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

Machine learning (ML)-based approaches to system development employ a fundamentally different style of programming than historically used in computer science. This approach uses example data to train ...

Discover top laptops for machine learning in 2025: from RTX 5090 powerhouses to budget-friendly RTX 4060 options, find your perfect ML rig.!

A data privacy expert explains how machine learning algorithms draw inferences and how that leads to privacy concerns.

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

MLPerf Inference launched 6/24/19: New Machine Learning Inference Benchmarks Assess Performance Across a Wide Range of AI Applications ...

A machine learning (ML) model, which is the foundation of chatbots such as ChatGPT and Gemini, requires a training phase. After the AI neural network architecture is designed and programmed, the ...

Meet MLPerf, a benchmark for measuring machine-learning performance MLPerf benches both training and inference workloads across a wide ML spectrum.

Google announced updates to its Cloud AI Platform that enhance training and prediction capabilities of machine learning and deep learning models.