摘要
深度学习被认为是可广泛应用的AI(人工智能)技术,教育、医疗、电力是我国社会民生发展的重要领域,从最新进展看,三大领域应用研究分别在医疗辅助诊断、教学评价模式及行为识别、缺陷识别及智能运维等方向较为集中,且大多数研究在模型与方法创新、实验验证方面比较活跃。利用深度学习、计算机视觉等A I技术进行目标识别、行为预测、进而实现更深层的分析,可代表当前深度学习在典型应用领域的研究趋势。
Deep learning is considered to be an AI technology that can be widely applied.Medical care,education and electric power are important fields for people's livelihood and social development in China.According to the latest progress,the applied research in the three fields is concentrated in the directions of medical assisted diagnosis,teaching evaluation mode and behavior recognition,power defect identification and intelligent operation and maintenance.Most of the researches are active in model and method innovation and experimental verification.The use of AI technologies such as deep learning and computer vision for target recognition,behavior prediction and further deeper analysis can represent the current research trend of deep learning in typical application fields.
作者
李恒
王淦
LI Heng;WANG Gan(School of Electronic Information and Artificial Intelligence,Shaanxi University of Science&Technology,Xi'an Shaanxi 710021;School of Electrical Engineering,Xi'an University of Technology,Xi'an Shaanxi 710054)
出处
《数字技术与应用》
2021年第4期216-218,共3页
Digital Technology & Application
关键词
AI
深度学习
典型应用
国内研究
教育
医学
电力
AI
Deep learning
Typical applications
Domestic research
Education
medicine
Electric power
