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Improving Reliability of Spiking Neural Networks through Fault Aware Threshold Voltage Optimization (Dependable Cyber-Physical Systems (DCPS) Lab) View |
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[VMCAI'23] SMT-Based Modeling and Verification of Spiking Neural Networks: A Case Study (ACM SIGPLAN) View |
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Lab-Grown (Ihm Curious) View |
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tinyML Research Symposium 2021 Poster: Deep Learning for Compute in Memory (EDGE AI FOUNDATION) View |
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[CICC 2021 Best Paper Award] A Ternary-weight Compute-in-Memory RRAM Macro (ICSRL GT) View |
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tinyML Summit 2021 Partner Session: System Level Energy Considerations for Battery Powered AI (EDGE AI FOUNDATION) View |
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tiny ML Summit 2021 tiny Talks: Compute-in-Memory Hardware Accelerator for Always-On TinyML (EDGE AI FOUNDATION) View |
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