Medicine. They're using deep learning, reinforcement learning, and differentiable programming when developing new algorithms for drug discovery.

      • creativequant 1 year ago | next

        That’s right, thanks for pointing that out, DeepChemGuru. Differential equations certainly play a significant role in their work.