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Machine learning’s impact on technology is significant, but it’s crucial to acknowledge the common issues of insufficient training and testing data.
When testing machine learning systems, we must apply existing test processes and methods differently. Testing should be independent and have a fresh approach to any code or functionality.
Openlayer Inc., the creator of a novel platform for testing artificial intelligence and machine learning models, said today it has closed on a $4.8 million seed funding round.
Identification of the optimal machine learning pipelines and external validation results. The performance of best performing pipelines in the external validation cohort of 726 patients in comparison ...
Researchers integrated machine learning with multi-tiered validation to identify FDA-approved non-lipid-lowering drugs with lipid-modifying potential. From 3,430 drugs screened, 29 candidates ...
Epic launched an open source tool on Wednesday to enable healthcare organizations to test and monitor artificial intelligence models. The AI validation software suite is free and available to the ...
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