Showing 1–20 of 27 results
/ Date/ Name
Apr 15, 2026Expected Sensitivity of the Light Dark Matter eXperiment to Long-Lived Dark Photons and Axion-Like ParticlesFeb 19, 2026Building an AI-native Research Ecosystem for Experimental Particle Physics: A Community VisionFeb 17, 2026On-chip probabilistic inference for charged-particle tracking at the sensor edgeDec 12, 2025AI Benchmark Democratization and CarpentryOct 8, 2025Sensor Co-design for $\textit{smartpixels}$Aug 15, 2025LDMX -- The Light Dark Matter eXperimentAug 11, 2025Sensitivity of an Early Dark Matter Search using the Electromagnetic Calorimeter as a Target for the Light Dark Matter eXperimentFeb 12, 2025Loss Landscape Analysis for Reliable Quantized ML Models for Scientific SensingJun 27, 2024Reliable edge machine learning hardware for scientific applicationsMar 13, 2024Architectural Implications of Neural Network Inference for High Data-Rate, Low-Latency Scientific ApplicationsDec 18, 2023Smartpixels: Towards on-sensor inference of charged particle track parameters and uncertaintiesOct 3, 2023Smart pixel sensors: towards on-sensor filtering of pixel clusters with deep learningAug 29, 2023Photon-rejection Power of the Light Dark Matter eXperiment in an 8 GeV BeamJun 7, 2023Differentiable Earth Mover's Distance for Data Compression at the High-Luminosity LHCJan 11, 2023Accelerating Machine Learning Inference with GPUs in ProtoDUNE Data ProcessingJun 23, 2022Open-source FPGA-ML codesign for the MLPerf Tiny BenchmarkJun 9, 2022Experiments and Facilities for Accelerator-Based Dark Sector SearchesMar 15, 2022Current Status and Future Prospects for the Light Dark Matter eXperimentMar 8, 2022Physics Opportunities for the Fermilab Booster ReplacementOct 25, 2021Applications and Techniques for Fast Machine Learning in Science