The Taiwan government will move to implement five action plans in line with eight major international AI (artificial intelligence) development trends to turn Taiwan into one of the world's major hubs in the development of smart technological innovations, including establishing a national advanced AI research network, according to government-funded National Applied Research Laboratories (NARLabs ).
In establishing the advanced AI research network, the government will integrate advanced research projects and talent cultivation programs to build an information sharing, horizontal communication and vertical connection mechanism.
The government will also promote an AI-navigation action plan, under which research resources will be focused on those niche sectors where Taiwan enjoys development advantages and the government will encourage private enterprises, academic research institutions and professional groups to organize dedicated research teams for public competition before outstanding teams are determined to lead AI-based research projects.
Among other plans, the government will build an open AI R&D service platform and a smart systems integration service center, and push for the establishment of common standards and design architectures by related industries.
According to a study report released by the Science & Technology Policy Research and Information Center under the NARLabs, the higher the degree of AI applications in a country, the greater the contribution of the applications to the country. The center cited estimates by Accenture as indicating that smart robots and machinery will contribute 2% to the GDP of the US, 1.9% to Japan, 1.6% to China and 3.6% to Taiwan by 2035.
The center's report also indicated that AI chips cover three major markets, namely cloud datacenters, communication terminal devices such as smartphones, and specific applications including autonomous vehicles, wearable AR/VR devices, drones and robots.
The report also outlined eight major AI development trends, including vertical AI applications to various industries, healthcare incorporating AI to maintain high growth, AI replacing screens to become new UI/UX interface, AI-based core computing for smartphones, AI-driven integration of software and hardware and integration of CPU and GPU, and AI autonomous learning.