The content of this article comes from the speech of Tao Xiaodong, general manager of the Smart Medical Division of Keda Xunfei, at the CCF-GAIR conference of the Global Artificial Intelligence and Robotics Summit. The speech is divided into three parts: First, the background of artificial intelligence; Second, medical imaging solves clinical problems; The third is the direction in which medical images in the era of artificial intelligence should develop. Three peaks of artificial intelligence and two winters Looking back at the three waves of artificial intelligence, artificial intelligence has experienced three peaks since 1956, two winters, and is now at its third peak. The first peak came from the Perceptron, which solved some of the problems that seemed very difficult in 1956 and 1957. After that, due to limitations in computing power and various data limitations, many technologies It was not realized, so in 1981, artificial intelligence reached its first winter. Tao Xiaodong, General Manager of the Smart Medical Division of the University of Science and Technology, Bachelor of Electronic Engineering, University of Science and Technology of China, Ph.D., Johns Hopkins University, USA, and Senior Member of the Institute of Electrical and Electronics Engineers (IEEE). His research interests are medical imaging. The second wave is due to the introduction of the Hopfield Network & BP algorithm, as well as the increase in computing power and storage capacity. But by the 1990s, with the failure of Japan to promote the fifth-generation computer, the industry was introduced to the second winter. Now we are in the third wave, and its starting point is the concept of deep learning proposed in 2009. The concept of deep learning has many extended algorithms that have been successfully applied in different areas, including the recent hot AlphaGo. These successful times have suddenly made people think that artificial intelligence really wants to change our world.
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