In membership inference attacks, the adversary can work back from the machine learning algorithm to discover the training data used.

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 ...

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 ...

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 shows how our brains achieve this by ...

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 ...

Machine learning (ML) methods enable researchers to extract characteristics from unstructured clinical notes, and represent a more cost-effective and scalable approach than manual expert abstraction.

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 ...

CAMBRIDGE, England, Aug. 6, 2025 /PRNewswire/ -- Myrtle.ai, a recognized leader in accelerating machine learning inference, today released support for its VOLLO® inference accelerator on the ...

Today, the open engineering consortium MLCommons® announced fresh results from MLPerfTM Inference v2.1, which analyzes the performance of inference - ...

These three benchmark suites measure the performance of inference - applying a trained machine learning model to new data.