挑战，从人工智能最前沿发起

Group 1 - The 19th "Challenge Cup" National College Student Extracurricular Academic Science and Technology Works Competition was held at Nanjing University, focusing on the "Artificial Intelligence +" special competition, attracting over 18,000 teams and approximately 180,000 students [2][6] - The competition aims to align with national strategies and address core technology challenges, with a special emphasis on artificial intelligence applications across various industries [2][6] - The event showcases innovative projects that leverage AI technology to solve real-world problems, highlighting the growing interest and engagement of students in AI research and applications [3][7] Group 2 - Projects presented include a visual model lightweighting solution for AI deployment on edge devices, successfully validated in real-world applications [4] - Another project combines AI with Chinese mythology education, creating an intelligent assistant to enhance cultural education for youth [5] - A project from Southeast University utilized causal AI to analyze traffic congestion, achieving a 96.3% accuracy in identifying congestion causes and reducing error by 18.3% [7] Group 3 - The competition featured diverse applications of AI, including a robotic system for underwater ship inspections that significantly reduces time and risk compared to traditional methods [8][9] - A project from Guangzhou University developed an intelligent waste collection system using AI to improve efficiency and accuracy in environmental cleanup [9] - The "AI + " special competition encourages collaboration between students and industry, allowing participants to engage with cutting-edge technology and real-world challenges [9][10] Group 4 - The competition also highlighted advancements in robotics, with teams developing humanoid robots capable of navigating complex environments and performing tasks with high accuracy [10][11] - Agricultural applications were represented by a project that uses AI for cattle management, improving efficiency and accuracy in livestock monitoring [12] - Another project focused on real-time monitoring of marine phytoplankton using AI, aiming to enhance ecological research and environmental protection efforts [13]