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Fix small typo in README.md #212

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Fix small typo in README.md #212

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Expand Up @@ -53,7 +53,7 @@ Check our [docs](https://torchdyn.readthedocs.io/) for more information.

Interest in the blend of differential equations, deep learning and dynamical systems has been reignited by recent works [[1](https://arxiv.org/abs/1806.07366),[2](https://arxiv.org/abs/2001.04385), [3](https://arxiv.org/abs/2002.08071), [4](https://arxiv.org/abs/1909.01377)]. Modern deep learning frameworks such as PyTorch, coupled with further improvements in computational resources have allowed the continuous version of neural networks, with proposals dating back to the 80s [[5](https://ieeexplore.ieee.org/abstract/document/6814892)], to finally come to life and provide a novel perspective on classical machine learning problems.

We explore how differentiable programming can unlock the effectiveness of deep learning to accelerate progress across scientific domains, including control, fluid dynamics and in general prediction of complex dynamical systems. Conversely, we focus on models powered by numerical methods and signal processing to advance the state of AI in classical domains such as vision of natural language.
We explore how differentiable programming can unlock the effectiveness of deep learning to accelerate progress across scientific domains, including control, fluid dynamics and in general prediction of complex dynamical systems. Conversely, we focus on models powered by numerical methods and signal processing to advance the state of AI in classical domains such as vision or natural language.

<p align="center">
<img src="https://github.com/DiffEqML/diffeqml-media/blob/main/animations/GalNODE.gif" width="200" height="200">
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