Amid volatile geopolitical tensions affecting Japan's components, manufacturing, and end-user sectors, Seiko Epson unveiled its Engineered Future 2035 long-term vision. The plan aims to shift Epson from a traditional printer maker into a value-driven company focused on technology innovation and engineering excellence, with improving return on invested capital as a core discipline.
A green energy startup from Taiwan is heading to Silicon Valley with an unconventional argument: the most valuable layer in the energy transition may not be more solar panels, but the AI dispatch layer that sits between generation and consumption.
In an era where AI systems are rapidly scaling beyond the limits of traditional silicon, new experimental companies are beginning to question what "compute" itself should look like. One of the most unusual entrants is The Biological Computing Company (TBC), which proposes a hybrid model integrating living neurons with modern machine learning systems to enhance performance, efficiency, and adaptability. The idea sits at the intersection of neuroscience and computing.
Spain-based AI chip startup Semidynamics has recently seen a wave of positive developments. Its first chip, fabricated on TSMC's 3nm process, has successfully completed tape-out, and just weeks ago, the company secured an investment commitment from SK Hynix. Both significantly enhance its operational credibility and global visibility. CEO Roger Espasa stated that the company's proprietary Gazzillion technology is a specialized memory subsystem designed to address one of AI's most pressing challenges today: inefficient memory utilization, which has led to persistent supply constraints.
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 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 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.
While North America and Asia race to deploy "physics-bending" AI hardware, Europe has opted for a "wait-and-see" approach, shielded by thick layers of regulation. In a DIGITIMES Asia interview, CONTEXT World senior analyst Aaron Smith argues this is creating a vulnerability window. As Europe moves cautiously to ensure regulatory compliance, it is inadvertently extending the life of aging, insecure legacy systems. Meanwhile, advanced AI cyberattacks are intensifying, adding pressure to European enterprises.
