Bayesian Computing
Following up the work on novel hardware implementations of probabilistic computation, we will advance to more complex algorithms needed in robotics. The goal is to transfer soft programmable classification algorithms into hardware implementations. exploring the low-energy implementations to develop miniaturised embedded intelligent sensors. We will also address implementation and toolchain pipeline issues, so that reconfigurable logic and hardwired solutions can be used to more efficiently implement Bayesian machines.
Lead Researcher