报告题目：Build AI systems that can learn not only from data but also from knowledge
For the last seven or eight years, Big data and AI are two hottest areas of research
and business development. With the availability of massive diversified data and high performance computers, the main school of AI researchers are mostly focusing on deep learning that learn, from data, classifiers and predictors for various speech recognition and computer vision applications. Interestingly enough, an area, once for many years, at the center of AI research known as knowledge representation and knowledge systems has been taking a back seat, though some serious efforts in the field have just begun to make significant impact during the last few years. In this presentation, I will talk about knowledge, data and their interplay, followed by a discussion of some recent research efforts in developing AI knowledge systems that can also learn from knowledge.
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