Super Interesting Paper!
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Super Interesting Paper!
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Proposes a neural network NWM (Neural Wave Machine which are basically Oscillatory RNNs) that can learn to produce traveling waves in their hidden state in response to visual stimuli, thus enabling the transfer and integration of spatial information across neural connections. In other words they showed that neural networks have wave-like properties that blends and processes visual information over time, cool seeing a union of AI and physics in this way.
text
Proposes a neural network NWM (Neural Wave Machine which are basically Oscillatory RNNs) that can learn to produce traveling waves in their hidden state in response to visual stimuli, thus enabling the transfer and integration of spatial information across neural connections. In other words they showed that neural networks have wave-like properties that blends and processes visual information over time, cool seeing a union of AI and physics in this way.
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Paper: 
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Paper: 
https://arxiv.org/pdf/2502.06034
https://arxiv.org/pdf/2502.06034
link
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Code: 
text
Code: 
https://github.com/KempnerInstitute/traveling-waves-integrate
https://github.com/KempnerInstitute/traveling-waves-integrate
link
Super Interesting Paper!
Proposes a neural network NWM (Neural Wave Machine which are basically Oscillatory RNNs) that can learn to produce traveling waves in their hidden state in response to visual stimuli, thus enabling the transfer and integration of spatial information across neural connections. In other words they showed that neural networks have wave-like properties that blends and processes visual information over time, cool seeing a union of AI and physics in this way.
Paper: https://arxiv.org/pdf/2502.06034
Code: https://github.com/KempnerInstitute/traveling-waves-integrate
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