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Google, Purdue & Harvard U’s Open-Source Framework for TinyML Achieves up to 75x Speedups on FPGAs
Jan. 12, 2022, 3:27 p.m. | Synced
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A research team from Google, Purdue University and Harvard University presents CFU Playground, a full-stack open-source framework for the rapid and iterative design of accelerators for embedded ML systems, enabling developers with minimal FPGA and hardware experience to achieve model speedups of up to 75x.
The post Google, Purdue & Harvard U’s Open-Source Framework for TinyML Achieves up to 75x Speedups on FPGAs first appeared on Synced.
ai artificial intelligence framework google harvard machine learning machine learning & data science ml research technology tinyml
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