When Jensen Huang was asked in Taipei about Samsung Electronics' recent labor dispute, the Nvidia chief executive offered a characteristically direct response
At the close of his keynote address at the Humanoids Summit in Tokyo, Hiroshi Ishiguro — one of the pioneers of humanoid robotics — offered a candid assessment of the industry's progress: despite decades of investment and research, Japan has yet to produce a truly transformative, mass-market application for robotics
Computex 2026 showcased the industry's latest innovations with its usual fanfare. Yet beneath the spectacle, the event revealed something far more consequential: artificial intelligence is rewriting not only the rules of competition but also the relationships that have long defined the global semiconductor industry
China moved toward higher-value exports in response to escalating US trade and technology restrictions, reshaping global supply chains and forcing manufacturers to absorb higher costs, executives and research findings showed. The shift, visible in early 2026 trade patterns, came after rounds of US containment measures that began with 2018 tariffs and intensified following the 2025 policy expansion, according to a report commissioned by the Mainland Affairs Council
Nvidia used GTC Taipei on June 1, 2026, to unveil RTX Spark, also known as N1X, a new AI PC system-on-chip designed for native AI agent workloads rather than mainstream Windows PCs. The chip appears designed to fill a gap in consumer hardware that cannot reliably handle local, autonomous AI tasks
At a recent product launch, BYD Chairman and President Wang Chuanfu unveiled the company's first in-house autonomous driving system-on-chip, the Xuanji A3, marking a significant milestone in BYD's push toward greater technological self-sufficiency
Nvidia and MediaTek have formally entered the AI PC and Windows on Arm market with the unveiling of RTX Spark at Computex 2026, ending two years of low-profile development. The first products are expected from Dell, HP, Lenovo, and MSI in autumn 2026
Intel's foundry revival may depend less on beating TSMC at the most advanced process nodes than on whether it can turn AI-driven demand into a profitable advanced packaging business
AI holds enormous potential to benefit the environment, but it simultaneously consumes massive amounts of water and energy. One generative AI data center can use up to 5 million gallons of water a day, and AI as a whole draws as much power as 100,000 households. A single AI query can use up to 1,000 times more electricity than a traditional Google search. The result is an urgent paradox: AI is becoming one of the most sophisticated tools ever built to combat climate change, yet it is also one of the fastest-growing strains on the planet's resources
Agentic AI is reshaping corporate procurement by moving beyond decision support to autonomous execution. Pactum is using it to automate tasks such as requisition handling, supplier communication, and compliance checks, helping enterprises manage procurement more efficiently across large supplier networks
The global semiconductor industry is at an inflection point, split between those who can still shrink transistors and those who can no longer do so. US export controls and the denial of EUV lithography equipment have effectively capped China's front-end chip manufacturing at older process nodes, while Taiwan's TSMC extends its lead by layering chips vertically in three dimensions — a technique known as 3D stacking — binding the world's top AI chip designers ever more tightly to its ecosystem
Huawei's Tau Law is being framed in China as a new semiconductor principle, but its strategic value may lie beyond catching TSMC in process nodes. The real question is whether Huawei can combine LogicFolding, optical interconnects, and system-level scaling to reduce China's reliance on Nvidia
Sharp President and CEO Tetsuji Kawamura said the company has eased some long-standing management pressures, but its main challenge now is to expand its brand, develop new businesses, and accelerate globalization simultaneously. He outlined the strategy in an interview with DIGITIMES
Falling inference prices and tightening data regulations are pushing AI compute beyond the hyperscale data center — reshaping infrastructure decisions for enterprises, governments, and device makers worldwid
When Nvidia CEO Jensen Huang stepped off a plane in Taipei on Saturday, May 23, he had already begun documenting the trip on X — night markets, fried food, and family. By the time he hosted more than 30 executives at a brick-walled restaurant six days later, the week had traced something much larger than a Computex schedule. It had mapped, dinner by dinner and post by post, the anatomy of the world's most consequential AI supply chain
The building where Saeed Amidi runs his global venture empire was once one of the most important semiconductor facilities on the West Coast. Philips Electronics operated a fabrication plant here in Sunnyvale, California, employing 8,000 people at its peak. Then, like much of America's chip manufacturing base, it moved to Asia — to Taiwan, to Korea, to the supply chains that would come to define the global electronics industry for the next three decades