Why AI Researchers Are Suddenly Obsessed With Whirlpools (Ep. 293)

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

https://samim.io/p/2025-01-18-vortextnet/