What is the purpose of Kaohsiung's U.S. trip?
To expand cooperation in AI and semiconductors and raise the city’s international profile.
Business / International Relations
Kaohsiung is actively building international collaborations to enhance its technological capabilities and global presence, particularly in semiconductors and artificial intelligence. These strategic alliances aim to bolster supply chain res...
Kaohsiung's strategic moves highlight its ambition to become a key player in the global technology landscape. The city's focus on semiconductors, AI, and green energy aligns with current industry trends and future growth sectors. By partnering with leading regions and companies, Kaohsiung is not only enhancing its technological capabilities but also securing its position in international supply chains.
The collaboration with Arizona and Kumamoto Prefecture addresses the critical need for resilient semiconductor supply chains. The proposed SPARK center will foster innovation in silicon photonics, a key technology for next-generation semiconductors. Furthermore, Kaohsiung's engagement with Google's Green Light project demonstrates its commitment to leveraging AI for urban development and sustainability.
These initiatives reflect a broader trend of international cooperation in technology, driven by the need to share resources, expertise, and markets. For example, the partnership between the U of A and National Yang Ming Chiao Tung University in Hsinchu, Taiwan to create a Talent and Innovation Hub shows that Taiwan is at the forefront of these global technology collaborations. Kaohsiung's efforts are particularly significant as they involve government, industry, and academic partners, creating a comprehensive ecosystem for technological advancement.
To expand cooperation in AI and semiconductors and raise the city’s international profile.
A proposed joint center between the University of Arizona and National Sun Yat-sen University to advance silicon photonics technology.
An AI-based project that uses traffic data to improve the timing of traffic signals to reduce congestion and emissions.
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