Tech Xplore on MSN
Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...
News-Medical.Net on MSN
Global analysis uses machine learning to map drivers of cancer outcomes
For the first time, researchers have used machine learning – a type of artificial intelligence (AI) – to identify the most important drivers of cancer survival in nearly all the countries in the world ...
Researchers have turned artificial intelligence into a powerful new lens for understanding why cancer survival rates differ ...
A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data ...
Paulick Report on MSN
From Fragility To Foresight: Big Data Boosting Racehorse Safety
One major benefit of HISA was a national system that aggregates racehorse veterinary records into a single, searchable ...
Why Data Matters for AI Poor data quality and fragmented identity undermine predictive performance. TransUnion’s identity graph and enrichment capabilities provide the single source of truth AI ...
AiOpti Recognized for Deterministic Measurement Linking Media Exposure to Real-World Outcomes The real reward is seeing ...
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