研究具备自我提升能力软件的尝试最早始于20世纪60年代,而经常被称之为“机器学习”的技术仍然基本停留在学术研究阶段,只有极少部分进入商用市场的边缘,例如语音识别、信用卡诈骗侦测等领域。如今,专家认为随着更好的算法、更强性能的计算机和更智能的应用策略的相继问世,机器学习和自我训练软件技术将开始进入主流应用。 Attempts to develop self-improvement software began as early as the 1960s, and what is often referred to as “machine learning” remains largely in the academic research stage with very few in the margins of commercial markets such as speech recognition, Credit card fraud detection and other fields. Today, experts believe that with better algorithms, more powerful computers and more intelligent application strategies come out one after another, machine learning and self-training software technology will begin to enter the mainstream applications.