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that can be used at speeds that are orders of magnitude faster than current CMOS technology. In order to demonstrate the computational power of so-called synchronised stochasticity for approximate Bayesian
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will develop and analyse a new class of Markov chain Monte Carlo algorithms (such as Gibbs Sampling and Metropolis-Hastings) that make use of a novel technology that is currently only available in
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focuses on integration of the developed technology into a sensor. For the success of the programme, a close collaboration between the two projects and with the other project partners is crucial. Besides the
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