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

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

AI infrastructure startup FriendliAI looks to address the growing demand for faster AI inference in production environments ...

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 ...

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.

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 ...

A research team led by Jian Ma, the Ray and Stephanie Lane Professor of Computational Biology in Carnegie Mellon University's School of Computer Science, has developed a machine learning tool to ...

Myrtle.ai, a recognized leader in accelerating machine learning inference, today released support for its VOLLO® inference accelerator on the AMD Alveo™ V80 compute accelerator card.