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Interrupting encoder training in diffusion models enables more efficient generative AI
A new framework for generative diffusion models was developed by researchers at Science Tokyo, significantly improving ...
A new class of highly efficient and scalable quantum low-density parity-check error correction codes, capable of performance ...
Trained on quantum data, a new model makes computations more accurate while keeping computer costs low ...
Research on complex nonequilibrium processes and nonlinear dynamics has seen remarkable growth, revealing rich behavior across classical and quantum ...
Understanding singularities is key to resolving gaps in physics, with theories like string theory and causal set theory ...
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