MediaTek revenue hits record on AI chip demand, TPU orders key
Taiwan’s monthly exports top US$80 billion for first time, fueled by AI demand
Taiwan’s exports rose to a record high in March, supported by demand for artificial intelligence (AI) and memory-related products, according to the Ministry of Finance.
Taiwan DDI makers see 1Q26 revenue decline; small to mid-size demand remains weak
Global chip sales expect to top US$1 trillion in 2026 on AI demand
Taiwan’s semiconductor supply chain posted stronger-than-expected results in the first quarter of 2026, as artificial intelligence (AI) demand accelerated the adoption of advanced nodes and advanced packaging, lifting both foundries and equipment suppliers.
China chipmaker Hygon expands CPU-GPU strategy for AI compute
China’s push for AI self-sufficiency is lifting Hygon Information Technology from a server CPU supplier into a broader AI compute platform player. Its “CPU + DCU (Deep Computing Unit)” strategy is now taking shape, positioning the company to serve both general-purpose and AI workloads in a market racing to localise computing power.
Silicon photonics scaling hits wafer testing bottleneck
Intel and SambaNova deepen alliance to capture AI infrastructure demand
As artificial intelligence moves from experimentation to full-scale production, companies are confronting the limits of GPU-only inference architectures. In response, Intel and SambaNova Systems on Monday unveiled a jointly engineered blueprint designed to address the next generation of AI workloads, while announcing a broader multi-year strategic collaboration.
Robotaxis enter a new phase: Regulation over innovation
As companies like Mercedes-Benz, Volkswagen, and Waymo begin rolling out autonomous vehicles across Europe and the US, the bottleneck facing robotaxis has shifted. No longer defined primarily by technological breakthroughs, the industry is now constrained by regulatory approval and the ability to operate reliably in complex, real-world conditions.
BYD expands driver tech, but software gaps come into focus
The choice of sensing architecture and the efficiency of data iteration have emerged as decisive factors in the competitiveness of advanced driver-assistance systems (ADAS) and higher-level autonomous driving. Increasingly, they shape not only technological leadership but also brand perception and sales performance.