AI computing power
AI computing power
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AI Computing Power Gap Narrowing
How domestic AI chips are closing the compute gap for real-time robot inference — benchmarks, deployment realities, and China's hardware-software stack (Updated: September 2026).
2026-09-24
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Chinese AI Companies Expand Globally While Prioritizing D...
How China's leading AI firms balance global market entry with deep robotics integration at home — from industrial robots to humanoid platforms and AI chip stacks.
2026-09-24
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Spark Model Integration with Service Robots
How iFlytek's Spark large language model enables natural, low-latency language interaction in service robots — architecture, latency benchmarks, hardware constraints, and real-world deployment less...
2026-09-23
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AI Agent Architecture Explained
Practical breakdown of AI agent architecture for autonomous systems—grounded in Chinese frameworks like Wenxin Yiyan, Tongyi Qwen, Huawei Ascend, and real-world robotics deployments.
2026-09-22
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Domestic AI Chips Power Localized Training of China's Lar...
How Huawei Ascend, Biren, and Hygon chips enable onshore training of Wenxin Yiyan, Qwen, and Hunyuan — bypassing US export controls, cutting latency, and accelerating sovereign AI deployment.
2026-07-15
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Shanghai and Shenzhen Lead Smart City AI Integration Acro...
How Shanghai and Shenzhen deploy AI chips, multimodal models, and robotics to transform urban transport—real-world deployments, infrastructure constraints, and lessons for global cities.
2026-07-13
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AI Computing Power Is the New Battleground for Tech Sover...
Why AI算力—hardware, software, and infrastructure control—is now central to national tech sovereignty, with real-world implications for chips, models, robots, and cities.
2026-07-13
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AI Trends Highlight Growing Role of Domestic Chips
How China's AI chip ecosystem — Huawei Ascend, Biren, Moore Threads — is enabling autonomous construction robots with real-time perception, planning, and control.
2026-06-04