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...
Collaborative framework contributed by Shenzhen Institute of Artificial Intelligence and Robotics for Society addresses robotics fragmentation and ensures cross-platform hardware interoperability Summary LF AI & Data Foundation welcomes AIRSEAI, an...
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...
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...
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...
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...
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...
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,...
New specification, supported by leading LF AI & Data member organizations IBM and Red Hat, as well as other organizations including ABBYY, complements the Docling open source project SAN FRANCISCO,...
