The tree is rebuilt every frame. For scenes of this scale, quadtree construction is fast enough to rebuild from scratch each frame, though larger simulations may benefit from incremental updates. Each particle queries its neighborhood for potential collisions, typically checking only 5 to 15 candidates instead of all 40. Red highlights indicate colliding pairs.
Machine learning is also increasingly helpful for sifting through and categorising huge amounts of data. This can help to create early warnings about risks of fraudulent or unsafe food.
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