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 ...

SAN FRANCISCO--(BUSINESS WIRE)--Today, the open engineering consortium MLCommons ® announced fresh results from MLPerf TM Inference v2.1, which analyzes the performance of inference - the application ...

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 ...

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 ...

After returning to his research group at the Vrije Universiteit in Brussels, Muheki began to extract data from the more than ...

Both humans and other animals are good at learning by inference, using information we do have to figure out things we cannot observe directly. New research from the Center for Mind and Brain at the ...

Machine learning systems face a new class of security threats—sophisticated attacks that target the very foundation of how ...

SAN FRANCISCO--(BUSINESS WIRE)--Today MLCommons™, an open engineering consortium, released new results for three MLPerf™ benchmark suites - Inference v2.0, Mobile v2.0, and Tiny v0.7. These three ...

SAN FRANCISCO – April 6, 2022 – Today MLCommons, an open engineering consortium, released new results for three MLPerf benchmark suites – Inference v2.0, Mobile v2.0, and Tiny v0.7. MLCommons said the ...