LF AI & Data Foundation Adds AIRSEAI Embodied AI Project
The LF AI & Data Foundation announced in a press release that AIRSEAI, an open source embodied AI project initiated by the Shenzhen Institute of Artificial Intelligence and Robotics for Society, has joined the foundation. AIRSEAI is designed to support interoperability across robotics hardware, software, datasets, and AI models.
The project provides a modular framework for testing and deploying robotic intelligence across different hardware architectures. LF AI & Data said AIRSEAI is intended to reduce dependence on proprietary robotics platforms and hardware specific software stacks.
AIRSEAI's roadmap includes modular single robot intelligence, dual arm manipulation based on data, and collective adaptive intelligence. The announced AIRSEAI 2.0 work includes vision based tactile sensing and an elastic model zoo, while planned AIRSEAI 3.0 updates are intended to support coordination among different robots in distributed environments.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Robotics Brief or Daily AI Brief.
Also, consider following us on social media:
More from Robotics
Oct 16 Rareview and Tuttle Launch Humanoid Robotics ETF HOID Oct 16 Element to Manage Waymo's Toronto Fleet for 2028 Launch Oct 16 RoboParty launches open source RP1 humanoid robot Oct 16 Jodell Robotics Unveils Dexterous Hand and Tactile Sensors Oct 16 Saab Completes Sea Trials of Large Uncrewed Underwater VehicleRobotics Brief
Weekly coverage of AI-driven robotics advances in industrial automation, autonomous vehicles, and robotic systems.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
FF EAI Robotics Showcases Robots and Developer Platform at IROS 2026
Beijing Forum Unveils Embodied AI Data Platform
Silicon Labs Expands AI Developer Tools for IoT
Thread AI and US Army Develop AI Research Tool for Fire Control
AirMatrix Gets Canadian Funding for Airspace AI Research
Daily AI Brief: the AI news that matters, in your inbox.