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We track research, AI models, data, and industry developments to bring you the technology stories that matter.

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Chatting with Wang Xiaofeng on Gigaworld-1: When World Models Become the Physical Referees for Embodied AI

As physical evaluation bottlenecks slow down embodied foundation model iteration, Flexiv and Tsinghua University release GigaWorld-1, using world models as evaluators to reduce reliance on real-world robot testing. Wang Xiaofeng discusses how this approach can accelerate development cycles.

Beyond Prediction: Xiaomi Turns World Models into Data Engines

Xiaomi has open-sourced U0, a 38B-parameter multimodal model that integrates five embodied synthesis functions. By treating embodied generation as a natural extension of foundation models rather than domain-specific fine-tuning, U0 acts as an expandable data engine, significantly enhancing robot generalization in real-world scenarios.

LimX Dynamics, Having Raised $400 Million in Half a Year, Accelerates IPO Timeline

Embodied AI unicorn LimX Dynamics announces a nearly $200 million Pre-IPO round, bringing its half-year total to $400 million and pushing its IPO process forward.

Moving Codex and CC into Robot Training? Zhu Yuke and Jim Fan’s Latest Work on Embodied Continuous Learning Systems

The new paper ASPIRE introduces a continuous learning system for embodied AI, where agents debug robot failures using execution traces, evolve solutions, and build reusable skill libraries.

The First Embodied AI Stocks in the US and China: What Routes Have Unitree and Agility Taken?

Agility Robotics and Unitree Technology represent two diverging paths for embodied AI commercialization. Agility focuses on specialized, vertical integration in logistics and manufacturing, while Unitree pursues a broad, horizontal hardware platform strategy to lower costs and expand ecosystems.

Behind the Unitree Controversy, NVIDIA's New Computing Power Business

NVIDIA is leveraging partnerships like the one with Unitree to build a "CUDA ecosystem" for robotics. By standardizing hardware interfaces and simulation tools, NVIDIA aims to turn embodied AI into a new, scalable demand for GPU computing power.

Nvidia Uses SimFoundry to Bridge the Last Mile of Robot Real2Sim

Nvidia and Stanford's Fei-Fei Li team released SimFoundry, an automated Real2Sim infrastructure that transforms real-world environments into high-fidelity simulations for scalable robot policy training.

KEMO: Equipping VLA with a 'Memory Plugin' Boosts Long-Horizon Task Performance by 23.6%

XDOF releases KEMO, an event-driven keyframe memory plugin for VLA models that improves long-horizon manipulation success rates by 23.6% without retraining the base model.

Xiaoyu ZhiZao's Qiao Zhongliang First Proposes 'Embodied Dividend', Three Technologies Launched Alongside First Welding Robot

At the 2026 Global Digital Economy Conference, Xiaoyu ZhiZao unveiled its first welding robot and three core technologies. CEO Qiao Zhongliang introduced the concept of 'Embodied Dividend,' defining it as using Embodied AI to create scalable silicon-based labor for heavy industrial tasks.

Infineon Deepens China Layout: Shanghai Innovation Space Officially Opens, Three Business Architecture Optimized

Infineon officially opens its Shanghai innovation space, reinforcing its 'In China, For China' strategy. The company optimizes its structure into three divisions—Automotive Electronics, Power Systems, and Terminal Intelligence—to address surging AI computing and power demands.