Agentic AI is pulling CPUs back to the center of the AI stack, turning them into a renewed battleground for chipmakers. After Arm moved into AGI-focused CPU design, Nvidia has followed with a stake in SiFive, a RISC-V IP provider, signaling a broader shift in how control of AI infrastructure is being contested
Flipping an egg takes less than two seconds, but every step involves continuous sensing, judgment, and force control; spreading jam and arranging plates are the same. The difficulty of these atomic skills does not lie in executing fixed trajectories, but in performing correctly in complex environments
As generative AI demand shifts from centralized cloud training to edge inference, Nokia and AI chip startup Blaize have expanded their partnership in Singapore, unveiling a full-stack solution for hybrid heterogeneous computing at GITEX AI Asia
As the global generative AI boom shifts from scale to localization, Southeast Asia is emerging as a critical testing ground for the next phase of development. The region's linguistic diversity and complex cultural landscape are pushing developers to rethink model design, fueling the rise of localized large language models and smaller, more efficient systems tailored to specific use cases
As demand for AI computing continues to surge, terrestrial data centers are facing mounting constraints in power supply, thermal management, and land availability. As a result, the feasibility of space-based computing infrastructure is drawing increasing attention across the industry
AI agents are moving beyond chat into execution, handling tasks, workflows, and decisions. That shift is giving rise to a new hardware category: the agent computer. Built for persistent, local AI operation with direct control over tools and data, it is emerging as a contender for the next core of personal computing
As HPC and AI processors push computing performance to unprecedented levels, transistor density has reached a point where thermal behavior is no longer uniform. Instead of gradual, evenly distributed heating, modern chips exhibit sharp, localized hotspots that concentrate extreme thermal loads within small regions
Large language models (LLMs) have demonstrated three surprising capabilities in recent years: generalization—providing reasonable answers to unseen questions; multitasking—handling programming, translation, financial analysis, and legal interpretation within a single model; and reasoning—breaking down complex problems into stepwise solutions. Together, these abilities have triggered a paradigm shift in the digital world
China's AgiBot Innovation (Shanghai) Technology has shipped its 10,000th humanoid robot, the Agibot Expedition A3, signalling early mass production at scale. Output doubled from 5,000 units at the end of 2025 within three months. While Tesla's Optimus timeline remains under scrutiny, China's humanoid robot push is already scaling, led by AgiBot, Unitree Robotics, and Ubtech Robotics in an emerging three-player structure
At SEMICON China 2026, Applied Materials and ASML kept a low profile under tightening US export controls, while domestic Chinese suppliers dominated visibility and floor presence
Recently, the American Institute in Taiwan (AIT) has made a series of unusually high-profile appearances at promotional events for US automakers such as Jeep and Ford. The rare visibility has drawn intense attention from both industry insiders and market observers alike — and for good reason. With the first quarter of 2026 marking the official conclusion of automotive tariff negotiations under the Taiwan–US trade agreement, these diplomatic gestures now carry significance far beyond simple brand endorsement. They signal a new era of "structural transformation" in Taiwan–US automotive cooperation
AI agents and their high-powered capabilities are creating a new category of cybersecurity threats among enterprises using them, from accidental data breaches to bad actors breaking into company systems
China's push for a self-sufficient AI stack is no longer theoretical — it is entering deployment. DeepSeek's upcoming V4 model, expected within weeks, signals a shift from experimentation to execution, linking software, chips, and policy into a single system
In September 2025, Nvidia CEO Jensen Huang made a rare joint livestream appearance with Intel CEO Pat Gelsinger to announce a US$5 billion equity investment in Intel. In March 2026, Nvidia followed up with a US$2 billion investment in Marvell Technology. Why Huang is investing in potential competitors so aggressively remains a question
