  A new FPGA-based low-level trigger processor has been installed at the NA62
experiment. It is intended to extend the features of its predecessor due to a
faster interconnection technology and additional logic resources available on
the new platform. With the aim of improving trigger selectivity and exploring
new architectures for complex trigger computation, a GPU system has been
developed and a neural network on FPGA is in progress. They both process data
streams from the Ring Imaging Cherenkov detector of the experiment to extract
in real time high level features for the trigger logic. Description of the
systems, latest developments and design flows are reported in this paper.
