中圖分類號(hào)： TP301
文獻(xiàn)標(biāo)識(shí)碼： A
DOI：10.16157/j.issn.0258-7998.200346
中文引用格式： 李美桃. 從基礎(chǔ)研究淺析人工智能技術(shù)發(fā)展趨勢[J].電子技術(shù)應(yīng)用，2020，46(10)：29-33，38.
英文引用格式： Li Meitao. Analysis of the trend of artificial intelligence technology on basic research[J]. Application of Electronic Technique，2020，46(10)：29-33，38.

Analysis of the trend of artificial intelligence technology on basic research

Abstract： During the past sixty years, artificial intelligence(AI) has achieved rapid development jointly promoted by algorithms, computing power, and big data, but it is still in the stage of artificial narrow intelligence. The status and trends of basic research in AI algorithms and computing power are analyzed. The evolution of artificial narrow intelligence to artificial general intelligence will depend on breakthrough in AI basic theory research. On the aspect of AI algorithms, the deep learning algorithm model lacks interpretive reasoning and generalizability. AI encounters bottlenecks in basic theory and urgently needs a breakthrough. On the aspect of computing power, due to the CMOS physical limits the Moore′s law is approaching failure and the growth of computing power is slowing down, the general computing chip architecture is limited by Feng Neumann′s bottleneck and AI chips represented by neuromorphic chips are in the ascendant. On the aspect of data, the lack of high-quality data sets in specific area restricts AI technology application and more high-quality data sets will be continuously constructed in the short future. In short, the basic AI technology will slowly advance for a long time in the future, but the AI applications are booming from right now.

Key words : artificial intelligence；basic research；development trend；algorithm；computing power