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Neural Particle Automata

Neural Particle Automata

by esychology·Jun 23, 2026·13 points·2 comments

AI Analysis

●●●BangerWizardryZero to OneRabbit Hole

Grid-free neural cellular automata with regenerating particle morphologies you can interact with.

Strengths
  • Lagrangian formulation frees cells from fixed lattice positions entirely
  • Differentiable SPH operators enable scalable end-to-end training
  • Interactive demos show regeneration and morphogenesis in real-time
Weaknesses
  • Research prototype lacks production deployment tooling
  • CUDA kernel dependency limits accessibility for non-GPU users
Category
Target Audience

ML researchers, graphics programmers, computational artists

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Neural Cellular Automata · Smoothed Particle Hydrodynamics

Post Description

Neural CAs model self-organizing pattern formation on grids. Now the grid is gone. Each cell is an agentic particle that can move freely in space and change its state.

While each particle follows a simple shared rule, many together can grow complex morphologies or form intricate patterns. The resulting particle system as a whole can regenerate from damage and exhibits surprising emergent behavior.

Try cutting the lizard and watch it heal itself!

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