LF AI & Data

From Single-Robot Skills to Collective Intelligence: An Evolutionary Path for Embodied AI through AIRSEAI

By Shaoshan Liu When people discuss the future of embodied AI, the conversation often jumps directly to the most visually compelling destination: a general-purpose humanoid robot capable of performing almost...

Egeria 6.0: Doing More With Half the Footprint

By Mandy Chessell, Egeria Project Leader, Pragmatic Data Research (PDR) Ltd Part 1 of a four-part series on recent work in the Egeria project, an LF AI & Data project for open...

Milvus Snapshots: Point-in-Time Collection Views Without Copying Data

Milvus 3.0 Is Here: LF AI & Data’s Open Source Vector Database Goes Lake-Native

What is Milvus 3.0? Milvus 3.0 is the newest major release of Milvus, the open source vector database hosted at LF AI & Data. It is the largest architectural update...

Why AI Safety in Regulated Industries Requires a Fundamentally New Playbook

By Anca Sailer, Vikas Agarwal, Thalia Hooker | Co-Authors, AI Safety Best Practices for Regulated Environments After more than a year of collaboration across IBM, Red Hat, and a dozen...

Building the Context Layer for AI, in the Open

By Peter W. J. Staar, Chair of LF AI & Data Foundation Technical Advisory Council AI is reaching the point where infrastructure matters as much as models. The decisions we...

ONNX Issues v1.22.0 Release With Attention Operators for Generative AI, WebAssembly Support, and Modernized Tooling

Author: Dr. Andreas Fehlner, ONNX Steering Committee The ONNX (Open Neural Network Exchange) community is proud to announce the release of ONNX v1.22.0, a landmark update that cements ONNX’s role...

Join Generative AI Commons at UN Open Source Week 2026

The Generative AI Commons, a working group of LF AI & Data, will participate in several events during UN Open Source Week 2026 in New York City from June 22–26,...