Applied Mathematics Seminar
Engineering and Physical Sciences Building, 126 or 127
Prof. Colin Fox from University of Otago, New Zealand will present "Monitoring milk-powder dryers via Bayesian inference in an FPGA"
The Electronics group at Otago is developing several technologies aimed at sensors that measure flow of milk powder using capacitance tomography (ECT) by sample-based Bayesian inference. Our approach is to use accelerated Gibbs sampling from the posterior distribution, and produce estimates in real time by embedding the calculation in hardware. I will discuss several of the steps: efficient Gibbs sample in ECT, polynomial acceleration of that MCMC, and the compiler to implement this calculation in an FPGA.
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