If you’re a data scientist or you work with machine learning (ML) models, you have tools to label data, technology environments to train models, and a fundamental understanding of MLops and modelops.

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines.

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Modelops improves machine learning model development, testing, deployment, and monitoring. Follow these tips to keep model risks in check and increase the efficiency and usefulness of your ML ...

New JFrog Artifactory integration provides developers and data scientists with an Open Source Software solution to simplify and securely accelerate ML Model development JFrog Delivers Secure AI ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

University of Idaho receives over $6M in DoD grants to advance machine learning research for PTSD diagnosis and military ...