# industrial AI
Latest news and articles about industrial AI
Total: 5 articles found
Geely Deepens NVIDIA Partnership to Build an AI Foundation for Next‑Generation Mobility
Geely has agreed with NVIDIA to deepen cooperation across physical, enterprise and industrial AI, integrating NVIDIA’s software and hardware stack into its assisted driving platform and using DRIVE AGX Hyperion for robotaxi development. The partnership targets vehicle intelligence, smart cabins, and factory optimisation and could accelerate Geely’s autonomy roadmap while raising supply‑chain and geopolitical tradeoffs.
China’s Zhou Hongyi: Multi‑Agent AI, Not Chatbots, Will Unlock Real‑World Deployment
Zhou Hongyi, founder of 360, warned that large models today are essentially chatbots and argued that industrial deployment of AI requires converting these models into autonomous agents that can coordinate with one another. He urged a focus on multi‑agent systems, infrastructure and integration to unlock real‑world applications across industries.
Chongqing Offers Millions to Drive Industrial AI: Grants for Data, Vertical Models and ‘Intelligent Agents’
Chongqing has launched a targeted subsidy programme to accelerate AI adoption in manufacturing, offering up to RMB5 million per project with specific rewards for industrial datasets, trusted data spaces and vertical AI models. The measures align municipal incentives with Beijing's national push for industrial AI, prioritising domain-specific data and applications while raising governance and coordination questions.
Zhejiang Builds an Offline Hub for China’s Largest Open‑Source AI Community — A Bet on Industrial AI
Zhejiang has opened a 10,000+ sqm developer centre in Hangzhou as the offline anchor for Moda, China’s largest open‑source AI community. Backed by Alibaba Cloud Valley and local government, the centre offers cheap co‑working, technical support for model deployment and a curated pipeline of industry pilot opportunities to accelerate industrial adoption of AI.
As Models Mature, Chinese AI Firms Put Data — Not Parameters — at the Centre of Industrialisation
At the 2026 AIGC Developers Conference, Hangzhou Cangjie Intelligent’s CEO argued that industrial AI’s bottleneck is data, not models. Companies that build scalable, task‑structured, reusable data systems will gain the competitive moats required to deploy AI in manufacturing, robotics and embodied systems.