Artificial Intelligence: The Inevitable Choice for the Next-Generation Grid and Energy Internet

Zhu Zhanxing, a distinguished researcher at the Peking University Big Data Science Research Center, introduced the process of machine learning and pointed out that the factors that determine its learning effect are mainly the objective function and the training method. He demonstrated his research team's recent attempt to conduct robust learning in traffic sign recognition, and pointed out that there is still no good data tool in the field of deep learning that can achieve a detailed description of the objective function. Subsequent in-depth research requires the joint efforts of multiple disciplines such as mathematical analysis, geometry, statistics, statistical physics, and game theory.

At this seminar, experts and scholars in their respective research fields deeply interpreted the key technologies and development trends of artificial intelligence, and jointly discussed the difficulties in the development of energy Internet supported by artificial intelligence. The seminar conveyed a message to people - the prospects for power artificial intelligence are broad, and with the joint efforts of all parties, fruitful results will surely be achieved.