BatMan: Mitigating Batch Effects Via Stratification for Survival Outcome Prediction Real-world data (RWD) derived from electronic health records (EHRs) are often used to understand population-level ...
IEEE Spectrum on MSN
Machine Learning Tests Keep Getting Bigger
The machine learning field is moving fast, and the yardsticks used measure progress in it are having to race to keep up. A case in point, MLPerf, the bi-annual machine learning competition sometimes ...
Machine learning algorithms are widely used for decision making in societally high-stakes settings from child welfare and criminal justice to healthcare and consumer lending. Recent history has ...
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SAN FRANCISCO – September 8, 2022 – Today, the open engineering consortium MLCommons announced results from MLPerf Inference v2.1, which analyzes the performance of inference — the application of a ...
SAN FRANCISCO--(BUSINESS WIRE)--Today, MLCommons®, the leading open AI engineering consortium, announced new results from the industry-standard MLPerf™ Inference v3.0 and Mobile v3.0 benchmark suites, ...
Machine learning systems face a new class of security threats—sophisticated attacks that target the very foundation of how ...
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