Group 1 - AI technology is transforming various aspects of life, leading to an increase in Chinese students pursuing AI studies abroad [1] - The AI academic system includes multiple professional directions, such as computer science (AI direction), AI engineering, data science, and machine learning [1] - Different universities have unique strengths in AI programs, with examples like Carnegie Mellon University excelling in machine learning and Technical University of Munich focusing on industrial applications in robotics [1] Group 2 - When choosing a study destination, factors like education quality, research resources, employment opportunities, living costs, cultural environment, and personal preferences should be considered [2] - The United States has numerous top research universities and a strong industrial base, with institutions like MIT, Stanford, and Carnegie Mellon producing many outstanding talents in AI [2] - The UK emphasizes academic research and innovation, with universities like Oxford and Cambridge having excellent research teams in AI and related fields [2] Group 3 - A solid academic background in mathematics, computer science, and statistics is crucial for applying to AI-related programs [3] - Participation in platforms like Kaggle and involvement in AI-related research can enhance a student's application [3] - The job market for AI professionals is expanding, with roles such as machine learning engineers and data scientists in high demand, alongside emerging positions like AI ethicists [3] Group 4 - Comprehensive consideration of various factors is essential for students choosing to study AI abroad, aiming to find the most suitable program and institution for their future development [4]