Cross-Domain Intelligence: Power of Strategic Convergence

As artificial intelligence moves beyond the laboratory to the unpredictable realities of autonomous driving and flexible manufacturing, it no longer faces standardized datasets. In the real world, AI must navigate an environment defined by sensory noise, extreme weather, and unpredictable behavior. To overcome these challenges, the City University of Hong Kong (CityU) and the AI Research Center have engaged in deep collaboration to develop next-generation agents capable of uncertainty reasoning and low-energy continual learning.

As demand for AI computing power grows at an almost exponential rate, the semiconductor industry faces a formidable physical bottleneck. While computing engines (GPUs/XPUs) accelerate like high-performance supercars, the data transmission pathways connecting them remain as congested as narrow one-way streets.

This is a story where academic vision meets industrial ambition. Inside the laboratories of the Department of Space Science and Engineering at National Central University (NCU), the flickering red and green lights of precision instruments illuminate the faces of young students. Dozens of kilometers away, researchers at the Hon Hai Research Institute are strategizing ways to advance Taiwan’s communications capability from terrestrial networks to the Low Earth Orbit (LEO) environment, 500 kilometers above the Earth’s surface.

Step into a traditional quantum computing laboratory, and you are immediately met with a dense jungle of steel and glass, an optical table crowded with precision lenses, mirrors, and laser arrays.

In the race toward quantum computing, scientists face formidable challenges. Although quantum computers theoretically surpass classical systems in computational power, the hardware resources and computational overhead required for fault-tolerant quantum computing often grow exponentially with increasing precision requirements.

As AI and electric vehicle (EV) technologies advance at lightning speed, cybersecurity threats have spread from the virtual into the physical world. To confront increasingly complex attack methods, the theoretical depth of academia must be tightly integrated with the real-world practice of industry.