Artificial intelligence (AI) benefits many industries but is limited by the so-called "curse of dimensionality," which arises when machine learning models handle data with many features. This issue is particularly relevant in semiconductor manufacturing, where process parameters such as temperature, time, and thickness define a high-dimensional data space. Increased dimensionality exponentially expands the volume of this space, causing data points to become sparse and traditional machine learning models to struggle with capturing complex correlations
Since 2000, semiconductor manufacturing has increasingly depended on advanced computational techniques, notably first principles calculations and machine learning, with quantum computing anticipated to join these efforts by 2025. These approaches, collectively described as computing semiconductors, play a critical role in research, development, and production processes across the industry
Artificial intelligence (AI) is reshaping energy systems by enhancing their resilience, efficiency, and sustainability. The relationship between AI and energy is reciprocal: AI relies on reliable and clean electricity, while energy infrastructure increasingly depends on AI for improved forecasting, maintenance, and operational control. This evolving synergy is providing competitive advantages to industries and governments globally
History shows that past productivity improvements have always been accompanied by high-density energy conversion and industrial efficiency enhancements: from hydropower, steam, electrification, automobiles and oil, to IT and the internet, and now AI
The global counter-drone systems market is projected to reach US$14.32 billion by 2032 as small unmanned aerial vehicles transform modern warfare, driving demand for detection and neutralization technologies among military and security agencies worldwide
As the era of commercial quantum computing inches closer, the United States and China are accelerating efforts to secure the digital world against quantum threats. In July 2024, the US National Institute of Standards and Technology (NIST) finalized its selection of cryptographic standards designed to withstand quantum attacks — a pivotal milestone in global cybersecurity
As of 2024, the global electronic manufacturing services (EMS) industry is valued at approximately US$700 billion, with about half originating from Taiwan. Starting in 1966 with basic black-and-white television assembly, Taiwan has transformed over six decades into a comprehensive EMS powerhouse
The recent documentary on Taiwan's semiconductor development history, A Chip Odyssey, highlights how the Radio Corporation of America (RCA) licensed and transferred semiconductor technology to Taiwan, launching a half-century journey in semiconductors for the island
Since the onset of the US-China tech war, both sides have engaged in multifaceted struggles over strategic industries such as semiconductors, AI, and critical resources
In the US, local government incentive programs for business attraction primarily hinge on factors such as the number of jobs created, salaries, duration, and capital investment amounts. In recent years, economic development strategies across various states have evolved from generic incentives to more focused, strategic approaches closely aligned with national objectives
IBM's Condor and Atom Computing's Phoenix have advanced quantum computing with 1,121 and 1,180 qubits, respectively. Meanwhile, Taiwan is just beginning its journey in 2024 with a prototype quantum computer featuring five qubits
Recently, US President Donald Trump's visit to Middle Eastern countries brought several trillion US dollars in investments and procurement deals with the US, becoming a major topic of discussion. Investing in American manufacturing to reduce trade deficits—especially in cutting-edge technologies related to national security and priorities of the Trump administration—is one of the most effective tools in tariff and trade negotiations
Unlike most large language models that run on cloud servers, edge AI operates models directly on devices. This approach dramatically cuts latency from network transmission, allowing real-time responsiveness and offline operation. It also enhances privacy and security by keeping data local instead of uploading it to the cloud
From the Consumer Electronics Show (CES) 2025 at the beginning of the year, Nvidia's GPU Technology Conference (GTC) in March, to TSMC's North America Technology Symposium in April, and the upcoming Computex 2025, these major tech showcases clearly demonstrate the inseparable relationship between AI server development and semiconductor advanced process and packaging technologies
