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Everything about Jetson
Neural Network Pile-Up Resolution
The Super-MuSR spectrometer leverages a 1D convolutional neural network embedded in FPGA to resolve event pile-up in real time, outperforming classical deconvolution and enabling robust hit identification at gigacount rates.
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SPARTAN: Space Particle Tracking with Neural Networks
SPARTAN (SPace pARTicle trAcking with Neural-networks) is a PNRR-funded project that developed an innovative machine-learning-based system for tracking charged particles in space applications. By combining Graph Neural Networks, 2D Convolutional Neural Networks, and FPGA-based real-time inference, the project demonstrated the feasibility of intelligent on-board processing for future space missions under strict power and reliability constraints.
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