At 2 pm on March 26，The Thirteenth "Bowen Lecture" series lectures of the 13th issue of the School of Electrical Engineering use online live broadcast，Hold smoothly at the Tencent Conference。The theme of this forum is "Artificial Intelligence"，Su Ya, an associate researcher, serves as the lecture。
At the beginning of the lecture，Su Ya takes the AlphaGo incident a few years ago as the beginning，Explore students' interests，and propose the concept of artificial intelligence -pattern recognition，and the three main contents of the lecture -what is mode recognition、The teaching content of artificial intelligence courses and their basic tools。Su Ya Ming's current artificial intelligence position and prospect，Give students imagine space，The popularization of basic knowledge，It shows that artificial intelligence is "intelligent created by artificial systems"，The key is mode recognition。Subsequent，He focuses on explaining the method of two conventional mode recognition，Compare it with learning in real life。"House price prediction" and "good、Malignant breast cancer "as an example，Suya image explaining the two modes of identification method，And pointed out the essence of the essence of "whether the training samples are concentrated in the category of each sample"。
Then，Suya Analysis Mode recognition in Industry、Business、The role of major fields such as medicine，and become artificial intelligence、Machine learning、Artificial neural network、The beautiful prospects of the core of computer vision and other fields。Last，Suya combined with the minimum secondary problem and iteration of mathematics to gain global optimal best issues，Explain that compared to the two conventional mode recognition methods, "enhanced learning"。Su Ya recommends artificial intelligence related books、Encourage students to actively communicate in life，Work hard to publish papers to take a good academic road。
This post -news forum mainly introduces the basic knowledge of artificial intelligence，Help students broaden their vision、Improve innovation awareness，laid the foundation for the study and research of electrical students in related fields。
