Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
DeepX Announces Global Physical AI Mass Production Partnership with Aaeon
DeepX and Aaeon Technology have entered into a three-year manufacturing agreement to scale the integration of DeepX’s AI chips into industrial and edge computing systems. This collaboration was announced during Computex Taipei 2026 and aims to establish a commercialization pipeline for DeepX’s neural processing units (NPUs). The agreement will facilitate the incorporation of these advanced chips into Aaeon’s range of products, including industrial computers, single-board computers, and edge gateway devices. This partnership reflects a growing demand for enhanced AI capabilities in various computing applications, positioning both companies to capitalize on the expanding market for intelligent edge solutions.
AI AI Funding & Investment AI Infrastructure & Compute Robotics Aaeon Technologies DEEPX
DEEPX and Hyundai Motor Group Robotics LAB Partner to Develop Next-Generation Physical AI Compute Platform for Robotics
A new collaboration has been announced to enhance robotic AI infrastructure, focusing on the development of DX-M2-based technologies. This initiative aims to expand into VLA (Vision-Language-Action) and VLM (Vision-Language-Model) technologies, which are crucial for the advancement of next-generation intelligent robots. The partnership, involving key players in the robotics and AI sectors, seeks to leverage cutting-edge research and innovation to improve the capabilities of robotic systems. By integrating these advanced technologies, the collaboration aims to create robots that can better understand and interact with their environments, ultimately leading to more efficient and versatile applications in various industries. The project is set to unfold over the coming months, with initial developments expected to be showcased by early 2024. This strategic move is driven by the growing demand for intelligent automation solutions that can enhance productivity and address complex tasks across multiple sectors.
