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This paper proposes an oscillatory neural network (ONN) based solver for Sudoku puzzles by formulating them as graph coloring problems, achieving high accuracy on 4x4 and 9x9 puzzles.
Unconventional AI introduces Un-0, the first large-scale generative model built on physics as a compute primitive, using coupled oscillators to generate images with competitive quality while promising dramatically improved energy efficiency.