Tackling traditional and AI computing challenges with FPGA accelerators

The equipment purchased with these funds allows the exploration of novel solutions to the need for fast computing in experimental particle physics and beyond.

Its immediate application will be to the problem of identifying signatures of particles traversing detectors in high energy physics experiments, however similar

techniques are relevant in disparate fields such as medical imaging, the processing of digital images and the identification of genetic sequences and markers in laboratory samples.