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Learn about benchmarking AI compilers for TinyML applications in this conference talk from tinyML Asia 2023. Explore how AI models can be effectively deployed on microcontroller units (MCUs) despite their energy and resource constraints. Discover Skymizer's contributions to MLPerf Tiny v1.1 benchmarking using MCUs from Nuvoton and STMicrocontroller, demonstrating the capabilities of their ONNC AI compiler. Gain insights into the MLPerf Tiny benchmark process, understand compiler-based optimization techniques for hardware-specific AI models, and explore future benchmark designs for the growing TinyML market. Master the intersection of machine learning and tiny devices while learning about performance metrics, energy efficiency considerations, and memory optimization strategies for embedded AI applications.
