Group 1 - Michael I. Jordan is recognized as a pioneer in machine learning and has recently been elected as a foreign academician of the Chinese Academy of Sciences [1][17] - He has extensive experience in both academia and industry, having collaborated with companies like Ant Group and Amazon, and has been involved in founding multiple companies [1][24] - Jordan emphasizes the importance of curiosity and applying mathematical thinking to solve real-world problems [1][2][27] Group 2 - Jordan's work spans various fields, including decision-making, knowledge exchange, and data prediction in real-world scenarios, which he believes does not require extraordinary talent but rather dedication and hard work [3][18] - He highlights the close relationship between machine learning and statistics, stating that learning involves making predictions based on statistical methods [7][22] - Jordan has engaged in significant collaborations in China, particularly in meteorology, where he worked on predicting severe weather events using machine learning [8][23] Group 3 - He has been involved in the development of tools that are currently used by Chinese meteorological departments, showcasing the practical applications of his research [8][23] - Jordan believes there is no disconnect between industry development and academic research, as many advancements in technology stem from academic findings [10][25] - He notes that while China has made strides in open-source initiatives, there is still a need to focus on creativity and problem-solving skills rather than just academic metrics [11][27]
专访迈克尔·乔丹:不要把像我这样的人视为“特例”
Xin Lang Cai Jing·2026-01-08 01:25