PDF-Randomness Extractors Randomness extractors are functi

The original motivation for extractors was to simulate randomized algorithms with weak random sources as might arise in nature This motivation is still compelling but extractors have taken on a much wider signi64257cance in the years since they were. If drops quic kly with then pro cess hanges quic kly with time its time samples ecome uncorrelated er short erio of time Con ersely when drops slo wly with samples are highly correlated er long time Th us is measure of the rate of hange of with time If drops quic kly with then pro cess hanges quic kly with time its time samples ecome uncorrelated er short erio of time Con ersely when drops slo wly with samples are highly correlated er long time Th us is measure of the rate of hange of with time email mishraccmbresin National Centre for Cell Science Ganeshkhind Pune India email sanjeevnccsresin Mapping and sequencing of genomes from a large number of evolutionarily diverse species in the past decade revealed that sequence per se is not su64 . device. independent . randomness. . amplification. with . few. devices. F.G.S.L Brandao. 1. , R. . . Ramanathan. 2. . A. Grudka. 3. , K.. 4. , M.. 5. ,P.. 6. Horodeccy. 1. Department . of Computer Science, University College London. How can we draw the line?. Taner Edis. Department . of Physics,. . Truman . State . University. Supernatural fiction. Stories of ghosts, gods, spirits, magic, the occult.. Personality and agency (“spirit”) somehow fundamental to how the world works.. Dr. X. Topics. What Does Randomness Mean?. Randomness in . games. Generating Random Values. Random events in real life: measuring . randomness. What is Randomness?. Unpredictability?. Does it characterize a single event or a sequence of events?. and Applications. Divesh. . Aggarwal. *. Yevgeniy. . Dodis. *. Tomasz . Kazana. **. Maciej Obremski **. Non-Malleable Codes from Two-Source Extractors. 1. * New . York . University. ** University . minimal. assumptions. needed for. infinite. randomness . expansion?. Henry Yuen . (MIT). Stellenbosch, South Africa. 27 October 2015. 0. 1. 1. 0. 1. 1. 0. 1. 0. 1. 0. 0. 1. 1. 1. 0. 1. 0. 1. 1. 1. 0. Shachar. Lovett (IAS). Coding, Complexity and . Sparsity. workshop. August 2011. Overview. Pseudo-randomness – what? why?. Concrete examples. Local independence. Expander graphs. Small space computations. Benjamin Fuller. , . Xianrui. . Meng. , and Leonid Reyzin. December 2, 2013. Key Derivation from Noisy Sources. Physically . Unclonable. Functions (PUFs). Biometric Data. Goal of this talk: provide meaningful security for more sources. Randomness. ？. 隨機是指缺乏模式及可預測性的. 事件. e.g.. . 擲骰、六合彩、粒子運動等. 甚麼是機率. Probability. ？. 機率是用以描述隨機事件結果的數學. With gratitude to the John Templeton Foundation who supported this project but is not responsible for its content. . “… if purpose is part of this universe, then randomness, by definition, is not possible. This is also one of the rationales for religious opposition to evolution, where, according to theory, (non-random) selection is applied to the results of random genetic variation.” . Nava . Schulmann. 13/04/2015. Past. I have a Ph.D. in Physics focused on elastic properties of polymers.. Present. I am a post-doctoral . fellow at . the . Science-Teaching department of the Weizmann Institute of Science, Israel. 4. Interpret probability as a long-run relative frequency. . Dispel . common myths about randomness.. Use . simulation to model chance behavior.. Randomness, Probability, and Simulation. Randomness, Probability, and Simulation.