Huawei Habo has made a major investment. It is targeting physical artificial intelligence (AI). The investment is in GigaAI, a fast-growing startup. GigaAI focuses on world-model-based general intelligence. This move expands Huawei’s capabilities. It targets embodied intelligence and next-generation autonomous technologies.
GigaAI’s technology is being tested already. Applications include autonomous driving and robotics. It also covers general embodied intelligence. The system uses a complete software-hardware ecosystem.
This is designed for physical intelligence. The GigaWorld platform supports advanced embodied systems. GigaBrain is a foundational model. It powers adaptive, world-model-based decision-making. The Maker General Embodied Ontology provides structured knowledge tools. These components create an end-to-end solution for complex environments.
Huawei’s investment is strategic. It aligns with a shift away from VLA (Vision-Language-Action) models. The new focus is a WA (World-Action) strategy. WA uses visual and physical signals. It controls intelligent agents.
It reduces dependence on language models. Jin Yuzhi, CEO of Huawei Intelligent Automotive Solutions BU, backs this strategy. It is key to Huawei’s long-term AI roadmap. Huawei supports GigaAI to accelerate world-model research. This will boost physical AI and embodied intelligence.
GigaAI recently closed its Series A1 funding round. It secured over one hundred million yuan. Huawei Habo Investment and Huakong Fund jointly led the round. This follows successful earlier funding rounds.
These developments will benefit everyday users. They could lead to safer autonomous vehicles. Home robots will become more capable. AI assistants will respond better to real-world scenarios.
Analysts predict a technological transition. This shift toward physical AI is significant. It could resemble the early smartphone era. Intelligent machines will enter daily life in practical ways.
GigaAI was founded in 2023. It is China’s first startup dedicated to world-model research for physical AI. Its mission is building intelligent systems. These systems can predict, adapt, and function in physical settings.
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