The RISE project team at Seoul National University of Science and Technology (SeoulTech) successfully wrapped up the '2025 AI-Semiconductor Idea Hackathon' held in Gumi, North Gyeongsang Province, from February 2 to 4. The event was part of a program aimed at enhancing collaboration and resource sharing between Seoul and provincial universities to jointly tackle key challenges in the AI and semiconductor sectors. The hackathon had the participation of the Korea National University of Transportation, which co-hosted the event, alongside other consortium universities including Hanbat National University and Ajou University, thereby enriching the collaborative effort.

During the hackathon, students developed projects that utilized open semiconductor data to address various manufacturing process issues such as improving defect rates, increasing productivity conditions, and early detection of anomalies, using AI techniques like Python. The participating teams proposed ideas focusing on predictive models for defects, analysis of process conditions, and effective strategies for anomaly detection. Through this team-based problem-solving approach, students enhanced their practical learning outcomes by considering all factors from problem analysis to technology application and feasibility.

Additionally, the hackathon featured systematic training sessions on Python and practical exercises using generative AI tools, along with discussions on trends in the AI-semiconductor industry, further supporting student innovation. Mentorship from industry experts in AI and semiconductor technology provided participants with invaluable feedback. Following a competitive evaluation process focusing on understanding the problem, appropriateness of technology use, feasibility, and creativity of ideas, the team 8lo8loMI was awarded the grand prize for proposing a defect prediction system model based on process sensor data, demonstrating exceptional interpretive skills in linking model outcomes to actual process phenomena.