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

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.

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

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 inference is behind everything from the latest generative AI chatbots to safety features in vehicles such as automatic lane-keeping, and speech-to-text interfaces.

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 ...

First-party PlayStation studio Haven will utilize the PlayStation 5's machine learning inference technology for its live games.