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hardware-based-rng

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AbsentisTempus / Anomaly-Detection-in-Random-Number-Generation

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This research proposes a device for generating and analyzing random single-digit numbers (0-9). It establishes statistical baselines and uses machine learning for real-time anomaly detection. The numbers are logged for audit trails, aiding in cryptography, data analysis, and simulations.

simulation simulations lucid-dreaming anomaly-detection random-number-generation consciousness-studies reality-checks-technique hardware-based-rng
  • Updated Dec 13, 2023

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