Artificial intelligence is rapidly entering enterprise operations, blurring the lines between cybersecurity and supply chain management. In the AI era, Zero Trust is no longer only about who can access a system. Enterprises must also ask whom and what they depend on, how concentrated those dependencies are, and what happens when a critical link fails.

As chip design enters the AI era, heterogeneous integration is driving foundry giants like TSMC, Samsung, and Intel to bring advanced front-end fab capabilities into back-end packaging. In the second part of his interview with DIGITIMES, Dr. Shin-Puu Jeng, chairman of IMAPS and a former TSMC executive, shared how TSMC transformed CoWoS from a niche lab concept into an industry standard.

In a recent interview on the DIGITIMES podcast, Dr. Shin-Puu Jeng, chairman of the International Microelectronics and Packaging Society (IMAPS) and a former longtime TSMC advanced packaging executive, reflected on the early development of CoWoS. In the first of this two-part series, Jeng details how a critical thin-interposer crisis forced TSMC and Xilinx to innovate, laying the foundation for modern advanced packaging.

Global AI has entered a period of dramatic turmoil, with leading researchers warning that top labs are "gambling with our lives" and one Anthropic safety researcher saying there is more than a 10% chance AI will wipe out humanity within the next 10 years. That pressure has pushed Anthropic CEO Dario Amodei and OpenAI CEO Sam Altman into rare agreement: slow model development.

A robot that can map a factory floor still cannot necessarily find the box it has been asked to move, or remember what it saw on its last visit. For autonomous robots, building the map is increasingly just the beginning. What comes next — searching for objects, navigating to specified locations, remembering what the robot has seen, and retrieving that information for model reasoning in complex environments — is where the new applications and challenges lie.

China's two leading memory suppliers are moving to raise capital and expand output as demand for chips grows, a shift that could reshape the country's domestic supply chain. Their efforts reflect a new stage for the sector, but the long-term test will be whether fresh funding can translate into stronger technology, higher yields, and wider customer adoption.

When companies discuss ESG, they often emphasize environmental issues and compliance while paying less attention to employee health, a key component of the social dimension, according to Saxon Chen, founder and CEO of Taiwanese digital health technology company H2U Corp.

GMI Cloud is making Taiwan a key part of its global AI infrastructure expansion, with a US$500 million investment in an AI factory powered by Nvidia's Blackwell GPUs. Announced in late 2025, the facility is expected to deploy roughly 7,000 GPUs and serve customers including Trend Micro and Wistron.

India's new semiconductor incentive regime is putting more capital at risk for manufacturers, but the first wave of investment commitments suggests lower subsidies have not stopped companies from considering fresh projects.

Following Apple's executive transition, former CEO Tim Cook and new chief John Ternus have presented contrasting visions for the next generation of mobile devices, spotlighting a key strategic divide as the company prepares for the post-iPhone era.

The industry has converged on a single precondition for consumer adoption of augmented reality (AR) glasses: the product must look like ordinary eyewear. The China International Optoelectronic Exposition (CIOE) 2026 showed how differently the two critical component groups — microdisplays and waveguides — are responding to that constraint. Microdisplay makers are trading away a modest amount of resolution for smaller Micro LED panel areas, pushing light engines below 0.1cc, and pairing those engines with geometric, surface-relief, and volume-holographic waveguides from multiple suppliers to demonstrate complete near-eye modules and, in some cases, complete glasses. Taken together, the show indicates that AR display technology has reached a workable level of maturity.

A new Anthropic threat intelligence report offers an unusual glimpse into how advanced AI systems are being used under heavy, real-world workloads. The findings suggest that the decision to buy or host AI servers may depend less on model quality alone, and more on which tasks consume tokens, how long they run, and how much operational state they must preserve.

DIGITIMES Intelligence has observed that as the performance of AI accelerators and server CPUs continues to advance, chips are increasing not only in compute core counts and I/O channels but also in integration complexity. Higher integration of high-bandwidth memory (HBM), high-speed SerDes, and chiplet designs makes signal transmission, power delivery, and component interconnects within the package far more complex, driving high-end IC substrates toward larger surface areas and higher layer counts.

The extraordinary technological progress humanity has witnessed since AI first emerged has propelled a fundamental shift in industrial development. With experts hailing AI as the next phase of the digital revolution and an extension of Industry 4.0, the technology is increasingly reshaping how industries operate.

Advanced packaging remains one of the semiconductor industry's hottest technology areas in 2026. In Taiwan, terms such as co-packaged optics (CPO), chiplets, and glass substrates are increasingly common as packaging moves deeper into system-level design.