(Replying to PARENT post)

Are there any interesting modern applications of diff. equations in computer science outside physics simulators, and 3d vision? Or some adjacent areas that would benefit from skillset of working with diff. equations?

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(Replying to PARENT post)

Optimization by gradient descent is used to do the learning in deep learning. For example, diff eqs are used to create optimizers that improve upon the classic 'adam' say, such as the new 'sophia' [1]. 1. https://arxiv.org/abs/2305.14342

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