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.
Sensor/algorithm co-design studies for smart pixel filtering: geometry, magnetic field, radiation damage, and noise.
In-pixel signal processing with integrated AI-based filtering for real-time data reduction in tracking detectors.
Performance characterization of the DarkQuest electromagnetic calorimeter and its readout electronics.