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 ...
The latest trends in software development from the Computer Weekly Application Developer Network. All brands and companies have some kind of secret sauce: something that truly sets them apart. But can ...
Papers propose a technical framework for expressing and interpreting institutional authority in machine-readable form ...
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 ...
Fort Worth, TX. Hardware inference acceleration for machine learning was the topic of Rob A. Rutenbar, Bliss Professor and Head, Department of Computer Science, University of Illinois at ...
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 ...
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