📢New paper out in APL Computational Physics!
We present #EasyAttention: a new transformer mechanism for chaotic systems.
✅ No queries, keys or softmax
✅ More robust & efficient
✅ Outperforms self-attention & LSTMs in Lorenz, turbulence & reactors!!
👉 doi.org/10.1063/5.0284…
Tons of environments to benchmark on. Particularly interested in how the current frontier is performing on physics-based tasks/derivations on PHYbench.
Gemini 2.5 pro was sota in their tests. arxiv.org/pdf/2504.16074
Tons of environments to benchmark on. Particularly interested in how the current frontier is performing on physics-based tasks/derivations on PHYbench.
Gemini 2.5 pro was sota in their tests. arxiv.org/pdf/2504.16074 https://t.co/nUHXx5fdtb
Saying that deep learning is "just a bunch of matrix multiplications" is about as informative as saying that computers are "just a bunch of transistors" or that a library is "just a lot of paper and ink."
It's true, but the encoding substrate is the least important part here.…
Nous Research presents Hermes 4, our latest line of hybrid reasoning models.
hermes4.nousresearch.com
Hermes 4 builds on our legacy of user-aligned models with expanded test-time compute capabilities.
Special attention was given to making the models creative and interesting to…
📢 PRFluids Editors' suggestion: A new data-driven method simultaneously infers flow fields and obstacle shapes from sparse measurements in steady-state supersonic flows. By optimizing a discrete loss with JAX-Fluids, it achieves accurate, robust results.
go.aps.org/46POGQ8
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