We are excited to welcome three new members to the LF AI Foundation – Xenonstack as a General member and in our Associate category we now have AI for People and Ambianic. Learn a bit more about these organizations:
Xenonstack
Xenonstack joins LF AI as a General member. In their own words: A Product Engineering, Technology Services and Consulting company building Intelligent Distributed Systems at Scale, AI, and Data-driven Decision Platforms and Solutions. We are enabling enterprises for Digital transformation with Cloud, Data and AI Strategy and Enterprise Agility.
AI for People
AI for People joins LF AI as an Associate member. In their own words: Our mission is to learn, pose questions and take initiative on how Artificial Intelligent technology can be used for the social good.
Our strategy is to conduct impact analysis, projects and democratic policies that act at the crossing of Artificial Intelligence and society. We are a diverse team of motivated individuals that is dedicated to bring AI Policy to the people, in order to create positive change in society with technology, through and for the public.
Ambianic
Ambianic joins LF AI as an Associate member. In their own words: Ambianic’s mission is to make our homes and workspaces a little cozier. Ambianic is an Open Source Ambient Intelligence platform that puts local control and privacy first. It enables users to train and share custom AI models without compromising privacy.
We look forward to partnering with these new LF AI Foundation members to help support open source innovation and projects within the artificial intelligence (AI), machine learning (ML), and deep learning (DL) space. Welcome to our new members!
Interested in joining the LF AI community as a member? Learn more here.
LF AI Resources
- Learn about membership opportunities
- Explore the interactive landscape
- Check out our technical projects
- Join us at upcoming events
- Read the latest announcements on the blog
- Subscribe to the mailing lists
- Follow us on Twitter or LinkedIn
- Access other resources on LF AI’s GitHub or Wiki
