人工智能从幕后走向实用离不开人工智能技术取得的突破和发展。在互联网时代背景下,大数据、新型高性能计算架构以及深度学习帮助人工智能技术实现了从量变到质变的转变。其中,计算机视觉、语音识别技术均已能够规模化商用,自然语言处理技术仍处于攻关阶段,机器人技术则正在逐渐提升社会生产效率。除了三大技术基础外,开源也成为人工智能技术普及的催化剂,有效降低了人工智能的技术门槛。
<<It is impossible for AI to be employed to practice without breakthroughs and developments of AI. In the internet era,big data,new high-performance computing frame and deep learning help AI achieve great advances. Some technologies,computer vision and voice recognition for example,are widely utilized for business purpose,however,nature language processing technology is still in the research stage and the robotic is gradually improving social productivity. In addition to these three technologies,open resource platform also effectively reduces the technical threshold of AI.
<<Keywords: | High Performance ComputingDeep LearningNatural Language ProcessingComputer Vision TechnologyAutomatic Speech Recognition |