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edwardmagongo / QIANets-Website

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QIANets is a research project focused on leveraging quantum-inspired algorithms for efficient AI model compression. By integrating principles from quantum computing, QIANets aims to reduce model sizes while maintaining performance, enabling more scalable and energy-efficient AI systems. The research is recognized at NeurIPS 2024 ML and Compression.

research-contributions quantum-inspired-algorithms ai-model-compression neurips-2024-presentation algorithmic-framework
  • Updated Nov 2, 2024
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