As demand for AI chips continued to surge, utilization rates at advanced semiconductor process lines kept climbing, making the circular-economy treatment of waste hydrofluoric acid and calcium fluoride sludge an essential service. Liying said the company’s core strength lay in using intelligent production parameters to improve waste purity and regenerate the materials into green synthetic fluorite (calcium fluoride), helping semiconductor customers meet carbon reduction and ESG goals in advanced manufacturing.

Infineon Technologies and Vietnam’s VinRobotics have agreed to collaborate on humanoid robots, a move that could shape how future machines are designed, manufactured, and deployed worldwide. The partnership brings together semiconductor expertise and robotics development, highlighting Asia’s growing role in automation across industry, services, and the home.

AI and optical communications demand are pushing frequency components toward higher frequencies, smaller sizes, lower power consumption, ultra-low jitter, and very high stability. Quartz component maker TXC sees AI and automotive as its main growth engines in 2026, and expects AI to account for 16% of full-year revenue this year. TXC currently holds a 20–30% share of the optical module market and aims to break above 30% in 2027.

Unigroup Guoxin Microelectronics is moving closer to a Beijing Stock Exchange IPO, adding another DRAM-focused player to China’s domestic memory chip pipeline.

WD is preparing for a global wave of AI data growth by prioritizing hard drives with higher capacity, faster performance, and lower power consumption. The company says the shift reflects how AI training and inference are generating more data than traditional systems can handle, making storage efficiency and affordability increasingly important worldwide.

The frontier of AI is shifting from model training and accuracy to real-world deployment and other emerging factors, according to a panel held on June 10 comprising AI leaders in Asia and Europe. The new battleground is evolving toward cost and markets where AI capabilities remain less developed.