Asia University, in cross-university collaboration with National Ilan University, developed the "New Intelligent Pig Farm" AI monitoring system, winning first place in the Information Application category and first place in the Asia Silicon Valley Smart Innovation category; two other projects won first place for the Most Popular Award and an honorable mention in the Information Application category.

The programming elite team from the College of Information and Electrical Engineering at Asia University, Taiwan, guided by CIO Chen Huai-En and Professor Wang Chao-Neng of the Department of Biomedical Science, collaborated with five students, including Ling Han-Xuan from the Department of Computer Science and Information Engineering at Asia University and Lin Shih-Che from the Department of Computer Science and Information Engineering at National Ilan University, to develop the "New Intelligent Pig Farm" AI monitoring system. The project won first place in the Information Application category and first place in the Asia Silicon Valley Smart Innovation category at the National College Information Application Service Innovation Competition. Additionally, Professor Lu Ching-Ta of the Department of Communication Arts guided students Lu Yen-Yu and Pan Hsin-Yu in developing "AI Understanding," which won first place for the Most Popular Award; student Yu En-Lun developed "Sound & Vision," receiving an honorable mention in the Information Application category. This year's competition saw a record number of entries, with a total of 1,043 teams and 5,423 participants from 110 universities. Statistics show that this competition has fostered over 900 industry-academia cooperation cases, with more than 70% of the works continuing to be adopted by the industry after the competition. This year's focus included technological applications such as Artificial Intelligence, the Internet of Things (IoT), and cybersecurity, aligning with industry trends and government policy priorities. Among the 140 judges, over 50% were senior executives from the corporate sector. Asia University President Jeffrey J.P. Tsai stated that Asia University continues to cultivate technological talent and add momentum to the upgrading of various industries. AI, IoT, Big Data, and smart healthcare are critical directions for Taiwan's industrial upgrading and economic transformation. He encouraged students to utilize the foundations of industry, government, academia, and research, along with the power of technological innovation, to achieve innovative models and become a driving force for national progress. CIO Chen pointed out that pig farming is a traditional industry in Taiwan; as times evolved, this industry transitioned from a rural side-business to a role that significantly contributes to the national economy. However, the current livestock industry faces major challenges such as an aging population and labor shortages. CIO Chen noted that the team developed a system encompassing piglet crush rescue, optimal insemination timing for sows, boar activity monitoring, a pig farm war room, and a smart personnel monitoring system based on various pig-related research. The goal is to introduce technology into pig farms through this system to help the industry increase productivity. Professor Wang Chao-Neng stated that by combining various image recognition key technologies with IoT, including the use of CNN (Convolutional Neural Network) to classify the MFCCs (Mel-Frequency Cepstral Coefficients) of sounds to extract the characteristics of pig vocal cord vibrations, AI can identify whether a pig is currently abnormal and send notifications. Furthermore, a web-based interface integrates all subsystems into a dedicated war room for each farm. Through five smart systems, it is integrated into an operator platform for managers, helping to solve current labor shortages and improve pig production capacity. "AI Understanding" was jointly guided by Professor Lu Ching-Ta and Teacher Lin Chun-Yi of the Department of Hearing and Speech Sciences for students Lu Yen-Yu and Pan Hsin-Yu. This system provides a simplified hearing test system, allowing users to quickly diagnose their own hearing; it combines hearing aids with smart glasses to display subtitles, enabling the hearing impaired to communicate fluently with others. "Sound & Vision" was jointly guided by Professor Lu Ching-Ta and Associate Research Fellow Su Li of Academia Sinica for student Yu En-Lun, allowing musicians to use the system to extract MIDI files for vocals, piano, drums, and other instrument groups from mixed music, providing more creative materials or facilitating music arrangement and other creative works.