挑战与希望:AI 2.0时代从大数据到知识（英文）

发布时间：2018-01-07 00:06

本文关键词：挑战与希望:AI 2.0时代从大数据到知识（英文）　出处：《Frontiers of Information Technology & Electronic Engineering》2017年01期 　论文类型：期刊论文

【摘要】：本文对大数据时代人工智能领域近期出现的若干理论和技术进展进行了综述。我们认为,将数据驱动机器学习方法与人类的常识先验与隐式直觉有效结合起来,可实现可解释、更鲁棒和更通用的人工智能。AI 2.0时代大数据人工智能具体表现为:从浅层计算到深度神经推理;从单纯依赖于数据驱动的模型到数据驱动与知识引导相结合学习;从领域任务驱动智能到更为通用条件下的强人工智能(从经验中学习)。下一代人工智能(AI 2.0)将改变计算本身,将大数据转变为知识以支持人类社会作出更好决策。
[Abstract]:This paper reviews the progress of theory and technology in artificial intelligence field, the era of big data recently appeared. We believe that the data driven prior knowledge of machine learning and implicit method of intuition and human can be effectively combined, can realize the explanation, more robust and more general AI.AI 2 big data era of artificial intelligence specific performance as from the shallow depth of the neural computing to data from simple reasoning; to rely on data driven and model driven combination of learning and knowledge leads to more intelligent; strong artificial intelligence general condition from the field of task driven (learning from experience). The next generation of artificial intelligence (AI 2) will change the calculation itself and the big data into knowledge to support the human society to make better decisions.

【作者单位】： College
【分类号】：TP18
【正文快照】： 1 Introduction The idea of inanimate objects coming to life as intelligent beings has been around for a long time.Modern artificial intelligence(AI)was formally founded in 1956 at a workshop at Dartmouth College,where the term‘artificial intelligence’

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