Apple supplier Lingyi iTech is raising up to US$1.1 billion in a Hong Kong IPO to expand into AI hardware and humanoid robotics. The move signals a strategic pivot from smartphones to embodied intelligence, with bold production targets and key partnerships.
South Korean retail investors are bypassing domestic restrictions to trade leveraged semiconductor ETFs in Hong Kong. The move is fueled by AI-driven chip demand and FOMO, but risks abound.
Zhipu AI’s market value crossed HK$1 trillion as shares jumped 42% on Monday. The surge followed the GLM-5.2 model release, with founder Tang Jie challenging Elon Musk’s timeline for Chinese AI dominance.
Hong Kong’s AI future is not just about chips but energy. Specializing in low-energy segments like financial AI and leveraging legal expertise could secure its global role while managing power demands.
Professor B Ravindran, the only Indian on the UN’s first global AI science panel, warns that fragmented regulations risk turning developing nations into digital colonies. He also details India’s new Trusted AI Commons for safe and responsible AI tools.
A quiet shift is reshaping AI workflows. Instead of typing prompts, developers now design autonomous loops that guide AI agents to complete tasks without human input. This report explores how loop engineering works, its components, and the challenges ahead.
China’s GrainCore Dynamics sees an aging farming workforce as an opportunity to lead in embodied AI for agriculture. Drawing parallels to the EV boom, the company believes its unique blend of AI and mass production can disrupt global agritech.
Some Asia hedge funds delivered returns exceeding 100% in early 2026, fueled by AI hardware and large language model bets. The rally pushed Japan, South Korea, and Taiwan indexes to record highs despite geopolitical tensions.
Tool calling is the mechanism that lets LLMs decide when to invoke external functions, turning them from passive text generators into active agents. This article explains the tool calling loop, how models choose tools, and why it’s the foundation of agentic AI.
VeloAlpha, a Beijing-based start-up, launched FusionAlpha in April to tackle fusion energy’s simulation bottleneck. The AI-driven tool promises to break the ‘impossible triangle’ of speed, accuracy, and physical fidelity, potentially accelerating commercial fusion development.