Patent Application Titled 'Method And System For Knowledge Transfer Between Diff erent Ml Model Architectures' Published Online (USPTO 20240296336)
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Abstract
Reporters obtained the following quote from the background information supplied by the inventors: “With the continuous advancement in machine learning, there ha s been a significant evolution in the fundamental structure of model architectur e. This evolution has resulted in the development and optimization of new archit ectures for machine learning (ML) model to enhance its performance. The availabi lity of larger and more diverse datasets has led to the development of more comp lex architectures that have significantly improved the performance of ML models in various tasks.
Key words
Acute-Phase Proteins/Beta-Globulins/Bl ood Proteins/Carrier Proteins/Cyborgs/Emerging Technologies/Iron-Binding Pro teins/Machine Learning/Patent Application/Proteins/Transferrin
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