At Intel Labs, we believe that responsible AI begins with ensuring the integrity and transparency of ML systems, from model training to inferencing, making the ability to verify model lineage an essential foundation of ethical ML development.
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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, […]
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Researchers using the Aurora supercomputer at the U.S. Department of Energy’s Argonne National […]
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