Neuroevolution-Enhanced Multi-Objective Optimization (NEMO) for Mixed-Precision Quantization delivers state-of-the-art compute speedups and memory improvements for artificial intelligence (AI) applications.
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Neural networks news
Intel NN News
- In-production AI Optimization Guide for Xeon: Search and Recommendation Use Case
In this guide, you'll learn multiple aspects of optimizing the Search and Recommendation model […]
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Researchers at the U.S. Department of Energy’s (DOE) Argonne National Laboratory introduce AERIS, […]
- Argonne’s Aurora Supercomputer Drives Simulations to Explore How Light Shapes Quantum Materials
Researchers using the Aurora supercomputer at the U.S. Department of Energy’s Argonne National […]
- In-production AI Optimization Guide for Xeon: Search and Recommendation Use Case
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