Edge AI

PQuant: Streamlining ML Model Compression to Deployment for Next-Gen Detector Systems featured image
Trigger & DAQ

PQuant: Streamlining ML Model Compression to Deployment for Next-Gen Detector Systems

PQuant/PQuantML: config-driven pruning + quantization pipeline (PyTorch/TensorFlow) with hardware-aware MDMM optimization; aimed at FPGA/ASIC deployment workflows (hls4ml …

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Arghya Ranjan Das
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SmartPixels

Sensor Co-design for smartpixels

Sensor/algorithm co-design studies for smart pixel filtering: geometry, magnetic field, radiation damage, and noise.

Danush shekar
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Edge AI

In-pixel integration of signal processing and AI/ML based data filtering for particle tracking detectors

In-pixel signal processing with integrated AI-based filtering for real-time data reduction in tracking detectors.

Benjamin parpillon
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