Showing 1–10 of 10 results
/ Date/ Name
Apr 21, 2026Design Rules for Extreme-Edge Scientific Computing on AI EnginesFeb 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 ApplicationsMar 31, 2023Pentimento: Data Remanence in Cloud FPGAsJan 18, 2023Tailor: Altering Skip Connections for Resource-Efficient InferenceJun 23, 2022Open-source FPGA-ML codesign for the MLPerf Tiny BenchmarkDec 8, 2021Neural Network Quantization for Efficient Inference: A SurveyOct 25, 2021Applications and Techniques for Fast Machine Learning in ScienceFeb 2, 2021Hardware-efficient Residual Networks for FPGAs