After 2013, planar NAND flash memory began reaching its scaling limits at the 15–16nm process node. Capacitive coupling between the floating gates of adjacent memory cells increasingly disrupted their threshold voltages, making stored data harder to read reliably...
Microsoft's in-house Azure Maia chips will become the main platform for its own AI services, including Microsoft 365 Copilot, GitHub Copilot and Microsoft Foundry. However, the company will keep using GPUs from Nvidia and AMD, Andrew Wall, general manager of the Azure Maia program, told DIGITIMES.
Meta's recent introduction of its personal AI agent, Muse, has renewed interest in AI assistants capable of operating across devices. Unlike conventional AI features tied to individual smartphones, computers or vehicles, personal AI agents use memory, reasoning and tools to understand user needs and maintain personalised experiences across services and devices. DIGITIMES observes that this shift could extend AI agents into vehicles, transforming smart cockpits from standalone in-car systems into connected environments integrated with smartphones, wearables and personal digital services.
Largan chairman Adam Lin spoke about the company's cautious smartphone outlook while taking a more aggressive stance on co-packaged optics (CPO) during a recent online earnings briefing. His comments on order trends, gross margins, and 2026 visibility highlight three simultaneous pressures facing the smartphone camera-lens industry.
AI data centers are shifting toward faster networking architectures, with optical transceivers advancing from 800G and 1.6T toward 3.2T. Yet China's ability to retain its position in the global AI data center supply chain may increasingly depend on more than technology and manufacturing capacity. Potential US supply-chain restrictions are emerging as another critical variable.
AI is changing the logic of telecom traffic growth, with Ericsson and industry researchers warning that mobile networks must now handle not only more data, but also more uplink traffic, real-time interaction, and connected-on-the-move usage. As generative AI, agentic AI, and multimodal interactions spread, telecom operators are being pushed to rethink network investment beyond downlink capacity.
As the demand for green energy surges in parallel with order volumes and production capacity, scheduling for energy storage systems has become a critical technology to solve the problem of excess power for major tech firms, according to Kelsey Kuan, general manager of HD Renewable Energy subsidiary Star Trade. In an interview with DIGITIMES, Kuan also highlighted the rising technological barriers for electricity sellers, as the business now requires AI forecasting, transfer matching, energy storage, and integrated renewable-energy capabilities.
The European enterprise networking market has cleared its multi-year inventory digestion period. According to CONTEXT, sell-through via European distribution channels is growing in the low double digits entering 2026 across core infrastructure categories, including switches and enterprise wireless access points. That contrasts with the "heavy double-digit declines" the channel saw during COVID-19, said CONTEXT principal analyst Aaron Smith.
Largan Precision will hold its earnings call on October 8, when the optical lens maker is due to report third-quarter results and outline its fourth-quarter outlook. With September revenue recovering and the company stepping up property acquisitions, investors are likely to focus on three issues: progress in co-packaged optics (CPO), capacity expansion and the pace of fourth-quarter customer orders.
At IROS 2026, one of the world's top robotics conferences, held in Pittsburgh at the end of September, a robot startup's booth featured a dual-arm robot catching, in midair, sticks dropped at random from above. The demonstration is one of many this year showing robots dancing, doing parkour, and even running half marathons—but the real question is what those performances actually prove about physical AI.
Kioxia helped create the NAND flash industry, but AI is changing what leadership in memory looks like. The Japanese supplier is benefiting from record NAND demand and higher prices, yet rivals are capturing more value from enterprise solid-state drives (SSDs) for AI servers. Kioxia's challenge is therefore less about making advanced NAND than turning it into qualified products, hyperscaler relationships, and committed volumes before today's AI infrastructure boom hardens the supplier hierarchy.
Demand for agentic AI in commercial and consumer markets was rising rapidly, and the market appeal of consumer services such as Meta Muse was expanding. In agentic AI tasks, large language model (LLM) inference was mainly handled by GPUs or application-specific integrated circuits (ASICs), while many other functions relied on CPUs, which was expected to boost CPU demand. Consumer-facing harness applications were expected to adopt enhanced general-purpose servers, while enterprise core automation would use high-density CPU racks deployed inside AI data centers.
The ferocious push toward artificial intelligence is gathering momentum amid growing industry demand for higher AI inference and increasingly compute-intensive models.
The recent summit between US President Donald Trump and Chinese President Xi Jinping concluded without progress on automotive issues—namely, whether Chinese automakers might enter the US market or build manufacturing plants on American soil. While the prospect had previously sparked anxiety among American, European, and Japanese carmakers, the topic yielded no tangible breakthrough during the talks.
China's National Day holidays have opened one of the fourth quarter's most important promotional windows for consumer electronics. For smartphones, the timing is especially significant: Apple, Xiaomi, Vivo, Oppo and Honor have all launched new models since September, while Huawei introduced its Mate 90 series on October 1.
