Shypd.aiThe largest open index of AI toolsNeural-Networks-on-Silicon is a Research & Education tool that provides a curated collection of research papers on neural network accelerators. It serves as a valuable resource for deep learning and computer architecture studies.
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Neural-Networks-on-Silicon is a comprehensive GitHub repository maintained by Fengbin Tu, an Assistant Professor at The Hong Kong University of Science and Technology. It serves as a curated collection of research papers focusing on neural network accelerators, deep learning, and computer architecture. The repository organizes papers by conference and year, spanning from 2014 to 2026, offering a historical and forward-looking perspective on the field. It's an invaluable resource for academics, researchers, and students interested in AI chip and system design, providing insights into the latest advancements and foundational works in this rapidly evolving domain.
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