On-chip probabilistic inference for charged-particle tracking at the sensor edge
Tracking charged-particles at the sensor edge, using on-chip AI inference, under strict latency, precision, and area constraints.
Tracking charged-particles at the sensor edge, using on-chip AI inference, under strict latency, precision, and area constraints.
A deep dive into the regression models being developed for the HL-LHC era as part of the SmartPixels collaboration.
Sensor/algorithm co-design studies for smart pixel filtering: geometry, magnetic field, radiation damage, and noise.