VortexNet uses actual whirlpools to build neural networks. Seriously. 
By borrowing equations from fluid dynamics, this new architecture might solve deep learning's toughest problems—from vanishing gradients to long-range dependencies. 
Today we explain how vortex shedding, the Strouhal number, and turbulent flows might change everything in AI.
 
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References
<a href='https://samim.io/p/2025-01-18-vortextnet/'>https://samim.io/p/2025-01-18-vortextnet/</a>

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