We have a fully funded Postdoctoral Fellowship available for 2017-2019 : (see the overview and the project presentation )
The development of modern computers is mainly based on increase of performances and decrease of size and energy consumption. This incremental evolution is notable, but it involves no notable modification of the basic principles of computation. In particular, all the components perform deterministic and exact operations on sets of binary signals. These constraints obviously impede further sizable progresses in terms of speed, miniaturization and power consumption. As detailed below, the goal of the MicroBayes project is twofold:
We will evaluate stochastic machines on difficult Bayesian inference problems. Moreover we will demonstrate the interest and feasibility of stochastic computing on two applications involving low-level information processing from sensor signals. The given application are sound source localization and separation as shown below: