Best AI Awards: Kung Ming-Hsin States Next Phase Focuses on AI Applications Across All Industries
Taiwan's Ministry of Economic Affairs held the 2nd Best AI Awards, with Minister Kung Ming-Hsin emphasizing the importance of transforming Taiwan's AI hardware advantages into practical applications across various industries. The event attracted 1487 teams from 36 countries, promoting the adoption of agentic AI and edge AI technologies. AI lightweighting applications in medical, ICT, manufacturing, and education sectors were highlighted.
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- 📰 Published: April 25, 2026 at 20:16
- 🔍 Collected: April 25, 2026 at 20:31 (15 min after Published)
- 🤖 AI Analyzed: April 25, 2026 at 22:12 (1h 40m after Collected)
Central News Agency
(Central News Agency reporter Su Siyun, Taipei, April 25) The Ministry of Economic Affairs today held the awards ceremony for the 2nd Best AI Awards. Minister of Economic Affairs Kung Ming-Hsin stated that while Taiwan possesses key advantages in AI hardware fields such as semiconductors and servers, the next crucial stage is how to transform AI into practical applications across various industries, allowing industries to truly benefit from AI integration.
The Ministry of Economic Affairs today hosted the finals and awards ceremony of the 2nd Best AI Awards at Nangang Exhibition Center Hall 2. This year's competition attracted 1487 teams from 36 countries worldwide, with international participation nearly doubling from the first edition.
Ultimately, 100 awards were selected from 253 teams, with the 8 most iconic gold medals awarded to Delta Electronics Inc., Kneron Inc., SEIE Technology Co., Ltd., Jenn Zih Technology Co., Ltd., National Cheng Kung University, National Huwei University of Science and Technology, as well as teams from Thailand and Poland.
Kung Ming-Hsin stated that Artificial Intelligence (AI) has become one of the most important global competitions. Taiwan possesses key advantages in AI hardware fields such as semiconductors and servers, but the next crucial stage is how to transform AI into practical applications across various industries, allowing industries to truly benefit from AI integration.
Kung Ming-Hsin pointed out that under the Executive Yuan's framework for promoting the 'New Top Ten AI Construction Projects,' the Ministry of Economic Affairs is responsible for promoting the落地 (localization) of AI applications. It has established over 50 trial sites with AI automation capabilities, developed application models covering 23 key industries, and through the 'Industrial Competitiveness Counseling Group,' deployed over 1,000 counseling personnel across northern, central, southern, and eastern Taiwan to assist over 2,600 enterprises in adopting AI.
The Department of Industrial Technology of the Ministry of Economic Affairs stated that in response to the rapid development trends of Agentic AI and Edge AI, this year's competition successfully guided industries to invest in the latest AI technologies, allowing AI to evolve from a passively responsive tool to an intelligent partner with autonomous judgment and task execution capabilities.
The Ministry of Economic Affairs noted that participating projects spanned critical fields such as medical, ICT, manufacturing, and education. Combining Taiwan's IC design advantages, over 430 projects this year focused on AI lightweighting applications, enabling AI to operate in real-time within terminal equipment like sensors and factory machinery. (Editor: Lin Chia-Hsien) 1150425
(Central News Agency reporter Su Siyun, Taipei, April 25) The Ministry of Economic Affairs today held the awards ceremony for the 2nd Best AI Awards. Minister of Economic Affairs Kung Ming-Hsin stated that while Taiwan possesses key advantages in AI hardware fields such as semiconductors and servers, the next crucial stage is how to transform AI into practical applications across various industries, allowing industries to truly benefit from AI integration.
The Ministry of Economic Affairs today hosted the finals and awards ceremony of the 2nd Best AI Awards at Nangang Exhibition Center Hall 2. This year's competition attracted 1487 teams from 36 countries worldwide, with international participation nearly doubling from the first edition.
Ultimately, 100 awards were selected from 253 teams, with the 8 most iconic gold medals awarded to Delta Electronics Inc., Kneron Inc., SEIE Technology Co., Ltd., Jenn Zih Technology Co., Ltd., National Cheng Kung University, National Huwei University of Science and Technology, as well as teams from Thailand and Poland.
Kung Ming-Hsin stated that Artificial Intelligence (AI) has become one of the most important global competitions. Taiwan possesses key advantages in AI hardware fields such as semiconductors and servers, but the next crucial stage is how to transform AI into practical applications across various industries, allowing industries to truly benefit from AI integration.
Kung Ming-Hsin pointed out that under the Executive Yuan's framework for promoting the 'New Top Ten AI Construction Projects,' the Ministry of Economic Affairs is responsible for promoting the落地 (localization) of AI applications. It has established over 50 trial sites with AI automation capabilities, developed application models covering 23 key industries, and through the 'Industrial Competitiveness Counseling Group,' deployed over 1,000 counseling personnel across northern, central, southern, and eastern Taiwan to assist over 2,600 enterprises in adopting AI.
The Department of Industrial Technology of the Ministry of Economic Affairs stated that in response to the rapid development trends of Agentic AI and Edge AI, this year's competition successfully guided industries to invest in the latest AI technologies, allowing AI to evolve from a passively responsive tool to an intelligent partner with autonomous judgment and task execution capabilities.
The Ministry of Economic Affairs noted that participating projects spanned critical fields such as medical, ICT, manufacturing, and education. Combining Taiwan's IC design advantages, over 430 projects this year focused on AI lightweighting applications, enabling AI to operate in real-time within terminal equipment like sensors and factory machinery. (Editor: Lin Chia-Hsien) 1150425