  The RHIC interaction rate at sPHENIX will reach around 3 MHz in pp collisions
and requires the detector readout to reject events by a factor of over 200 to
fit the DAQ bandwidth of 15 kHz. Some critical measurements, such as heavy
flavor production in pp collisions, often require the analysis of particles
produced at low momentum. This prohibits adopting the traditional approach,
where data rates are reduced through triggering on rare high momentum probes.
We explore a new approach based on real-time AI technology, adopt an FPGA-based
implementation using a custom designed FELIX-712 board with the Xilinx Kintex
Ultrascale FPGA, and deploy the system in the detector readout electronics loop
for real-time trigger decision.
